Contract No.: 282-98-0021
MPR Reference No.: 8687-300
2000 Health Care Survey of
DoD Beneficiaries:
Adult Codebook and User‟s Guide
August 2001
Quarter II
Submitted to: Submitted by:
TRICARE Management Activity Mathematica Policy Research, Inc.
5111 Leesburg Pike, Suite 810 600 Maryland Ave., SW, Suite 550
Falls Church, VA 22041 Washington, DC 20024-2512
(703) 681-4263 (202) 484-9220
Task Order Officer: Project Director:
LTC Thomas V. Williams, Ph.D. Eric Schone, Ph. D.
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
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2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
Contents
Lists Page
Table of Variables ............................................................................................................................... v
Alphabetical Table of Variables ........................................................................................................ xiii
Chapters
1 Introduction .......................................................................................................................................... 1
2 Description of the Adult HCSDB Database........................................................................................ 5
3 Programming Guide............................................................................................................................ 9
- How to Make a Table Using SAS................................................................................................ 9
- How to Make a Table Using SPSS ........................................................................................... 34
- Calculating Variances of Estimates........................................................................................... 86
4 Codebook .......................................................................................................................................... 91
References .................................................................................................................................................... 233
Appendices
A Annotated Questionnaire – Quarter II ................................................................................. A-1
B Crosswalk for 1994-1995, 1996, 1997, 1998, 1999 and 2000
Adult HCSDB – Quarter II ............................................................................................................... B-1
C Data Quality Coding Scheme and Coding Tables .............................................................. C-1
D SAS Proc Contents -- Alphabetical 2000 Adult HCSDB – Quarter II .......................................... D-1
E SAS Proc Contents -- Positional 2000 Adult HCSDB – Quarter II ........................................ E-1
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2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
Table of Variables
Page
SAMPLING VARIABLES
MPRID -Unique MPR Identifier ........................................................................................... 93
SVCSMPL -Branch of Service Sampling Variable.................................................................... 93
SEXSMPL -Sex Sampling Variable .......................................................................................... 93
STRATUM -Sampling STRATUM ............................................................................................. 93
CACSMPL -Catchment Area .................................................................................................... 107
ENBGSMPL -Enrollment by beneficiary category ....................................................................... 110
STRSMPL -Geographic Stratum .............................................................................................. 111
MPCSMPL -Military Personnel Category .................................................................................. 114
NHFF -Stratum Sample Size ............................................................................................ 114
SUBDEMO -Subvention Area for Over 65................................................................................. 114
SERVAREA -Service Area.......................................................................................................... 115
DEERS VARIABLES
SERVAFF -Service Affiliation................................................................................................... 115
MRTLSTAT -Marital Status ........................................................................................................ 116
RACEETHN -Race/Ethnic Code ................................................................................................. 116
PNSEXCD -Person Gender ...................................................................................................... 116
LEGDDSCD -DDS Code ............................................................................................................. 117
DAGEQY -Age (As of 31 July 2000) ....................................................................................... 117
PCM -Primary Manager Code (Civilian or Military).......................................................... 117
TSPSITE -TSP Site (regardless of age) ................................................................................. 118
DBENCAT -Beneficiary Category ............................................................................................. 118
DMEDELG -Medical Privilege Code ......................................................................................... 119
DSPONSVC -Derived Sponsor Branch of Service ...................................................................... 119
MBRRELCD -Member Relationship Code................................................................................... 119
MEDTYPE -Medicare Type ...................................................................................................... 120
PATCAT -Aggregated Beneficiary Category ......................................................................... 120
PNARSNCD -Person Association Reason Code ........................................................................ 120
PNLCATCD -Personnel Category Code (Duty Status) ............................................................... 121
UPDATED DEERS VARIABLES
FNSTATUS -Final Status ........................................................................................................... 121
KEYCOUNT -Number of Key Questions Answered .................................................................... 121
E1 -Eligibility indicator for period = 1 ........................................................................... 122
E2 -Eligibility indicator for period = 2 ........................................................................... 122
QUESTIONNAIRE RESPONSES
H00001 -Which health plan did you use most in the past 12 months? ................................ 122
H00002 -Years in a row with health plan ............................................................................. 123
H00003A -Health plan(s) covered: TRICARE Prime.............................................................. 123
H00003B -Health plan(s) covered: TRICARE Senior Prime .................................................. 123
H00003C -Health plan(s) covered: TRICARE Extra or Standard ........................................... 123
H00003D -Health plan(s) covered: Medicare Part A .............................................................. 124
H00003E -Health plan(s) covered: Medicare Part B .............................................................. 124
H00003F -Health plan(s) covered: Medigap .......................................................................... 124
H00003G -Health plan(s) covered: FEHBP ............................................................................ 124
H00003H -Health plan(s) covered: Medicaid.......................................................................... 124
H00003I -Health plan(s) covered: Civilian HMO ................................................................... 125
H00003J -Health plan(s) covered: Other civilian health insurance ........................................ 125
H00003K -Health plan(s) covered: USFHP ............................................................................ 125
H00003L -Health plan(s) covered: Not sure .......................................................................... 125
H00004 -How is enrolment fee or insurance policy premium paid? .................................... 126
H00006 -When joined health plan, you received new personal doctor ................................ 126
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H00007 -Health plan: problem to get a personal doctor or nurse you are happy with ......... 126
H00008 -Have one person you think of as personal doctor ................................................. 127
H00009 -Rating of your personal doctor or nurse ................................................................ 127
H00010 -Currently enrolled in TRICARE Prime or Senior Prime ......................................... 127
H00011 -TRICARE member: primary care manager (PCM) based in a military or
civilian facility .......................................................................................................... 128
H00012 -Know your PCM's name 128
H00013 -In last year: you or a doctor or nurse think you needed to see a specialist .......... 128
H00014 -In last year: how much of a problem to get a referral to see a specialist? ............ 129
H00015 -In last year: did you see a specialist?.................................................................... 129
H00016 -Rating of specialist seen in last year ..................................................................... 129
H00017 -In last year: specialist saw was the same as personal doctor .............................. 130
H00018 -In last year: called a doctor's office or clinic during regular office hours to
get help or advice for yourself ................................................................................ 130
H00019 -In last year: when you called during regular office hours, how often got
help or advice you needed ..................................................................................... 130
H00020 -In last year: made any appointments for regular or routine healthcare ................. 131
H00021 -In last year: how often made appointments for regular or routine
healthcare as soon as you wanted? ....................................................................... 131
H00022 -In last year: days between appointment for regular or routine care and
actually seeing a provider ....................................................................................... 132
H00023 -In last year: illness/injury needed care right away ................................................. 132
H00024 -In last year: when needed care right away for an illness or injury, got care
as soon as wanted ................................................................................................. 132
H00025 -In last year: wait between trying to get care and actually seeing a provider
for an illness or injury ............................................................................................. 133
H00026 -In last year: went to an emergency room for own care ......................................... 133
H00027 -In last year: went to a doctor's office or clinic for yourself (not counting
times went to an emergency room) ........................................................................ 134
H00028 -In last year: problem to get necessary care .......................................................... 134
H00029 -In last year: problem with delays in healthcare while waiting for approval
from health plan...................................................................................................... 134
H00030 -In last year: wait more than 15 minutes past appointment time to see a
doctor ..................................................................................................................... 135
H00031 -In last year: how often office staff at a doctor's office or clinic treated you
with courtesy and respect? ..................................................................................... 135
H00032 -In last year: how often office staff at a doctor's office or clinic as helpful as
expected? ............................................................................................................... 136
H00033 -In last year: how often doctors or other health providers listen carefully to
you? ........................................................................................................................ 136
H00034 -In last year: how often doctors or other health providers explain things in a
way you could understand? .................................................................................... 137
H00035 -In last year: how often doctors or other health providers show respect for
what you had to say? .............................................................................................. 137
H00036 -In last year: how often doctors or other health providers spend enough
time with you........................................................................................................... 138
H00037 -Rating of all health care in last year ...................................................................... 138
H00038 -MTF conveniently located to you........................................................................... 139
H00039 -In last year: how much of your healthcare did you receive from a MTF?.............. 139
H00040 -In last year: prescriptions filled at a MTF pharmacy.............................................. 139
H00041 -In last year: prescriptions that were written by a civilian provider but were
filled at a military pharmacy .................................................................................... 140
H00042 -In last year: facility used most for healthcare ........................................................ 140
H00043 -In last year: sent in any claims to your health plan ................................................ 140
H00044 -In last year: health plan handled claims in a reasonable time............................... 141
H00045 -In last year: how often health plan handled claims correctly ................................. 141
H00046 -In last year: before went for care, know amount to pay ........................................ 142
H00047 -In last year: look for any information in written materials from health plan 142
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H00048 -In last year: problem to find or understand information in the written
materials ................................................................................................................. 142
H00049 -In last year: called health plan's customer service to get information or
help ......................................................................................................................... 143
H00050 -In last year: problem to get the help you needed when called health plan's
customer service .................................................................................................... 143
H00051 -Called or written health plan with a complaint or problem ..................................... 143
H00052 -How long for health plan to resolve complaint? .................................................... 144
H00053 -Complaint or problem settled to satisfaction ......................................................... 144
H00054 -In last year: have any experiences with paperwork for your health plan ............... 144
H00055 -In last year: how much problems with paperwork for your health plan ................. 145
H00056 -Rating of all experience with health plan ............................................................... 145
H00057 -In next year: likely to disenroll in TRICARE Prime for a different type of
health plan .............................................................................................................. 146
H00058 -In next year: likely to enroll in TRICARE Prime ..................................................... 146
H00059 -In last year: expenses not covered by health plan ................................................ 147
H00061 -Not sick/pregnant: last medical or physical exam or checkup .............................. 147
H00062 -Blood pressure: when last reading ........................................................................ 147
H00063 -Blood pressure: know if blood pressure is too high or not .................................... 148
H00064 -Last had cholesterol screening ............................................................................. 148
H00065 -Last had a flu shot ................................................................................................. 148
H00066 -Smoked at least 100 cigarettes in life ................................................................... 149
H00067 -Smoke everyday, some days or not at all ............................................................. 149
H00068 -How long since you quit smoking .......................................................................... 149
H00069 -In last year: number of visits advised to quit smoking ........................................... 150
H00070 -Are you male or female? ....................................................................................... 150
H00071 -Last had a prostate gland examination or blood test for prostate disease............ 150
H00072 -Last had a Pap smear test .................................................................................... 151
H00073A -Are you under age 40? .......................................................................................... 151
H00073B -Last time breasts were checked by mammography ............................................. 151
H00074 -Last had a breast exam by a professional ............................................................ 152
H00075 -Been pregnant in last year or pregnant now ......................................................... 152
H00076A -In what trimester is your pregnancy? .................................................................... 152
H00076B -Trimester first received prenatal care ................................................................... 153
H00077 -Rating of your overall health now .......................................................................... 153
SREDA -Highest grade completed ...................................................................................... 153
H00079 -Are you Spanish/Hispanic/Latino? ........................................................................ 154
SRRACEA -Race: White .......................................................................................................... 154
SRRACEB -Race: Black or African American .......................................................................... 154
SRRACEC -Race: American Indian or Alaska Native .............................................................. 154
SRRACED -Race: Asian ........................................................................................................... 155
SRRACEE -Race: Native Hawaiian/other Pacific Islanders ..................................................... 155
SRAGE -What is your age now?.......................................................................................... 155
H00083A -Decision to use MTF: Cost .................................................................................... 155
H00083B -Decision to use MTF: Convenience of location ..................................................... 156
H00083C -Decision to use MTF: Quality of healthcare .......................................................... 156
H00083D -Decision to use MTF: Convenience of telephone access ..................................... 156
H00083E -Decision to use MTF: Timeliness of appointments ............................................... 156
H00083F -Decision to use MTF: Military courtesy ................................................................. 156
H00083G -Decision to use MTF: Relationship with a personal physician .............................. 157
H00083H -Decision to use MTF: Co-location of services in a MTF ....................................... 157
H00083I -Decision to use MTF: Lack of paperwork/claims .................................................. 157
H00084 -Single most important reason to use MTF ............................................................ 157
H00085A -Info sources: Retiree organization newsletter ....................................................... 158
H00085B -Info sources: Health Benefits Advisor ................................................................... 158
H00085C -Info sources: Pamphlets in a MTF ........................................................................ 158
H00085D -Info sources: Internet ............................................................................................ 158
H00085E -Info sources: Base newspaper .............................................................................. 158
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H00085F -Info sources: Information in retired pay statement ................................................ 159
H00085G -Info sources: TV .................................................................................................... 159
H00085H -Info sources: Radio ............................................................................................... 159
H00085I -Info sources: Friends or relatives .......................................................................... 159
H00085J -Info sources: Beneficiary Counseling Assistance Coordinators (BCACs) ............ 159
S00M01 -In lst yr:need treatment or counseling ................................................................... 160
S00M02 -In lst yr:prblm to get treatment .............................................................................. 160
S00M03 -Rating of treatment or counseling ......................................................................... 160
S00A01A -Hrdning of the arteries, arteriosclrsis .................................................................... 161
S00A01B -Hypertension ......................................................................................................... 161
S00A01C -A myocardial infarction or heart attack .................................................................. 161
S00A01D -Angina pectoris or coronary heart dis ................................................................... 161
S00A01E -Other heart conditions ........................................................................................... 162
S00A01F -Stroke,brain hmrrhge, crbrovasclr accdnt ............................................................. 162
S00A01G -Skin cancer ........................................................................................................... 162
S00A01H -Any other kind of cancer ....................................................................................... 162
S00A01I -Diabetes, high blood sugar,sgr in urine................................................................. 163
S00A01J -Rheumatoid arthritis .............................................................................................. 163
S00A01K -Arthritis other than rheumatoid .............................................................................. 163
S00A01L -Osteoperosis ......................................................................................................... 163
S00A01M -A broken hip .......................................................................................................... 164
S00A01N -Alzheimer's disease or dementia .......................................................................... 164
S00A01O -A mental or psychiatric disorder ............................................................................ 164
S00A01P -Parkinson's disease .............................................................................................. 164
S00A01Q -Emphysema, asthma or COPD............................................................................. 165
S00A01R -Complete or partial paralysis ................................................................................. 165
S00A02 -Used MTFs other thn for prscrption drugs ............................................................ 165
S00A03 -Visits to Drs office,clinic,emrgncy rm .................................................................... 166
S00A04 -# Overnight stays as patient at MTF ..................................................................... 166
S00A05A -Emergency care from an emrgncy room .............................................................. 166
S00A05B -Urgnt care not from an emrgncy room .................................................................. 167
S00A05C -Preventive care ..................................................................................................... 167
S00A05D -Routine care .......................................................................................................... 167
S00A05E -Hsptl care in whch you stayed overnight ............................................................... 167
S00A05F -Labs and x-rays ..................................................................................................... 168
S00A05G -Surgry or diagnostics w/no ovrnight stay............................................................... 168
S00A05H -Care from a specialist ........................................................................................... 168
S00A06 -Are you covered by Medicare Part B now ............................................................. 168
S00A07 -Will you begin paying Part B premium .................................................................. 169
S00A08 -Are you enrlled in TRICARE Senior Prime............................................................ 169
S00A09 -Disenrl frm TRICARE SP after 10/1/2001 ............................................................. 169
S00A10 -Chnge use of MTFs for space-available cr ........................................................... 170
S00A11A -Will use MTF:Emrgncy care frm emrgncy rm ....................................................... 170
S00A11B -Will use MTF:Prescription Drugs .......................................................................... 170
S00A11C -Will use MTF:Urgnt cre nt frm emrgncy rm ........................................................... 171
S00A11D -Will use MTF:Preventive care ............................................................................... 171
S00A11E -Will use MTF:Routine care.................................................................................... 171
S00A11F -Will use MTF:Hospital care, ovrnght stay ............................................................. 171
S00A11G -Will use MTF:Labs and x-rays .............................................................................. 172
S00A11H -Will use MTF:Surgery, w/no ovrnight stay............................................................. 172
S00A11I -Will use MTF:Care from a specialist ..................................................................... 172
S00A11J -I won't use MTF for space available care.............................................................. 172
S00A12 -Would you enroll in TRICARE Prime .................................................................... 173
S00A13 -Enrl in TCP if you cldn't use mil. Dr ....................................................................... 173
DRC SURVEY FIELDING VARIABLES
FLAG_FIN -Final Disposition .................................................................................................... 173
DUPFLAG -Multiple Response Indicator .................................................................................. 174
CODING SCHEME FLAGS AND COUNTS
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N1 -Coding Scheme Note 1 ......................................................................................... 174
N2 -Coding Scheme Note 2 ......................................................................................... 174
N3 -Coding Scheme Note 3 ......................................................................................... 174
N4 -Coding Scheme Note 4 ......................................................................................... 175
N5 -Coding Scheme Note 5 ......................................................................................... 175
N6 -Coding Scheme Note 6 ......................................................................................... 175
N7 -Coding Scheme Note 7 ......................................................................................... 176
N8 -Coding Scheme Note 8 ......................................................................................... 176
N9 -Coding Scheme Note 9 ......................................................................................... 176
N10 -Coding Scheme Note 10 ....................................................................................... 177
N11 -Coding Scheme Note 11 ....................................................................................... 177
N12 -Coding Scheme Note 12 ....................................................................................... 177
N13 -Coding Scheme Note 13 ....................................................................................... 178
N14 -Coding Scheme Note 14 ....................................................................................... 178
N15 -Coding Scheme Note 15 ....................................................................................... 178
N16 -Coding Scheme Note 16 ....................................................................................... 179
N17 -Coding Scheme Note 17 ....................................................................................... 179
N18A -Coding Scheme Note 18A..................................................................................... 180
N18B -Coding Scheme Note 18B..................................................................................... 180
N18C -Coding Scheme Note 18C .................................................................................... 180
N19 -Coding Scheme Note 19 ....................................................................................... 181
N20 -Coding Scheme Note 20 ....................................................................................... 181
N22 -Coding Scheme Note 22 ....................................................................................... 181
N23 -Coding Scheme Note 23 ....................................................................................... 182
N24 -Coding Scheme Note 24 ....................................................................................... 182
N25 -Coding Scheme Note 25 ....................................................................................... 182
N26 -Coding Scheme Note 26 ....................................................................................... 182
N27 -Coding Scheme Note 27 ....................................................................................... 183
MISS_1 -Count of: Violates Skip Pattern ............................................................................. 183
MISS_4 -Count of: Incomplete grid error ............................................................................. 183
MISS_5 -Count of: Scalable response of Don't know .......................................................... 183
MISS_6 -Count of: Not applicable - valid skip ...................................................................... 184
MISS_7 -Count of: Out-of-range error ................................................................................. 184
MISS_8 -Count of: Multiple response error .......................................................................... 185
MISS_9 -Count of: No response - invalid skip ..................................................................... 186
MISS_TOT -Total number of missing responses ...................................................................... 187
CONSTRUCTED VARIABLES
XENRLLMT -Enrollment in TRICARE Prime .............................................................................. 188
XENR_PCM -Enrollment by PCM type........................................................................................ 188
XINS_COV -Insurance Coverage .............................................................................................. 188
XQENROLL -Enrollment according to questionnaire response .................................................. 189
XREGION -Region ................................................................................................................... 189
CONUS -CONUS/OCONUS Indicator ................................................................................. 189
OUTCATCH -Out of Catchment Area Indicator .......................................................................... 190
XSEXA -Male or Female (Recode) ..................................................................................... 190
XBNFGRP -Constructed Beneficiary Group ............................................................................. 190
KENRINTN -Intention to enroll ................................................................................................... 190
KDISENRL -Intention to disenroll .............................................................................................. 191
KMILOFFC -Office wait of 15 min or more at Military facility ..................................................... 191
KCIVOFFC -Office wait of 15 min or more at Civilian facility .................................................... 191
KBGPRB1 -Big problem getting referrals to specialist ............................................................. 191
KBGPRB2 -Big problem getting necessary care ...................................................................... 192
KMILOPQY -Outpatient visits to Military facility ......................................................................... 192
KCIVOPQY -Outpatient visits to Civilian facility ......................................................................... 192
KCIVINS -Beneficiary covered by civilian insurance.............................................................. 193
KCOST_2 -Out-of-pocket costs more than $500 .................................................................... 193
KMEDIGAP -Beneficiary covered by Medigap ........................................................................... 193
KPRSCPTN -7 or more civilian prescriptions filled by military pharmacy ................................... 193
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KBRSTCR -Women age 40 and over, ever had mammogram and breast exam .................... 194
HP_PRNTL -Pregnant in last year, received care in 1st trimester ............................................. 194
HP_MAMOG -Women age 40 and over, mammography in past 2 years .................................... 194
HP_MAM50 -Women age 50 and over, mammography in past 2 years .................................... 194
HP_PAP -All women, Pap smear in last 3 years ................................................................... 195
HP_BP -Blood pressure check in last 2 years, know results .............................................. 195
HP_FLU -Age 65 and older, flu shot in last 12 months ......................................................... 195
HP_PROS -Men age 50 or over, prostrate exam in last 12 months......................................... 195
HP_GP -General physical exam in last 12 months ............................................................. 196
HP_BRST -Women age 40 and over, breast exam in last 12 months .................................... 196
HP_CHOL -Cholesterol screening in last 5 years .................................................................... 196
HP_SMOKE -Advised to quit smoking in last 12 months ............................................................ 196
WEIGHTS
BWT -Basic Sampling Weight ......................................................................................... 197
ADJ_CELL -Adjusted STRATUM cell ....................................................................................... 197
POSTSTR -Post Stratification Cell ........................................................................................... 207
WRWT -Final Weight .......................................................................................................... 211
WRWT1 -Replicated/JackKnife Weight 1 ............................................................................. 212
WRWT2 -Replicated/JackKnife Weight 2 ............................................................................. 212
WRWT3 -Replicated/JackKnife Weight 3 ............................................................................. 212
WRWT4 -Replicated/JackKnife Weight 4 ............................................................................. 213
WRWT5 -Replicated/JackKnife Weight 5 ............................................................................. 213
WRWT6 -Replicated/JackKnife Weight 6 ............................................................................. 213
WRWT7 -Replicated/JackKnife Weight 7 ............................................................................. 214
WRWT8 -Replicated/JackKnife Weight 8 ............................................................................. 214
WRWT9 -Replicated/JackKnife Weight 9 ............................................................................. 214
WRWT10 -Replicated/JackKnife Weight 10 ........................................................................... 215
WRWT11 -Replicated/JackKnife Weight 11 ........................................................................... 215
WRWT12 -Replicated/JackKnife Weight 12 ........................................................................... 215
WRWT13 -Replicated/JackKnife Weight 13 ........................................................................... 216
WRWT14 -Replicated/JackKnife Weight 14 ........................................................................... 216
WRWT15 -Replicated/JackKnife Weight 15 ........................................................................... 216
WRWT16 -Replicated/JackKnife Weight 16 ........................................................................... 217
WRWT17 -Replicated/JackKnife Weight 17 ........................................................................... 217
WRWT18 -Replicated/JackKnife Weight 18 ........................................................................... 217
WRWT19 -Replicated/JackKnife Weight 19 ........................................................................... 218
WRWT20 -Replicated/JackKnife Weight 20 ........................................................................... 218
WRWT21 -Replicated/JackKnife Weight 21 ........................................................................... 218
WRWT22 -Replicated/JackKnife Weight 22 ........................................................................... 219
WRWT23 -Replicated/JackKnife Weight 23 ........................................................................... 219
WRWT24 -Replicated/JackKnife Weight 24 ........................................................................... 219
WRWT25 -Replicated/JackKnife Weight 25 ........................................................................... 220
WRWT26 -Replicated/JackKnife Weight 26 ........................................................................... 220
WRWT27 -Replicated/JackKnife Weight 27 ........................................................................... 220
WRWT28 -Replicated/JackKnife Weight 28 ........................................................................... 221
WRWT29 -Replicated/JackKnife Weight 29 ........................................................................... 221
WRWT30 -Replicated/JackKnife Weight 30 ........................................................................... 221
WRWT31 -Replicated/JackKnife Weight 31 ........................................................................... 222
WRWT32 -Replicated/JackKnife Weight 32 ........................................................................... 222
WRWT33 -Replicated/JackKnife Weight 33 ........................................................................... 222
WRWT34 -Replicated/JackKnife Weight 34 ........................................................................... 223
WRWT35 -Replicated/JackKnife Weight 35 ........................................................................... 223
WRWT36 -Replicated/JackKnife Weight 36 ........................................................................... 223
WRWT37 -Replicated/JackKnife Weight 37 ........................................................................... 224
WRWT38 -Replicated/JackKnife Weight 38 ........................................................................... 224
WRWT39 -Replicated/JackKnife Weight 39 ........................................................................... 224
WRWT40 -Replicated/JackKnife Weight 40 ........................................................................... 225
WRWT41 -Replicated/JackKnife Weight 41 ........................................................................... 225
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WRWT42 -Replicated/JackKnife Weight 42 ........................................................................... 225
WRWT43 -Replicated/JackKnife Weight 43 ........................................................................... 226
WRWT44 -Replicated/JackKnife Weight 44 ........................................................................... 226
WRWT45 -Replicated/JackKnife Weight 45 ........................................................................... 226
WRWT46 -Replicated/JackKnife Weight 46 ........................................................................... 227
WRWT47 -Replicated/JackKnife Weight 47 ........................................................................... 227
WRWT48 -Replicated/JackKnife Weight 48 ........................................................................... 227
WRWT49 -Replicated/JackKnife Weight 49 ........................................................................... 228
WRWT50 -Replicated/JackKnife Weight 50 ........................................................................... 228
WRWT51 -Replicated/JackKnife Weight 51 ........................................................................... 228
WRWT52 -Replicated/JackKnife Weight 52 ........................................................................... 229
WRWT53 -Replicated/JackKnife Weight 53 ........................................................................... 229
WRWT54 -Replicated/JackKnife Weight 54 ........................................................................... 229
WRWT55 -Replicated/JackKnife Weight 55 ........................................................................... 230
WRWT56 -Replicated/JackKnife Weight 56 ........................................................................... 230
WRWT57 -Replicated/JackKnife Weight 57 ........................................................................... 230
WRWT58 -Replicated/JackKnife Weight 58 ........................................................................... 231
WRWT59 -Replicated/JackKnife Weight 59 ........................................................................... 231
WRWT60 -Replicated/JackKnife Weight 60 ........................................................................... 231
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Alphabetical Table of Variables
Page
ADJ_CELL -Adjusted STRATUM cell ....................................................................................... 197
BWT -Basic Sampling Weight ......................................................................................... 197
CACSMPL -Catchment Area .................................................................................................... 107
CONUS -CONUS/OCONUS Indicator ................................................................................. 189
DAGEQY -Age (As of 31 July 2000) ....................................................................................... 117
DBENCAT -Beneficiary Category ............................................................................................. 118
DMEDELG -Medical Privilege Code ......................................................................................... 119
DSPONSVC -Derived Sponsor Branch of Service ...................................................................... 119
DUPFLAG -Multiple Response Indicator .................................................................................. 174
E1 -Eligibility indicator for period = 1 ........................................................................... 122
E2 -Eligibility indicator for period = 2 ........................................................................... 122
ENBGSMPL -Enrollment by beneficiary category ....................................................................... 110
FLAG_FIN -Final Disposition .................................................................................................... 173
FNSTATUS -Final Status ........................................................................................................... 121
H00001 -Which health plan did you use most in the past 12 months? ................................ 122
H00002 -Years in a row with health plan ............................................................................. 123
H00003A -Health plan(s) covered: TRICARE Prime .............................................................. 123
H00003B -Health plan(s) covered: TRICARE Senior Prime .................................................. 123
H00003C -Health plan(s) covered: TRICARE Extra or Standard ........................................... 123
H00003D -Health plan(s) covered: Medicare Part A .............................................................. 124
H00003E -Health plan(s) covered: Medicare Part B .............................................................. 124
H00003F -Health plan(s) covered: Medigap .......................................................................... 124
H00003G -Health plan(s) covered: FEHBP ............................................................................ 124
H00003H -Health plan(s) covered: Medicaid.......................................................................... 124
H00003I -Health plan(s) covered: Civilian HMO ................................................................... 125
H00003J -Health plan(s) covered: Other civilian health insurance ........................................ 125
H00003K -Health plan(s) covered: USFHP ............................................................................ 125
H00003L -Health plan(s) covered: Not sure .......................................................................... 125
H00004 -How is enrolment fee or insurance policy premium paid? .................................... 126
H00006 -When joined health plan, you received new personal doctor ................................ 126
H00007 -Health plan: problem to get a personal doctor or nurse you are happy with ......... 126
H00008 -Have one person you think of as personal doctor ................................................. 127
H00009 -Rating of your personal doctor or nurse ................................................................ 127
H00010 -Currently enrolled in TRICARE Prime or Senior Prime ......................................... 127
H00011 -TRICARE member: primary care manager (PCM) based in a military or
civilian facility .......................................................................................................... 128
H00012 -Know your PCM's name 128
H00013 -In last year: you or a doctor or nurse think you needed to see a specialist .......... 128
H00014 -In last year: how much of a problem to get a referral to see a specialist? ............ 129
H00015 -In last year: did you see a specialist?.................................................................... 129
H00016 -Rating of specialist seen in last year ..................................................................... 129
H00017 -In last year: specialist saw was the same as personal doctor .............................. 130
H00018 -In last year: called a doctor's office or clinic during regular office hours to
get help or advice for yourself ................................................................................ 130
H00019 -In last year: when you called during regular office hours, how often got
help or advice you needed ..................................................................................... 130
H00020 -In last year: made any appointments for regular or routine healthcare ................. 131
H00021 -In last year: how often made appointments for regular or routine
healthcare as soon as you wanted? ....................................................................... 131
H00022 -In last year: days between appointment for regular or routine care and
actually seeing a provider ....................................................................................... 132
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H00023 -In last year: illness/injury needed care right away ................................................. 132
H00024 -In last year: when needed care right away for an illness or injury, got care
as soon as wanted ................................................................................................. 132
H00025 -In last year: wait between trying to get care and actually seeing a provider
for an illness or injury ............................................................................................. 133
H00026 -In last year: went to an emergency room for own care ......................................... 133
H00027 -In last year: went to a doctor's office or clinic for yourself (not counting
times went to an emergency room) ........................................................................ 134
H00028 -In last year: problem to get necessary care .......................................................... 134
H00029 -In last year: problem with delays in healthcare while waiting for approval
from health plan...................................................................................................... 134
H00030 -In last year: wait more than 15 minutes past appointment time to see a
doctor ..................................................................................................................... 135
H00031 -In last year: how often office staff at a doctor's office or clinic treated you
with courtesy and respect? ..................................................................................... 135
H00032 -In last year: how often office staff at a doctor's office or clinic as helpful as
expected? ............................................................................................................... 136
H00033 -In last year: how often doctors or other health providers listen carefully to
you? ........................................................................................................................ 136
H00034 -In last year: how often doctors or other health providers explain things in a
way you could understand? .................................................................................... 137
H00035 -In last year: how often doctors or other health providers show respect for
what you had to say? .............................................................................................. 137
H00036 -In last year: how often doctors or other health providers spend enough
time with you........................................................................................................... 138
H00037 -Rating of all health care in last year ...................................................................... 138
H00038 -MTF conveniently located to you........................................................................... 139
H00039 -In last year: how much of your healthcare did you receive from a MTF?.............. 139
H00040 -In last year: prescriptions filled at a MTF pharmacy.............................................. 139
H00041 -In last year: prescriptions that were written by a civilian provider but were
filled at a military pharmacy .................................................................................... 140
H00042 -In last year: facility used most for healthcare ........................................................ 140
H00043 -In last year: sent in any claims to your health plan ................................................ 140
H00044 -In last year: health plan handled claims in a reasonable time............................... 141
H00045 -In last year: how often health plan handled claims correctly ................................. 141
H00046 -In last year: before went for care, know amount to pay ........................................ 142
H00047 -In last year: look for any information in written materials from health plan 142
H00048 -In last year: problem to find or understand information in the written
materials ................................................................................................................. 142
H00049 -In last year: called health plan's customer service to get information or
help ......................................................................................................................... 143
H00050 -In last year: problem to get the help you needed when called health plan's
customer service .................................................................................................... 143
H00051 -Called or written health plan with a complaint or problem ..................................... 143
H00052 -How long for health plan to resolve complaint? .................................................... 144
H00053 -Complaint or problem settled to satisfaction ......................................................... 144
H00054 -In last year: have any experiences with paperwork for your health plan ............... 144
H00055 -In last year: how much problems with paperwork for your health plan ................. 145
H00056 -Rating of all experience with health plan ............................................................... 145
H00057 -In next year: likely to disenroll in TRICARE Prime for a different type of
health plan .............................................................................................................. 146
H00058 -In next year: likely to enroll in TRICARE Prime ..................................................... 146
H00059 -In last year: expenses not covered by health plan ................................................ 147
H00061 -Not sick/pregnant: last medical or physical exam or checkup .............................. 147
H00062 -Blood pressure: when last reading ........................................................................ 147
H00063 -Blood pressure: know if blood pressure is too high or not .................................... 148
H00064 -Last had cholesterol screening ............................................................................. 148
H00065 -Last had a flu shot ................................................................................................. 148
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H00066 -Smoked at least 100 cigarettes in life ................................................................... 149
H00067 -Smoke everyday, some days or not at all ............................................................. 149
H00068 -How long since you quit smoking .......................................................................... 149
H00069 -In last year: number of visits advised to quit smoking........................................... 150
H00070 -Are you male or female? ....................................................................................... 150
H00071 -Last had a prostate gland examination or blood test for prostate disease............ 150
H00072 -Last had a Pap smear test .................................................................................... 151
H00073A -Are you under age 40? .......................................................................................... 151
H00073B -Last time breasts were checked by mammography ............................................. 151
H00074 -Last had a breast exam by a professional ............................................................ 152
H00075 -Been pregnant in last year or pregnant now ......................................................... 152
H00076A -In what trimester is your pregnancy? .................................................................... 152
H00076B -Trimester first received prenatal care ................................................................... 153
H00077 -Rating of your overall health now .......................................................................... 153
H00079 -Are you Spanish/Hispanic/Latino? ........................................................................ 154
H00083A -Decision to use MTF: Cost .................................................................................... 155
H00083B -Decision to use MTF: Convenience of location ..................................................... 156
H00083C -Decision to use MTF: Quality of healthcare .......................................................... 156
H00083D -Decision to use MTF: Convenience of telephone access ..................................... 156
H00083E -Decision to use MTF: Timeliness of appointments ............................................... 156
H00083F -Decision to use MTF: Military courtesy ................................................................. 156
H00083G -Decision to use MTF: Relationship with a personal physician .............................. 157
H00083H -Decision to use MTF: Co-location of services in a MTF ....................................... 157
H00083I -Decision to use MTF: Lack of paperwork/claims .................................................. 157
H00084 -Single most important reason to use MTF ............................................................ 157
H00085A -Info sources: Retiree organization newsletter ....................................................... 158
H00085B -Info sources: Health Benefits Advisor ................................................................... 158
H00085C -Info sources: Pamphlets in a MTF ........................................................................ 158
H00085D -Info sources: Internet ............................................................................................ 158
H00085E -Info sources: Base newspaper .............................................................................. 158
H00085F -Info sources: Information in retired pay statement ................................................ 159
H00085G -Info sources: TV .................................................................................................... 159
H00085H -Info sources: Radio ............................................................................................... 159
H00085I -Info sources: Friends or relatives .......................................................................... 159
H00085J -Info sources: Beneficiary Counseling Assistance Coordinators (BCACs) ............ 159
HP_BP -Blood pressure check in last 2 years, know results .............................................. 195
HP_BRST -Women age 40 and over, breast exam in last 12 months .................................... 196
HP_CHOL -Cholesterol screening in last 5 years .................................................................... 196
HP_FLU -Age 65 and older, flu shot in last 12 months ......................................................... 195
HP_GP -General physical exam in last 12 months ............................................................. 196
HP_MAM50 -Women age 50 and over, mammography in past 2 years .................................... 194
HP_MAMOG -Women age 40 and over, mammography in past 2 years .................................... 194
HP_PAP -All women, Pap smear in last 3 years ................................................................... 195
HP_PRNTL -Pregnant in last year, received care in 1st trimester ............................................. 194
HP_PROS -Men age 50 or over, prostrate exam in last 12 months......................................... 195
HP_SMOKE -Advised to quit smoking in last 12 months ............................................................ 196
KBGPRB1 -Big problem getting referrals to specialist ............................................................. 191
KBGPRB2 -Big problem getting necessary care ...................................................................... 192
KBRSTCR -Women age 40 and over, ever had mammogram and breast exam .................... 194
KCIVINS -Beneficiary covered by civilian insurance.............................................................. 193
KCIVOFFC -Office wait of 15 min or more at Civilian facility .................................................... 191
KCIVOPQY -Outpatient visits to Civilian facility ......................................................................... 192
KCOST_2 -Out-of-pocket costs more than $500 .................................................................... 193
KDISENRL -Intention to disenroll .............................................................................................. 191
KENRINTN -Intention to enroll ................................................................................................... 190
KEYCOUNT -Number of Key Questions Answered .................................................................... 121
KMEDIGAP -Beneficiary covered by Medigap ........................................................................... 193
KMILOFFC -Office wait of 15 min or more at Military facility ..................................................... 191
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2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
KMILOPQY -Outpatient visits to Military facility ......................................................................... 192
KPRSCPTN -7 or more civilian prescriptions filled by military pharmacy ................................... 193
LEGDDSCD -DDS Code ............................................................................................................. 117
MBRRELCD -Member Relationship Code................................................................................... 119
MEDTYPE -Medicare Type ...................................................................................................... 120
MISS_1 -Count of: Violates Skip Pattern ............................................................................. 183
MISS_4 -Count of: Incomplete grid error ............................................................................. 183
MISS_5 -Count of: Scalable response of Don't know .......................................................... 183
MISS_6 -Count of: Not applicable - valid skip ...................................................................... 184
MISS_7 -Count of: Out-of-range error ................................................................................. 184
MISS_8 -Count of: Multiple response error .......................................................................... 185
MISS_9 -Count of: No response - invalid skip ..................................................................... 186
MISS_TOT -Total number of missing responses ...................................................................... 187
MPCSMPL -Military Personnel Category .................................................................................. 114
MPRID -Unique MPR Identifier ........................................................................................... 93
MRTLSTAT -Marital Status ........................................................................................................ 116
N1 -Coding Scheme Note 1 ......................................................................................... 174
N2 -Coding Scheme Note 2 ......................................................................................... 174
N3 -Coding Scheme Note 3 ......................................................................................... 174
N4 -Coding Scheme Note 4 ......................................................................................... 175
N5 -Coding Scheme Note 5 ......................................................................................... 175
N6 -Coding Scheme Note 6 ......................................................................................... 175
N7 -Coding Scheme Note 7 ......................................................................................... 176
N8 -Coding Scheme Note 8 ......................................................................................... 176
N9 -Coding Scheme Note 9 ......................................................................................... 176
N10 -Coding Scheme Note 10 ....................................................................................... 177
N11 -Coding Scheme Note 11 ....................................................................................... 177
N12 -Coding Scheme Note 12 ....................................................................................... 177
N13 -Coding Scheme Note 13 ....................................................................................... 178
N14 -Coding Scheme Note 14 ....................................................................................... 178
N15 -Coding Scheme Note 15 ....................................................................................... 178
N16 -Coding Scheme Note 16 ....................................................................................... 179
N17 -Coding Scheme Note 17 ....................................................................................... 179
N18A -Coding Scheme Note 18A..................................................................................... 180
N18B -Coding Scheme Note 18B..................................................................................... 180
N18C -Coding Scheme Note 18C .................................................................................... 180
N19 -Coding Scheme Note 19 ....................................................................................... 181
N20 -Coding Scheme Note 20 ....................................................................................... 181
N22 -Coding Scheme Note 22 ....................................................................................... 181
N23 -Coding Scheme Note 23 ....................................................................................... 182
N24 -Coding Scheme Note 24 ....................................................................................... 182
N25 -Coding Scheme Note 25 ....................................................................................... 182
N26 -Coding Scheme Note 26 ....................................................................................... 182
N27 -Coding Scheme Note 27 ....................................................................................... 183
NHFF -Stratum Sample Size ............................................................................................ 114
OUTCATCH -Out of Catchment Area Indicator .......................................................................... 190
PATCAT -Aggregated Beneficiary Category ......................................................................... 120
PCM -Primary Manager Code (Civilian or Military).......................................................... 117
PNARSNCD -Person Association Reason Code ........................................................................ 120
PNLCATCD -Personnel Category Code (Duty Status) ............................................................... 121
PNSEXCD -Person Gender ...................................................................................................... 116
POSTSTR -Post Stratification Cell ........................................................................................... 207
RACEETHN -Race/Ethnic Code ................................................................................................. 116
S00A01A -Hrdning of the arteries, arteriosclrsis .................................................................... 161
S00A01B -Hypertension ......................................................................................................... 161
S00A01C -A myocardial infarction or heart attack .................................................................. 161
S00A01D -Angina pectoris or coronary heart dis ................................................................... 161
S00A01E -Other heart conditions ........................................................................................... 162
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S00A01F -Stroke,brain hmrrhge, crbrovasclr accdnt ............................................................. 162
S00A01G -Skin cancer ........................................................................................................... 162
S00A01H -Any other kind of cancer ....................................................................................... 162
S00A01I -Diabetes, high blood sugar,sgr in urine................................................................. 163
S00A01J -Rheumatoid arthritis .............................................................................................. 163
S00A01K -Arthritis other than rheumatoid .............................................................................. 163
S00A01L -Osteoperosis ......................................................................................................... 163
S00A01M -A broken hip .......................................................................................................... 164
S00A01N -Alzheimer's disease or dementia .......................................................................... 164
S00A01O -A mental or psychiatric disorder ............................................................................ 164
S00A01P -Parkinson's disease .............................................................................................. 164
S00A01Q -Emphysema, asthma or COPD............................................................................. 165
S00A01R -Complete or partial paralysis ................................................................................. 165
S00A02 -Used MTFs other thn for prscrption drugs ............................................................ 165
S00A03 -Visits to Drs office,clinic,emrgncy rm .................................................................... 166
S00A04 -# Overnight stays as patient at MTF ..................................................................... 166
S00A05A -Emergency care from an emrgncy room .............................................................. 166
S00A05B -Urgnt care not from an emrgncy room .................................................................. 167
S00A05C -Preventive care ..................................................................................................... 167
S00A05D -Routine care .......................................................................................................... 167
S00A05E -Hsptl care in whch you stayed overnight ............................................................... 167
S00A05F -Labs and x-rays ..................................................................................................... 168
S00A05G -Surgry or diagnostics w/no ovrnight stay............................................................... 168
S00A05H -Care from a specialist ........................................................................................... 168
S00A06 -Are you covered by Medicare Part B now ............................................................. 168
S00A07 -Will you begin paying Part B premium .................................................................. 169
S00A08 -Are you enrlled in TRICARE Senior Prime ............................................................ 169
S00A09 -Disenrl frm TRICARE SP after 10/1/2001 ............................................................. 169
S00A10 -Chnge use of MTFs for space-available cr ........................................................... 170
S00A11A -Will use MTF:Emrgncy care frm emrgncy rm ....................................................... 170
S00A11B -Will use MTF:Prescription Drugs .......................................................................... 170
S00A11C -Will use MTF:Urgnt cre nt frm emrgncy rm ........................................................... 171
S00A11D -Will use MTF:Preventive care ............................................................................... 171
S00A11E -Will use MTF:Routine care.................................................................................... 171
S00A11F -Will use MTF:Hospital care, ovrnght stay ............................................................. 171
S00A11G -Will use MTF:Labs and x-rays .............................................................................. 172
S00A11H -Will use MTF:Surgery, w/no ovrnight stay............................................................. 172
S00A11I -Will use MTF:Care from a specialist ..................................................................... 172
S00A11J -I won't use MTF for space available care.............................................................. 172
S00A12 -Would you enroll in TRICARE Prime .................................................................... 173
S00A13 -Enrl in TCP if you cldn't use mil. Dr ....................................................................... 173
S00M01 -In lst yr:need treatment or counseling ................................................................... 160
S00M02 -In lst yr:prblm to get treatment .............................................................................. 160
S00M03 -Rating of treatment or counseling ......................................................................... 160
SERVAFF -Service Affiliation................................................................................................... 115
SERVAREA -Service Area.......................................................................................................... 115
SEXSMPL -Sex Sampling Variable .......................................................................................... 93
SRAGE -What is your age now?.......................................................................................... 155
SREDA -Highest grade completed ...................................................................................... 153
SRRACEA -Race: White .......................................................................................................... 154
SRRACEB -Race: Black or African American .......................................................................... 154
SRRACEC -Race: American Indian or Alaska Native .............................................................. 154
SRRACED -Race: Asian ........................................................................................................... 155
SRRACEE -Race: Native Hawaiian/other Pacific Islanders ..................................................... 155
STRATUM -Sampling STRATUM ............................................................................................. 93
STRSMPL -Geographic Stratum .............................................................................................. 111
SUBDEMO -Subvention Area for Over 65................................................................................. 114
SVCSMPL -Branch of Service Sampling Variable.................................................................... 93
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TSPSITE -TSP Site (regardless of age) ................................................................................. 118
WRWT -Final Weight .......................................................................................................... 211
WRWT1 -Replicated/JackKnife Weight 1 ............................................................................. 212
WRWT2 -Replicated/JackKnife Weight 2 ............................................................................. 212
WRWT3 -Replicated/JackKnife Weight 3 ............................................................................. 212
WRWT4 -Replicated/JackKnife Weight 4 ............................................................................. 213
WRWT5 -Replicated/JackKnife Weight 5 ............................................................................. 213
WRWT6 -Replicated/JackKnife Weight 6 ............................................................................. 213
WRWT7 -Replicated/JackKnife Weight 7 ............................................................................. 214
WRWT8 -Replicated/JackKnife Weight 8 ............................................................................. 214
WRWT9 -Replicated/JackKnife Weight 9 ............................................................................. 214
WRWT10 -Replicated/JackKnife Weight 10 ........................................................................... 215
WRWT11 -Replicated/JackKnife Weight 11 ........................................................................... 215
WRWT12 -Replicated/JackKnife Weight 12 ........................................................................... 215
WRWT13 -Replicated/JackKnife Weight 13 ........................................................................... 216
WRWT14 -Replicated/JackKnife Weight 14 ........................................................................... 216
WRWT15 -Replicated/JackKnife Weight 15 ........................................................................... 216
WRWT16 -Replicated/JackKnife Weight 16 ........................................................................... 217
WRWT17 -Replicated/JackKnife Weight 17 ........................................................................... 217
WRWT18 -Replicated/JackKnife Weight 18 ........................................................................... 217
WRWT19 -Replicated/JackKnife Weight 19 ........................................................................... 218
WRWT20 -Replicated/JackKnife Weight 20 ........................................................................... 218
WRWT21 -Replicated/JackKnife Weight 21 ........................................................................... 218
WRWT22 -Replicated/JackKnife Weight 22 ........................................................................... 219
WRWT23 -Replicated/JackKnife Weight 23 ........................................................................... 219
WRWT24 -Replicated/JackKnife Weight 24 ........................................................................... 219
WRWT25 -Replicated/JackKnife Weight 25 ........................................................................... 220
WRWT26 -Replicated/JackKnife Weight 26 ........................................................................... 220
WRWT27 -Replicated/JackKnife Weight 27 ........................................................................... 220
WRWT28 -Replicated/JackKnife Weight 28 ........................................................................... 221
WRWT29 -Replicated/JackKnife Weight 29 ........................................................................... 221
WRWT30 -Replicated/JackKnife Weight 30 ........................................................................... 221
WRWT31 -Replicated/JackKnife Weight 31 ........................................................................... 222
WRWT32 -Replicated/JackKnife Weight 32 ........................................................................... 222
WRWT33 -Replicated/JackKnife Weight 33 ........................................................................... 222
WRWT34 -Replicated/JackKnife Weight 34 ........................................................................... 223
WRWT35 -Replicated/JackKnife Weight 35 ........................................................................... 223
WRWT36 -Replicated/JackKnife Weight 36 ........................................................................... 223
WRWT37 -Replicated/JackKnife Weight 37 ........................................................................... 224
WRWT38 -Replicated/JackKnife Weight 38 ........................................................................... 224
WRWT39 -Replicated/JackKnife Weight 39 ........................................................................... 224
WRWT40 -Replicated/JackKnife Weight 40 ........................................................................... 225
WRWT41 -Replicated/JackKnife Weight 41 ........................................................................... 225
WRWT42 -Replicated/JackKnife Weight 42 ........................................................................... 225
WRWT43 -Replicated/JackKnife Weight 43 ........................................................................... 226
WRWT44 -Replicated/JackKnife Weight 44 ........................................................................... 226
WRWT45 -Replicated/JackKnife Weight 45 ........................................................................... 226
WRWT46 -Replicated/JackKnife Weight 46 ........................................................................... 227
WRWT47 -Replicated/JackKnife Weight 47 ........................................................................... 227
WRWT48 -Replicated/JackKnife Weight 48 ........................................................................... 227
WRWT49 -Replicated/JackKnife Weight 49 ........................................................................... 228
WRWT50 -Replicated/JackKnife Weight 50 ........................................................................... 228
WRWT51 -Replicated/JackKnife Weight 51 ........................................................................... 228
WRWT52 -Replicated/JackKnife Weight 52 ........................................................................... 229
WRWT53 -Replicated/JackKnife Weight 53 ........................................................................... 229
WRWT54 -Replicated/JackKnife Weight 54 ........................................................................... 229
WRWT55 -Replicated/JackKnife Weight 55 ........................................................................... 230
WRWT56 -Replicated/JackKnife Weight 56 ........................................................................... 230
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WRWT57 -Replicated/JackKnife Weight 57 ........................................................................... 230
WRWT58 -Replicated/JackKnife Weight 58 ........................................................................... 231
WRWT59 -Replicated/JackKnife Weight 59 ........................................................................... 231
WRWT60 -Replicated/JackKnife Weight 60 ........................................................................... 231
XBNFGRP -Constructed Beneficiary Group ............................................................................. 190
XENR_PCM -Enrollment by PCM type........................................................................................ 188
XENRLLMT -Enrollment in TRICARE Prime .............................................................................. 188
XINS_COV -Insurance Coverage .............................................................................................. 188
XQENROLL -Enrollment according to questionnaire response .................................................. 189
XREGION -Region ................................................................................................................... 189
XSEXA -Male or Female (Recode) ..................................................................................... 190
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PAGE IS INTENTIONALLY LEFT BLANK TO ALLOW FOR DOUBLE-SIDED COPYING
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2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
Chapter
1
Introduction
This Codebook and Users‟ Guide provides programmers and analysts with a tool to assist them in
creating their own cross-tabulations and basic statistical estimates using the 2000 Adult Health Care
Survey of DoD Beneficiaries (HCSDB). It is intended for users wanting to create tables and to perform
analyses other than those in the reports associated with this project.
Any user who wishes to recreate specific tables or charts from the analytic report should also refer to
“The 2000 Health Care Survey of DoD Beneficiaries: Adult Technical Manual (expected publication
date – February 2002).” That document outlines the procedures required to reproduce the TRICARE
Consumer Reports and charts for the National Executive Summary Report using HCSDB data.
This chapter explains how to use this guide, reviews the survey, briefly describes the sample design,
and concludes with a list of other documents on the HCSDB data that may be useful for policymakers,
administrators, or other users.
How to Use This Guide
Chapter 2 describes the database conventions and types of variables in the database. This chapter
explains the relationship of the raw survey data to the cleaned and constructed variables preferred for
data analyses.
Chapter 3 provides table-making instructions in both SAS and SPSS, presenting the basic computer
programming code needed to tabulate the data in SAS and the interactive steps for generating tables in
SPSS. Either package may be used. While we assume that most users have some knowledge of
computer systems and statistical processing, examples of how to create tables and the resulting output
are given to simplify the process of tabulating the data. Because of the complex sample design, users
interested in measuring the precision of their results will need to use a statistical package capable of
TM ®
calculating standard errors for survey estimates, such as SUDAAN or WesVar PC . Sample
programming code is included to estimate standard errors using methods that are appropriate for the
complex sample design.
Chapter 4 is the codebook describing each variable in the database, including a list of all possible
values of the variable, weighted and unweighted frequency counts and percent occurrences for each
value, and the values‟ interpretation or formatting. The codebook helps users assess the availability of
certain measures, specify variables of interest, and identify all possible values of a variable. The
variables are listed in the order of their position on the data file, where they are grouped according to
source as follows:
Sampling variables used to place beneficiaries in appropriate strata
Information from the Defense Enrollment Eligibility Reporting System (DEERS) at the time of
sampling
Questionnaire responses: cleaned and recoded
Variables created during the fielding of the survey
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2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
Coding Scheme flags and missing value counts
Constructed variables for analysis
We also provide an alphabetical quick-reference list to help the user locate each variable after the table
of contents.
Users who wish to know more about the technical aspects of the database creation, construction of
new variables, or MPR‟s report production procedures should refer to “The 2000 Health Care Survey of
DoD Beneficiaries: Adult Technical Manual,” available from the TRICARE Management Activity Office.
What is the HCSDB?
The HCSDB is a health care survey of active duty military personnel, retirees, and their adult family
members. It is fielded to a representative sample of beneficiaries. Results from each quarter will be
presented as a web-based report. A child survey is fielded in the third quarter. The survey is sponsored
by the Assistant Secretary of Defense (Health Affairs) [OASD (HA)], under authority of the National
Defense Authorization Act for Fiscal Year 1993 (P.L. 102-484). The adult survey is intended to assess
beneficiaries‟ satisfaction with and access to health care, knowledge of the TRICARE system, and use
of preventive and other health care services.
Until this year, the HCSDB was fielded at yearly intervals. The 2000 HCSDB is fielded in each quarter
of 2001, and consists of an unchanging core questionnaire, with different supplements. Results from
each quarter will be presented in a web-based report. A child survey is fielded in the third quarter.
The annotated questionnaire appears as Appendix A. A crosswalk between the 2000 questions and
the questions from the 1994-1995, 1996, 1997, 1998, and 1999 surveys appear as Appendix B.
The HCSDB covers the following topics:
Health Plan. This section collects data on TRICARE Prime enrollment and the use of
supplemental insurance and/or other private insurance.
Your Personal Doctor or Nurse. In this section, respondents are asked about their relationship
with their personal doctor or nurse. They are asked to rate their personal doctor or nurse on a
scale from 0 to 10 where 0 is the worst and 10 is the best.
Getting Health Care from a Specialist. This section collects information about respondents‟
need for and access to care from specialists. Respondents rate the specialist that they see most
frequently on a scale from 0 to 10 where 0 is the worst and 10 is the best.
Calling Doctors‟ Offices. Questions in this section ask beneficiaries whether they were able to
access care and obtain information by telephone from their doctor‟s office or clinic.
Your Health Care in the Last 12 Months. This section collects information on where DoD
beneficiaries received most of their care in the past 12 months. These are questions on both
military and civilian care. This section also contains questions about general and specific aspects
of care at the facility respondents used the most; these questions cover topics such as availability
of providers and their staff, convenience, and courtesy and respect shown by providers and their
staff. These questions are similar in content and format to questions in the Consumer Assessment
of Health Plans Survey (CAHPS). CAHPS is a survey program sponsored by the Agency for
Health Care Research and Quality (AHRQ) U.S. Department of Health and Human Service, and
the Picker Institute. The program is designed to monitor the satisfaction and access of civilian
health care plan beneficiaries.
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Your Health Plan. This section is designed to measure satisfaction with one‟s primary health plan.
Respondents are asked to rate their health plan on a scale of 0 to 10 where 0 is the worst and 10
is the best. TRICARE Prime enrollees are asked about their satisfaction with Prime and about the
possibility of disenrolling. Those not currently enrolled in Prime are asked if they intend to enroll in
the next 12 months. All respondents are asked about out-of-pocket expenses for medical care and
health insurance coverage. Additionally, respondents are asked questions on problems with claims
processing, finding and understanding written materials, customer service, processing paperwork,
and resolving complaints.
Your Preventive Health Care. This section collects information on the use of preventive health
care services, including routine physical examination, blood pressure readings, cholesterol
screening, and flu shots. All women are asked about Pap smears; women that are or have been
pregnant within the past 12 months are questioned about prenatal care. Women age 40 and over
are asked about mammography and breast examination by a health care professional. Men are
asked about prostate examinations. All respondents are asked whether they smoke. Smokers are
asked whether they have received smoking cessation counseling from a health care professional.
Quarter II Supplements
Behavioral Health. Questions in this supplement ask beneficiaries if they had problems getting
treatment or counseling for behavioral health problems, and to rate treatment or counseling they
received.
Beneficiaries Eligible for Medicare. Questions is this supplement ask beneficiaries age 65 and
over about their current medical conditions, health insurance coverage and use of MTFs.
Additional questions ask about how beneficiaries plan to change coverage and MTF use in
response to new benefits available through the National Defense Authorization Act of 2000.
Sample Design Overview
The sample of beneficiaries for the HCSDB was drawn from an extract file of the DEERS database of
military health system (MHS) beneficiaries with a reference date of September 30, 2000. The DEERS
extract file includes all eligible MHS beneficiaries as follows:
Everyone in the Uniformed Services and on active duty (Army, Air Force, Navy, Marine Corps,
Coast Guard, the Commissioned Corps of the Public Health Service, National Oceanic and
Atmospheric Administration, Guard/Reserve personnel who are activated for a period in excess of
30 days, and other special categories of people who qualify for benefits)
Those who retired from military careers
Immediate family members of people in the previous two categories
Surviving family members.
A stratified probability sample design was used to select DoD health care beneficiaries for the Quarter II
2000 Adult HCSDB. Strata were defined by a combination of enrollment status groups, and beneficiary
groups, and geographic areas. Specific information on the sample design appears in, “The 2000 Health
Care Survey of DoD Beneficiaries: Adult Sample Design”, Mathematica Policy Research, Washington,
D.C.
From a sample of 45,000 beneficiaries, 14,629 adult MHS beneficiaries completed and returned a
2000 Adult HCSDB questionnaire for the second quarter during the period, yielding a response rate of
33%. Information on developing response rates can be found in “The 2000 Health Care Survey of DoD
Beneficiaries: Adult Technical Manual”.
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Other Documents on the 2000 HCSDB
This document is intended for programmers and analysts using the 2000 Adult HCSDB data. Following
is a list of other documents that may be requested from the TRICARE Management Activity Office:
The 2000 Health Care Survey of DoD Beneficiaries: Quarter II Adult Sample Design
The 2000 Health Care Survey of DoD Beneficiaries: Adult Technical Manual (available February
2002)
The 2000 Health Care Survey of DoD Beneficiaries: National Executive Summary Report
(available February 2002)
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Chapter
2
Description of the Adult HCSDB Database
This chapter presents the procedures for developing the database, and presents the database file
layout.
Variable Naming Conventions
The conventions used to name variables on the 2000 Adult HCSDB data file are listed below and
summarized in Table 2.1. The naming conventions remain constant across the four quarters of
the 2000 HCSDB.
Survey Variables. Core survey variable names consist of up to eight alphanumeric characters
that start with an alpha character ("H" for Adult survey variables), followed by a year designation
("00") and ending with three numbers and, if necessary, one alpha character to identify the relevant
survey question. For example, the variable representing the first question of the Quarter II survey is
given the name H00001. Recoded variables have the same names as on the survey. The original
variables are suffixed with “_O”; these will not be on the public release file.
Supplemental Question Variables. Each quarter, the questionnaire will include a battery of
questions on specific health care topics concerning services offered to MHS beneficiaries. In the
first quarter, the survey contained questions to assess chronic conditions in the MHS population.
Like the core questions, supplemental questions also include eight alphanumeric characters; each
variable begins with an “S” to distinguish it as a supplemental question, followed by the year
designation (“00”). The variable ends with an alpha character and the question number in the
supplemental series. For example, the variable for the first supplemental question would be
S00C01. In Quarter II, the supplemental question variables end with “M” or “A”. Supplemental
question variables labeled with “M”, for example S00M01, ask about access to and quality of
mental health services. Supplemental variables containing “A”, such as S00A01, are questions
about current and planned MTF use by beneficiaries age 65 and older.
Self-Reported Data. Defense Manpower Data Center (DMDC) standard demographic self-
reporting variables on the adult survey are prefixed with “SR.” Survey variables with this naming
convention include SRRACE (race/ethnicity) and SREDA (education).
Coding Scheme Flags and Counts. Coding Scheme flags, variables N1-27, reference the notes
in the Coding Scheme for Adult Survey. N2, for example, is set when checking the values of
H00006 and H00007. See the Coding Scheme in Appendix C for more information. Coding
Scheme counts are sums of missing value responses for each questionnaire; each of these
variable names begins with the 4 characters “MISS”.
Constructed Independent Variables. Independent variables are prefixed with an "X." These
include original survey variables modified as a result of data cleaning or recoding and newly
constructed variables that did not previously exist on the survey file. For example, since the
variable SRSEX was modified as a result of data cleaning and recoding, it was renamed XSEXA.
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Constructed Dependent Variables. Dependent variables are given different prefixes depending
on function. Healthy People 2000 variables, for example, are prefixed with an "HP,” and all other
newly constructed dependent variables are prefixed with a "K."
Weighting Variables. Weighting variables are prefixed with a "W."
TABLE 2.1
NAMING CONVENTIONS FOR 2000 HCSDB VARIABLES – QUARTER II
(Variables Representing Survey Questions)
st nd rd th th
1 Character: 2 – 3 Characters: 4 – 6 Characters: Additional Characters:
Survey Type Survey Year Question # Additional Information
H= Health 00 001 to 085 A to J are used to label
Beneficiaries (18 and responses associated
older, Adult with a multiple response
Questionnaire) question
_O denotes an original
version of a recoded
variable
---------------------------------- ---------------------------------- --------------------------------
S = Supplemental M01-M03 – supplemental
Question questions on mental
health services; A01-A13
– supplemental questions
on current use and
planned use of MTFs by
beneficiaries age 65 and
over.
(Constructed Variables)
st
1 Characters: Additional Characters:
Variable Group Additional Information
SR=Self-reported demographic data Descriptive text, e.g., SREDA
N=Coding scheme notes Number referring to Note, e.g., N2
X=Constructed independent variable Descriptive text, e.g., XREGION
HP=Constructed Healthy People Descriptive text, e.g., HP_BP (had blood pressure
2000 variable screening in past two years and know the results)
K=Constructed dependent variables Descriptive text, e.g., KMILOPQY (total number of
outpatient visits to military facility)
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Cleaning and Editing Conventions
Data quality procedures are found in the Coding Scheme tables. The complete Coding Scheme
appears in Appendix C. It contains detailed instructions for all editing procedures used to correct data
inconsistencies and errors. Editing procedures check for appropriate response values and consistent
responses throughout the questionnaire. The steps to insure data quality include the following:
Initial Cleaning. Missing value flags were encoded when NRC created the SAS dataset:
- Skipped items were encoded with SAS missing value code of „.‟.
- Multiple responses, where there should be a single response, were encoded
with SAS missing value „.A‟.
- Incomplete grid responses were encoded as SAS missing value „.I‟ with two
exceptions: 1) If there was a response in the right column(s) and none in the
left column(s), the missing grids were zero-filled; 2) if there was a response in
the left column(s) and none in the right column(s), the field was right-adjusted
and then zero-filled.
Data Cleaning and Recoding of Variables – Implementation of the Coding Scheme. Skip
patterns were checked for consistency, and questions that were skipped legitimately were recoded
with the SAS missing value of “.N”; questions that were answered, but should have been skipped,
were recoded with a SAS missing value of “.C”. When possible, variables were backward coded or
forward coded to make all responses consistent within a sequence. Numeric values were
checked, and values that were out of range were flagged with the SAS missing value of “.O”.
Frequency Checks. Formatted and unformatted frequency tables for all variables in the 2000
Adult HCSDB Quarter II data file appear in Chapter 4 of this document. These frequency tables
and other relevant cross tabulations were used to examine the range of values recorded for each
data item to determine the type and magnitude of missing values. All value labels have been
checked for accuracy.
Record Selection Criteria
Blank returns, nonrespondents, and any respondents found to be ineligible for MHS benefits were
removed from the database. In addition, among eligible respondents with a non-blank questionnaire, a
questionnaire must be “complete” to be included in the database.
To determine if a questionnaire is “complete”, 29 key questions were chosen. For Quarter II, they were
5, 6, 7, 8, 9, 10, 12, 14, 15, 17, 18, 19, 22, 23, 25, 26, 27, 29, 36, 44, 49, 51, 56, 58, 80, 81, 82, 83, and
84. These key questions were adapted from the complete questionnaire rule developed by AHRQ for
CAHPS surveys. At least 50 percent of these key items (fifteen or more) must be answered for a
questionnaire to be accepted as a complete questionnaire.
We retained 14,629 eligible respondents.
Weighting Procedures
The analysis of survey data from complex sample designs, such as the 2000 Adult HCSDB, requires
weights to do the following:
Compensate for variable probabilities of selection
Adjust for differential response rates
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Improve the precision of the survey-based estimates through post-stratification [for details, see
Brick and Kalton (1996) and references cited therein]
Sampling weights are equivalent to the reciprocal of the probability of each respondent‟s selection into
the sample. Sampling weights are further adjusted for nonresponse within classes defined by sampling
strata: a cross-classification of enrollment status, geographic area, and beneficiary group. These
nonresponse-adjusted weights are then ratio-adjusted to population counts from the DEERS files to
compensate for variations from the estimated population counts. To properly weigh the data, an analyst
should use the final weight WRWT. Chapter 4 contains weighted and unweighted frequencies for each
variable included in this data set.
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Chapter
3
Programming Guide
This chapter is designed to help users create tables and variance estimates. Procedures for using
SAS, SPSS, SUDAAN, and WesVarPC to create estimates are explained. Examples provided in the
text are based on the first quarter of data from the 2000 HCSDB.
How To Make a Table Using SAS
The 2000 Adult HCSDB dataset is provided in a Statistical Analysis System (SAS) 6.0 format. SAS is a
computer software system used for data management, summarization, and analysis. Later versions of
SAS can also read version 6 datasets. A format library for the adult database is included along with the
dataset. SAS can be run interactively or non-interactively (in batch mode), and the sample programs
presented here can be run using either method. Special instructions are given later in the chapter for
working interactively with the SAS Display Manager System in a Windows environment. All SAS
programs generate a LOG and a LST file. The LOG file shows how SAS interprets your program and
flags SAS syntax errors. The LST file shows the requested output.
File References, Libraries, and Options
SAS recognizes two types of datasets -- permanent and temporary. Permanent datasets, such as the
HCSDB, are located through a LIBNAME that references the directory where the data is stored. For
example, if the adult dataset for Quarter II is located on a CD-ROM in the subdirectory
HCSDB00\FORMA\Q2, your LIBNAME statement must look like this:
LIBNAME INFORMA 'F:\HCSDB00\FORMA\Q2‟;
The adult dataset can then be referred to as INFORMA.HCSDB00, where INFORMA is the location of
the file HCSDB00.
A format library requires a LIBNAME LIBRARY statement that shows the location of the format library.
For example, if the adult format library is stored on your hard drive in a FMTLIB subdirectory, the
LIBNAME statement should look like this:
LIBNAME LIBRARY 'C:\HCSDB00\FORMA\Q2\FMTLIB';
The OPTIONS statement controls page format and line length. A table with a “portrait” orientation might
have this statement:
OPTIONS PS=79 LS=132;
A table with a “landscape” orientation that is left justified would have this OPTIONS statement:
OPTIONS PS=50 LS=175 NOCENTER;
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DATA Step
The DATA step is used to create permanent or temporary datasets. It is also used to create new
variables, modify existing variables, and limit the number of variables or observations. In a DATA step,
you can do any or all of the following activities:
Construct new variables. For example, to construct a variable of active duty by sex:
/* Active duty males */
IF XSEXA = 1 AND XBNFGRP = 1 THEN XSEX_AD = 1;
* Active duty females;
ELSE IF XSEXA = 2 and XBNFGRP = 1 THEN XSEX_AD = 2;
ELSE XSEX_AD = .; /* missing value */
[Note: the two methods to insert comments: enclosed within /* */ or beginning with * and ending
with a semicolon]
Modify existing variables. For example, if the respondent is in region 7, the respondent will be
placed in the combined region 7/8:
IF XREGION = 7 THEN XREGION = 8
Limit the number of variables. Use a KEEP statement:
KEEP XREGION CACSMPL H00056 H00077;
Limit the number of observations. Use a subsetting IF:
/* Keep only region 3 observations */
IF XREGION = 3;
Create a new temporary dataset. For example, CAC_1 is a temporary file of observations for only
those respondents in catchment area 1:
LIBNAME INFORMA 'F:\HCSDB00\FORMA';
DATA CAC_1;
/* Input file is HCSDB00 */
SET INFORMA.HCSDB00;
IF CACSMPL = 1;
RUN;
Create a new permanent dataset. For example, OUT.CAC_9901 is a permanent dataset only of
Region 1 out-of-catchment respondents:
LIBNAME INFORMA 'F:\HCSDB00\FORMA';
LIBNAME OUT 'C:\HCSDB00\FORMA';
DATA OUT.CAC_9901;
SET INFORMA.HCSDB00;
IF CACSMPL = 9901;
RUN;
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PROC TABULATE
PROC TABULATE produces summary statistics in a table layout. The table can have up to three
dimensions: page, row, and column. Within any dimension, multiple variables can be reported one
after another or hierarchically. Useful statistics that are available in PROC TABULATE include:
N number of observations with nonmissing values
NMISS number of observations with missing values
MEAN the arithmetic mean
SUM the sum
PCTN percent that one frequency represents of another frequency
PCTSUM percent that one sum represents of another sum
The essential elements to execute PROC TABULATE are outlined below (items within are not
required):
PROC TABULATE DATA=your dataset ;
CLASS class variables;
VAR analysis variables;
TABLE row expression, > column expression ;
WEIGHT WRWT;
RUN;
If the input file is to be limited to a specific population, a separate DATA step can precede the
TABULATE, or a WHERE statement can be used within the TABULATE procedure. For example, to
create a table from only respondents in catchment area 1, you would use the following statement after
the PROC TABULATE statement:
WHERE CACSMPL = 1;
CLASS variables are any variables that are used for grouping; variables such as XREGION, XSEXA,
and CACSMPL are good examples of class variables. Class variables can be either character or
numeric and typically have a discrete number of values. Unless MISSING is specified in the options list
in the PROC TABULATE state, any observations with a missing CLASS variable will be dropped from
the table.
The VAR statement identifies all analysis variables for a table. Analysis variables must be numeric and
can be either discrete or continuous. SAS excludes missing values when computing statistics such as
means and percentages.
The WEIGHT statement identifies the numeric variable whose value is used for weighting each
analysis variable. In the HCSDB for 2000, the weight variable is WRWT.
The TABLE statement defines the table features. Every variable listed in this statement must be
classified as either a class variable or an analysis variable in the CLASS or VAR statements. A
comma separates each table dimension (page, row, and column). If there are three dimensions,
the first is the page, the second is the row, and the last is the column. If there are only two
dimensions, the first is the row and the second is the column. Tables with only one dimension
are in column form. Each dimension expression is composed of the same following elements:
Analysis variables
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Class variables
The universal class variable ALL, which summarizes the class variables in the same group or
dimension
Keyword for the statistic to be performed, such as MEAN, SUM, or PCTSUM
A format modifier, which defines how to format values in cells. For example, F=8.2 will present
values with a maximum of 8 positions and 2 digits to the right of the decimal.
Labels, which temporarily replace variable names and statistic keywords. These labels have the
form ='label'; for example, XREGION='Region' or MEAN=' ' (to eliminate the word MEAN from the
headings).
Crossing operator * (asterisk). The asterisk is used to cross elements within the same dimension.
For example, you would use XENRLLMT*XSEXA to cross enrollment status by sex. The asterisk
is also used to connect the statistic (e.g., MEAN, SUM) to the appropriate dimension; for example,
to calculate the mean of respondents‟ satisfaction with all health care in the last 12 months, you
would use H00037 *MEAN.
Denominator definitions are enclosed by (brackets).
Concatenation operator is a single space between elements in a dimension. For example, to
concatenate satisfaction with all health care in the last 12 months with satisfaction with health plan,
you would use H00037 H00056.
Grouping is accomplished with parentheses. Below is an example of grouping, concatenation, and
crossing within a single dimension:
(XBNFGRP ALL)*XSEXA
The SAS Display Manager System
The SAS Display Manager system provides an interactive tool for running SAS commands, like those
given above, in the Windows environment. Double clicking the SAS icon on the desktop begins the
SAS session. When you first enter the system, the following screen opens.
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The screen is divided into three windows, each corresponding to an aspect of your SAS session. The
Program Editor is the window where you compose, edit, and run your SAS commands. The Log
window displays messages from the SAS system as well as your SAS statements as they are
executed. Any error messages appear in the Log. The Output window displays the output tables
requested in procedure commands written in the Program Editor. Toggling among the windows is
accomplished by clicking anywhere in a given window. The cursor will jump to the selected window.
Below are some options for customizing these screens by defining Preferences.
Clicking on Options results in the following screen.
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Click on Preferences as highlighted above, and the following screen will open.
Many of these settings are system default options. To add a command line to the three windows, you
would click in the box opposite Command Line, causing a check mark to appear in the box. Your
screen should resemble the screen above. Click on Save and the screen will change to the following.
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Each window shows the word Command followed by an arrow. Commands may be typed at this
location. To arrive at the command line, depress the Home button on your keyboard. The cursor will
appear opposite the arrow.
Toggling among the windows may be accomplished by typing the desired window name at the
command line and pressing Enter. SAS recognizes Pgm as the abbreviated reference to the Program
Editor and Out as a shortened name for the Output window. A few keystrokes allows you to navigate
among the windows. For example, the command line lets you continue to customize our SAS session
as follows.
In order to more easily distinguish between the SAS windows, it may be preferable to change the
background color of selected windows. As an example, set the background color of the Log window to
pink and the Output window to gray. Press the Home key to arrive at the command line. Type Log
opposite the arrow to toggle to the Log window. Type the command, color back pink (or some other
color) on the command line. Your screen will resemble the following.
Press Enter to process the commands and the window will shade to pink. Toggle to the Output window
by typing Out and keying Enter. Type color back gray and key Enter. These changes make it easier
to distinguish between the windows at a glance. The screen looks like the following.
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All SAS statements for building and processing SAS datasets are typed into the Program editor. A SAS
session may involve typing statements like the ones above for library reference, computing new
variables, data steps, etc. Entering a long series of statements in such a small space may be awkward,
so another arrangement for the windows may be preferable.
Cascading the windows is one option. To cascade the windows, open the Window menu, and choose
Cascade as indicated in the following.
The following option also uses color to distinguish between windows.
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Clicking the option Cascade produces the following result.
Each window is partly superimposed on the other. The colors distinguish between windows at a glance.
With the Program Editor in front, SAS statements may be typed there with relative ease. As a final
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option, you can enlarge the Program Editor to fill the entire screen. At the command line, type zoom as
in the following:
The window changes to fill the screen.
One more option for customizing screens is explained below. This involves adding line numbers to the
editing environment in the Program Window. After adding the line numbers, many useful line-editing
commands become available (see the SAS Manual). On the Edit menu choose Options and
Numbers as in the following screen.
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The line numbers appear at the left of the full screen Program Editor as in the screen below, and the
SAS statements can be typed into the screen and edited.
Below is an example of a PROC TABULATE to construct a table of health care variables by beneficiary
group by gender for respondents in region 3. Beneficiary group (XBNFGRP) and sex (XSEXA) are both
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class variables with a discrete number of values. The columns of the table are beneficiary group
broken out by sex, a total for each beneficiary group, and a region total. The health care variables
(H00056 and H00077) are the analysis variables appearing as the rows of the table. The statistic that
we want to see is the weighted mean of these variables for each group in the table and for the entire
region as a whole.
Enter the following SAS statements into the Program Editor.
OPTIONS PS=79 LS=95;
LIBNAME IN 'J:\DoD\Q1_2000\DATA\AFINAL';
LIBNAME LIBRARY „J:\DoD\Q1_2000\DATA\AFINAL\FMTLIB‟;
PROC TABULATE DATA=IN.HCS001_1;
WHERE XREGION = 3; /* limit to Region 3 */
CLASS XBNFGRP XSEXA;
VAR H00056 H00077;
WEIGHT WRWT;
TABLE (H00056 H00077)*MEAN, /* Row Dimension */
XBNFGRP*(XSEXA ALL) ALL; /* Column Dimension */
TITLE “Table III-1”;
TITLE2‟ Beneficiary Group by Gender for Region 3';
RUN;
Key Home and type the command SUBMIT on the Command Line. Submit instructs the SAS system
to process the commands written in the Program Editor. Your screen should resemble the following.
Enter the Submit command, and the SAS statements disappear from the Program Editor.
If a table is successfully produced, the Output window will open and the table will be displayed. If no
output is produced, then SAS has encountered an error. SAS statements about the error can be seen
and evaluated in the Log window. In all cases, the Log window should be carefully examined after SAS
statements are processed. SAS may produce a table even if there are errors in the program, so the
table may not be correct.
No table was produced for this run. The error is indicated in the Log Window as shown below.
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The variable WRWT was not found in the dataset. Type Pgm on the Command line to return to the
Program Editor. Type Recall on the Command line and the program statements will reappear in the
window.
You can correct the error by entering the WRWT, the correct variable name, in the weight statement.
Then, rerunning the procedure.
The corrected program produces the following output.
The result of this process is Table III.1.
Note that the TITLE statement defines the heading for each page. Titles of more than one line are
entered as TITLE, TITLE2, etc.
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Using Formats
The format library is the key to interpreting values of discrete variables. For example, in the program
above, the format library found at J:\DoD\Q1_2000\DATA\AFINAL\FMTLIB indicates that a Value of 1
for XSEXA means male, and a value of 2 for XSEXA means female. Similarly, if XBNFGRP equals 1,
the respondent is active duty; if XBNFGRP equals 2, the respondent is a family member of active duty
personnel; if XBNFGRP equals 3, the respondent is an under-65 retiree or a survivor or one of their
family members; if XBNFGRP equals 4, the respondent is a 65-or-over retiree, survivor, or one of their
family members.
Since formats are associated with the variables in the HCSDB, formatting is automatic as long as SAS
can locate the format library. Error messages will result if the LIBNAME LIBRARY statement is not
present. If the format library is not available for some reason, use the statement
FORMAT _ALL_;
within the PROC TABULATE to prevent SAS from searching for the missing format library. The default
formats in the format library were used to produce the table described in the previous section.
Table Appearance
Format modifiers and temporary labels improve the appearance of a table. In Table III.1, the values of
the statistics are of the form x.xx. If each cell is defined to be six positions wide with two positions to the
right of the decimal, there is adequate space plus some extra room to keep the table from looking
crowded. This is done by crossing the statistic with the format modifier:
MEAN*F=6.2
Labels are attached to all variables in the HCSDB. You can use temporary labels to override the label
within the SAS dataset. It is not always necessary to use both the variable label and the formatted
values for each value of a class variable. In the previous example, the formatted values of XBNFGRP
are active duty, family members of active duty, etc. which we know to be beneficiary groups; the title
also tells you that these are beneficiary groups. The table can be made attractive by deleting the
heading for XBNFGRP by including a blank for the temporary label:
XBNFGRP=‟ „
Similarly, because the statistic being reported here is a mean, you do not need MEAN on each row.
You can add or eliminate a label and include a format modifier to the same variable:
MEAN=‟ „*F=6.2
The headings for XSEXA and ALL can be improved:
XSEXA=‟Gender‟
ALL=‟Group Total‟ for the ALL that is crossed with XBNFGRP
ALL=‟Total‟ for the Region 3 total
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Table III.1
Constructed Beneficiary Group by Gender for Region 3
---------------------------------------------------------------------------------------
| | Constructed Beneficiary Group |
| |----------------------------------------------------------------|
| | Active Duty | Family of Active |
| |--------------------------------------+-------------------------|
| | Male or Female - R | | Male or Female - R |
| |-------------------------| |-------------------------|
| | Male | Female | ALL | Male | Female |
|--------------------+------------+------------+------------+------------+------------|
|Rating of|MEAN | | | | | |
|all | | | | | | |
|experien-| | | | | | |
|ce | | | | | | |
|w/health | | | | | | |
|plan | | 6.01| 6.33| 6.07| 6.87| 6.57|
|---------+----------+------------+------------+------------+------------+------------|
|In gnrl, |MEAN | | | | | |
|how would| | | | | | |
|you rate | | | | | | |
|ovrall | | | | | | |
|hlth | | 3.68| 3.73| 3.69| 3.60| 3.68|
---------------------------------------------------------------------------------------
(CONTINUED)
Table III.1
Constructed Beneficiary Group by Gender for Region 3
---------------------------------------------------------------------------------------
| | Constructed Beneficiary Group |
| |----------------------------------------------------------------|
| | | |Ret/Surv/Fam|
| | | | 65+ |
| | | Ret/Surv/Fam =‟Percent‟;
Table III.4 includes a program and its output for calculating column percentages.
The program statements in the Program Editor appear as follows.
The submitted statements produce the following output.
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2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
Table III.4
People Who Saw a Specialist in the Last 12 Months
for Region 6 Catchment Areas
------------------------------------------------------------------------------------------
| | |Little Rock | Barksdale | | |
| |Region Total| AFB | AFB | Ft. Polk | Tinker AFB |
| |------------+------------+------------+------------+------------|
| | # | % | # | % | # | % | # | % | # | % |
|-----------------------+-----+------+-----+------+-----+------+-----+------+-----+------|
|In lst yr:did you see a| | | | | | | | | | |
|specialist | | | | | | | | | | |
|-----------------------| | | | | | | | | | |
|Yes | 926| 54.66| 60| 59.41| 35| 41.67| 36| 56.25| 44| 51.16|
|-----------------------+-----+------+-----+------+-----+------+-----+------+-----+------|
|No | 768| 45.34| 41| 40.59| 49| 58.33| 28| 43.75| 42| 48.84|
|-----------------------+-----+------+-----+------+-----+------+-----+------+-----+------|
|Total | 1694|100.00| 101|100.00| 84|100.00| 64|100.00| 86|100.00|
------------------------------------------------------------------------------------------
(CONTINUED)
Table III.4
People Who Saw a Specialist in the Last 12 Months
for Region 6 Catchment Areas
------------------------------------------------------------------------------------------
| | | Brooke AMC-| | | Laughlin |
| | | Ft. Sam | | |AFB/Sheppard|
| | Ft. Sill | Houston | Ft. Hood | Dyess AFB | AFB |
| |------------+------------+------------+------------+------------|
| | # | % | # | % | # | % | # | % | # | % |
|-----------------------+-----+------+-----+------+-----+------+-----+------+-----+------|
|In lst yr:did you see a| | | | | | | | | | |
|specialist | | | | | | | | | | |
|-----------------------| | | | | | | | | | |
|Yes | 72| 49.66| 126| 63.64| 38| 50.00| 49| 55.06| 64| 53.78|
|-----------------------+-----+------+-----+------+-----+------+-----+------+-----+------|
|No | 73| 50.34| 72| 36.36| 38| 50.00| 40| 44.94| 55| 46.22|
|-----------------------+-----+------+-----+------+-----+------+-----+------+-----+------|
|Total | 145|100.00| 198|100.00| 76|100.00| 89|100.00| 119|100.00|
------------------------------------------------------------------------------------------
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2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
(CONTINUED)
Table III.4
People Who Saw a Specialist in the Last 12 Months
for Region 6 Catchment Areas
------------------------------------------------------------------------------------------
| | | | |TMC McWethy-| Monroe |
| | | NH Corpus | | Ft. Sam |Consolidated|
| |Lackland AFB| Christi |Randolph AFB| Houston | Ft. Hood |
| |------------+------------+------------+------------+------------|
| | # | % | # | % | # | % | # | % | # | % |
|-----------------------+-----+------+-----+------+-----+------+-----+------+-----+------|
|In lst yr:did you see a| | | | | | | | | | |
|specialist | | | | | | | | | | |
|-----------------------| | | | | | | | | | |
|Yes | 110| 61.45| 46| 57.50| 40| 47.62| 54| 59.34| 14| 36.84|
|-----------------------+-----+------+-----+------+-----+------+-----+------+-----+------|
|No | 69| 38.55| 34| 42.50| 44| 52.38| 37| 40.66| 24| 63.16|
|-----------------------+-----+------+-----+------+-----+------+-----+------+-----+------|
|Total | 179|100.00| 80|100.00| 84|100.00| 91|100.00| 38|100.00|
------------------------------------------------------------------------------------------
(CONTINUED)
Table III.4
People Who Saw a Specialist in the Last 12 Months
for Region 6 Catchment Areas
---------------------------------------------------
| |Bennett Fam | |
| |Care Clinic-|Out/Area-Reg|
| | Hood | 6 |
| |------------+------------|
| | # | % | # | % |
|-----------------------+-----+------+-----+------|
|In lst yr:did you see a| | | | |
|specialist | | | | |
|-----------------------| | | | |
|Yes | 16| 41.03| 122| 55.20|
|-----------------------+-----+------+-----+------|
|No | 23| 58.97| 99| 44.80|
|-----------------------+-----+------+-----+------|
|Total | 39|100.00| 221|100.00|
---------------------------------------------------
The statistic N is included with PCTN to make it easier to verify that the denominator definitions have
been set up properly. After you check to see that the percentages are accurate, the N statistic can be
removed. Note that the output for Table III.4 is unweighted. The N statistic (and PCTN statistic) is
always unweighted even if a WEIGHT statement is included.
Similarly, if you want to look at the percentage of TRICARE enrollees (and non-enrollees) by gender
who answered yes to question 15, this would be a row percentage. To calculate a row percentage, the
denominator definition must include all class variables that define the column. Your TABLE statement
would look like this:
TABLE H00015 ALL=‟Total‟,
XENRLLMT *(XSEXA=‟ „ All=‟Group Total‟)*
PCTN=‟Percent‟;
Notice that there are no parentheses used in the denominator definition. Because parenthetical
groupings are not allowed in the denominator definition, all crossings and concatenations must be
included. As noted above, the N and PCTN statistic are unweighted counts of CLASS variables. If you
want to produce a weighted count and percentage for this table, you would include WRWT (the 2000
weight variable) as an analysis variable in the VAR statement and in the column crossing of the TABLE
statement; the statistics to be generated should be specified as SUM and PCTSUM. A program and
output to demonstrate weighted row percentages appears in Table III.5.
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2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
The following screen shows the new program typed into the Program Editor.
These commands produce the following output.
Here, as above, the SUM statistic is included to help determine the accuracy of the denominator
definition.
Additional information about running SAS is available from the SAS Institute. Please consult the
appropriate manuals for more detailed information.
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See Table III.5 to view the entire table.
Table III.5
People Who Saw a Specialist in the Last 12 Months
by TRICARE Prime Enrollment and Gender
Region 6 Only
----------------------------------------------------------------------------------------
| | | Enrolled - under 65 |
| | Active Duty - under 65 |--------------------------------|
| |--------------------------------------| | |Group |
| | Male | Female |Group Total | Male | Female |Total |
| |------------+------------+------------+------------+------------+------|
| | # | % | # | % | # | % | # | % | # | % | # |
|--------------+------+-----+------+-----+------+-----+------+-----+------+-----+------|
|In lst yr:did | | | | | | | | | | | |
|you see a | | | | | | | | | | | |
|specialist | | | | | | | | | | | |
|--------------| | | | | | | | | | | |
|Yes | 37227| 9.56| 18305| 4.70| 55532|14.26| 31698| 8.14| 59979|15.40| 91677|
|--------------+------+-----+------+-----+------+-----+------+-----+------+-----+------|
|No | 91588|26.19| 20725| 5.93|112313|32.11| 22475| 6.43| 61545|17.60| 84020|
|--------------+------+-----+------+-----+------+-----+------+-----+------+-----+------|
|Total |128816|17.42| 39030| 5.28|167845|22.70| 54173| 7.33|121524|16.44|175697|
----------------------------------------------------------------------------------------
(CONTINUED)
Table III.5
People Who Saw a Specialist in the Last 12 Months
by TRICARE Prime Enrollment and Gender
Region 6 Only
---------------------------------------------------------------------------------------
| |Enro-| | |
| |lled | | |
| |under| | |
| | 65 | | |
| |-----| Not enrolled - under 65 |Not enrolled - 65 or over|
| |Group|--------------------------------------+-------------------------|
| |Total| Male | Female |Group Total | Male | Female |
| |-----+------------+------------+------------+------------+------------|
| | % | # | % | # | % | # | % | # | % | # | % |
|--------------+-----+------+-----+------+-----+------+-----+------+-----+------+-----|
|In lst yr:did | | | | | | | | | | | |
|you see a | | | | | | | | | | | |
|specialist | | | | | | | | | | | |
|--------------| | | | | | | | | | | |
|Yes |23.54| 43409|11.14| 75060|19.27|118470|30.41| 49462|12.70| 63026|16.18|
|--------------+-----+------+-----+------+-----+------+-----+------+-----+------+-----|
|No |24.02| 52662|15.06| 47230|13.50| 99892|28.56| 27471| 7.85| 23266| 6.65|
|--------------+-----+------+-----+------+-----+------+-----+------+-----+------+-----|
|Total |23.77| 96071|13.00|122290|16.54|218361|29.54| 76933|10.41| 86292|11.67|
---------------------------------------------------------------------------------------
(CONTINUED)
Table III.5
People Who Saw a Specialist in the Last 12 Months
by TRICARE Prime Enrollment and Gender
Region 6 Only
--------------------------------------------------------------------
| |Not enrolled| |
| | 65 or over | Enrolled - 65 or over |
| |------------+--------------------------------------|
| |Group Total | Male | Female |Group Total |
| |------------+------------+------------+------------|
| | # | % | # | % | # | % | # | % |
|--------------+------+-----+------+-----+------+-----+------+-----|
|In lst yr:did | | | | | | | | |
|you see a | | | | | | | | |
|specialist | | | | | | | | |
|--------------| | | | | | | | |
|Yes |112488|28.88| 6542| 1.68| 4826| 1.24| 11368| 2.92|
|--------------+------+-----+------+-----+------+-----+------+-----|
|No | 50737|14.51| 1287| 0.37| 1501| 0.43| 2788| 0.80|
|--------------+------+-----+------+-----+------+-----+------+-----|
|Total |163224|22.08| 7829| 1.06| 6327| 0.86| 14156| 1.91|
--------------------------------------------------------------------
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2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
How to Make a Table Using SPSS
The 2000 Adult HCSDB dataset is in an SPSS format. SPSS is a computer software system used for
data management, summarization, and analysis. SPSS can be run interactively, using menus, or in
batch mode, using syntax commands. This guide instructs users on how to use SPSS dialog boxes to:
Construct new variables
Recode existing variables
Select cases for analysis
Weight cases for analysis
Create customized tables
As you use the dialog boxes, you generate syntax automatically. This syntax may be pasted into a
syntax file for future use or for modification.
Locating and opening the data file
To begin an SPSS session, double click on the SPSS icon on your desktop. The Data Editor window
will open and present a blank spreadsheet like the following screen:
Click on File in the upper left corner to open the following menu:
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Select the Open option or choose a file from the list displayed. Open produces the following screen:
If the file is not in this directory, navigate through your folders until you locate it. Mark the file and click
Open. You will be returned to the spreadsheet Data Editor with the file on view. The 2000 Adult HCSDB
dataset for Quarter II has been opened and is displayed below.
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Constructing new variables
Data can be evaluated from many different aspects. It is sometimes useful to build new variables from
combinations of the existing ones and to examine their distributions.
For example, the variable in the file for beneficiary group at the time of sampling is called xbnfgrp, and
the variable for sex is xsexa. The value 1 for xbnfgrp indicates that the individual is on active duty. The
relationships for constructing a new variable of active duty by sex are:
Active-duty-males: xsexa=1 and XBNFGRP=1
Active-duty-females: xsexa=2 and XBNFGRP=1
Open the Transform menu and select Compute as in the following:
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The following dialog box will open:
You can build the new variable in two steps to express the two conditions. The first task is to give the
new variable a name and its first value. Enter the Target Variable slot and name the new variable
sex_ad. Next, assign the value 1 to sex_ad by entering it into the slot for Numeric Expression. Your
screen should look like the following:
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2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
Once you we have assigned the value 1 to sex_ad, you can build the condition that qualifies the
assignment. Click on If..and open the following dialog box:
Click on the circle indicating Include if case satisfies condition, and the black dot will move to that circle.
The slot underneath will open, ready for your input. Build the “if” condition. Write it directly into the slot
or move the elements into the slot from the given options. Add the elements xsexa = 1 & xbnfgrp = 1.
The screen should resemble the following:
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Click on Continue and return to the previous screen, which will now look like this:
Your condition will be written next to the If button. Click on OK to exit the dialog box, and the variable
sex_ad will be created with its value set to 1.
The next step is to build the second condition for the new variable, which will set it to the value 2.
Reopen the Compute dialog box. The commands you just gave still appear in the dialog box. Simply
assign the value 2 to sex_ad, press If, and enter 2 for the value of xsexa . Click Continue, and finish
with OK. The condition, if xsexa = 2 and xbnfgrp = 1, will be added to the new variable sex_ad.
Once you have created a new variable, you may want to add it permanently to the dataset. The new
variable is computed for each case in the file and added to the view in the Data Window after the last
variable in the dataset. The variable name is the column heading.
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Since the HCSDB data set carries Read-Only status to protect it from corruption, changes to it cannot
be saved. At the end of the day, when the work session ends and you exit SPSS, the file will revert to
its former status and the new variables will be lost. The solution is to save the dataset under a new
name when you exit. Choose the Save As option on the File menu, and you will be prompted to name
the file and to save it in a folder of your choosing. Give the file a new name and save it. Open the new
expanded file anytime for processing.
Suppose you do not want to use up your disk space for expanded copies of the dataset. Another option
is to save the syntax you have generated in a file that can be run as it is needed. Syntax is a written
instruction generated by the commands you give in a dialog box. These “sentences” can be saved in a
file and executed when needed. This is the batch mode of processing syntax commands. Syntax files
take up very little space.
Experienced SPSS programmers, who have mastered SPSS syntax, often prefer to work only in batch
mode. This option is available to users who have not mastered the syntax language. You can paste the
commands, generated interactively in the dialog box, onto a syntax file.
Recall the compute example for the new variable sex_ad. The screen below is the result of assigning 1
to sex_ad according to an If condition. You clicked on OK to set the value. Returning to the screen and
clicking on Paste writes the command to a syntax file.
Click on the Paste button, and the syntax window below will open with the syntax written in it.
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Now return to the compute dialog box.
Assign the value 2 to sex_ad as in the diagram above. Select Paste, and these commands will be
appended to the syntax file.
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The results appear in the screen above. SPSS gives default names to syntax files, such as Syntax1,
Syntax2, etc., as they are created. It is a good idea to save the syntax, re-naming the file using the
Save As option on the File menu. Use a name that has some meaning to you, e.g., New_computes.
The file will automatically receive the suffix .sps.
Another option for adding new variables to the dataset is to Recode existing variables into new
variables. A common example involves grouping an age variable into age categories as shown below,
using the variable DAGEQY, which exists on our dataset. DAGEQY is coded in years from 18 to 103,
which can be grouped into four age categories:
18 to 34 = 1 - label: “young adult”
35 to 49 = 2 - label: “mature adult”
50 to 65 = 3 – label: “middle-age”
66 to 103 = 4 – label: “senior citizen”
The new variable is called age_grp.
DAGEQY is a string variable. In order for it to be recoded using grouping criteria, it must be converted to a
numeric variable. In the data window go to the column for the variable DAGEQY and click in the gray area at the
top of the column causing the variable to be selected as the following screen indicates.
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Open the Data menu and select Define Variable as follows:
The following menu will open.
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Click on Type and on Numeric, transferring the black dot from String to Numeric as follows:
Click on Continue to return to the original screen. Click on OK to set the changes.
Now from the Transform menu, choose Recode and Into Different Variables as pictured below:
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The following dialog box will open:
Move DAGEQY from the variable list on the left to the box labeled Input Variable -> Output Variable.
In the Name slot, enter the new variable name age_grp. Enter Age Categories, the variable label, in
the Label slot. Click on Change. The dialog box should look like the one below.
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2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
Click on Old and New Values, and the following dialog box will open:
The next step in grouping the age variable is to specify the existing values of Age to be recoded. To do
this, click on the Range circle under Old Value.
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Once the appropriate slots are open, you have four ranges to enter.
First, enter 18 through 34 in the slots provided under Range. Next, enter the value 1 in the Value slot
under New Value. Add is now illuminated.
Clicking on Add produces the following result:
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The specified range appears in the box labeled Old -> New, and the Range and Value slots have
been cleared to permit additional entries.
The three remaining ranges are built in the same manner, adding each specification, until the dialog
box looks like the one below.
Click on Continue and return to the previous screen.
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2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
Click on OK to exit the screen. The new variable age_grp has been created. The Recode syntax can
be pasted to a syntax file.
The final task is to create the value labels for the new variable age_grp. Labeling variables makes
output from statistical reporting procedures much clearer and more elegant.
In the Data Window, go to the column for the new variable age_grp and click in the gray area
containing the variable name. The entire column will darken indicating that it has been selected.
Click on the Data menu at the top of the screen to open the following dialog box.
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2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
Click on Define Variable to get to the following dialog box:
The characteristics of age_grp are displayed in this dialog box. Information about the variable type, its
label, and its missing values appears here. Click on Labels to get to the following screen:
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2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
In the slot marked Variable Label is the label Age Categories, which was specified during the
Recode process. If there is no label for the variable, enter one in this slot.
You can then begin to label the values of age_grp. Enter 1 in the slot marked Value, and enter the
label Young Adult in the slot marked Value Label. The screen will look like the following:
Add is now illuminated. Click on Add and the text of your command will appear in the central box,
clearing the slots for further entries, as in the next screen.
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Build the other three labels until the screen looks like the following:
Click continue, and return to the first screen.
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Click on OK to exit. The labels have been added.
Limiting the Number of Variables
The HCSDB dataset contains many variables. To speed up software performance time, it may be
desirable to limit the number of variables for analysis. There are ways to do this.
The first is to Save a subset of variables in a new file with a new name. This option is available only
through syntax. The Keep or Drop command lets you save a subset of variables. The choice of Keep
or Drop is dependent on which list is shorter to write.
For example, suppose you want to run some procedures to evaluate the rating of all experiences with
the health plan as it relates to the beneficiaries‟ state of health. You are also interested in the
differences between military and civilian services, and in differences within these groupings by gender.
Moreover, you want to look at regional differences and differences among catchment areas. You can
do all the work on a subset of only nine variables, saving them in a separate file.
To write the syntax, open a syntax window. If you want to create a new syntax file, choose New,
Syntax on the File menu as in the following:
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A blank syntax window will open.
Write the following command, substituting the file name and directory specification:
SAVE OUTFILE=‟C:\MYFILES\HELTHCARE.SAV‟/KEEP=XREGION XSEXA XENRLLMT
CACSMPL WRWT XBNFGRP H00015 H00056 H00077. as in the following:
Upper case is optional. Be sure to enclose the entire file name in single quotes and to type a period at
the end of the command.
Run the command by choosing the Run menu and selecting All from the choices.
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Open the new file according to the specifications at the beginning of this chapter.
The second way to limit the number of variables for analysis is to define a subset of variables that will
appear in the dialog boxes for procedures. Using the Utility menu, define a subset of variables as in
the following:
Select Define Sets.
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2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
Insert a name for the subset of variables in the slot labeled Set Name. Move the variables you want to
subset from the list on the left to the slot marked Variables in Set. By way of illustration, we will move
the nine variables selected for the day‟s processing.
The screen should look like the following:
Click on Add Set to save the set specifications. The screen will change to the following:
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The set is now available for use. To use the set, Close the dialog box, reopen the Utilities menu,
choose Use Sets…, and receive this screen:
.
Move HLTHCARE from the left slot to the right slot, which is labeled Sets in Use. Transfer
ALLVARIABLES from the right to the left slot. Leave NEWVARIABLES where it is. OK saves this
change.
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Until you change this specification, only nine original variables and any new variables will appear in the
dialog boxes associated with procedures.
Limiting the Number of Observations
There are many ways to limit the number of observations available to statistical reporting procedures.
The method illustrated here involves using filter variables with a menu-driven Filter By option. Using
filters deactivates but does not delete cases from the file. A diagonal line appears next to the filtered
cases in the Data Window.
The first task is to compute a filter variable for all the cases in the file.
A filter variable has two values: 0 and 1. The 1 indicates that the case will be included for procedures.
The 0 flags the case for removal.
For example, suppose you want to produce a table for people who live in the Southeast, i.e., cases for
which the variable xregion = 3. You would build a filter variable named filtr_3, which has the value 1
associated with the cases in the Southeast and 0 for all the other cases in the file. The logic is: if
xregion = 3, then filtr_3 = 1, else filtr_3 = 0.
The screen below shows the final step in computing the filter variable. The variable was first initialized
to 0. Then, the “If” condition was built for setting the filter variable to 1. You are now working with a
subset of variables, allowing the dialog boxes to be used more efficiently.
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The screen that follows shows the syntax that was generated as you built the variable filtr_3.
Once you build the filter variable, you can apply it for analyzing only those people from the Southeast.
Using the Data menu, choose Select Cases.
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In the dialog box, check Use filter variable. Move the variable filtr_3 from the variable list on the left
side of the dialog box into the slot provided, as indicated below. Check that the option Filtered is
checked under Unselected Cases Are. This is the default option.
Click OK and exit the dialog box.
When you return to the Data Window, notice the slanting line next to some of the cases in the file.
Those cases have been filtered out.
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You can now produce tables for the subset of cases.
When using filter variables, it is important to check the filter status and to adjust it to fit the present
need. Filtered cases are not available for procedures. Moreover, a filter is in effect until it is turned off or
until another filter is activated. Check the status line at the bottom of the Data Editor window to see if a
filter is activated. In the example above, Filter On is indicated on the status line. To see which filter is
active, you must re-enter the Select Cases dialog box. There you can deactivate the filter or activate a
new one.
To deactivate a filter, choose All cases and OK as in the screen below.
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Weighting Data
The data file includes a weighting variable, WRWT, which should be applied to all procedure runs.
Again, using the Data menu, choose Weight Cases. In the dialog box, choose Weight cases by.
Move the weight variable from the list on the left into the slot labeled Frequency Variable on the right
as shown below:
Click on OK and exit the dialog box. The indication that the data is weighted appears on the status line
near the bottom of the screen. As in the following screen, Weight On is specified there.
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The status line indicates if the data is weighted. Which weight variable is in effect can only be checked
by re-entering the Weight Cases dialog box. Weighting stays in effect until it is canceled or until
another weight variable is activated.
BUILDING TABLES
Building tables starts with creating a new subset of variables that includes H00015, H00056, H00077,
cacsmpl, xbnfgrp, xsexa, xregion, xenrllmt, wrwt, and filtr_3. The procedures Means and Crosstabs
will probably meet most of your statistical reporting needs. SPSS also offers many options for editing
the output tables themselves. Some of these options are explained here.
Calculating Means
As an example, suppose you want to analyze the health care variables and you want to focus on the
Southeast (xregion = 3). Suppose you are also interested in overall differences in the mean rating for
care received in a military facility as it relates to the beneficiary‟s self-evaluation of his health for the
Southeast region. Within this grouping, you want to examine the effects of the beneficiary group,
xbnfgrp, and sex, xsexa.
The health care variables are H00056 – rating of the health plan, and H00077 – assessment of the
state of health. The statistic you want to see is the mean of the health care variables for each group in
our breakdown.
For this analysis, you can use the subset of variables defined above. The subset includes the weight
variable, wrwt, which you would activate for procedure runs. The subset also includes the new
variable, filtr_3, which allows us to select only those cases in the Southeast.
Open the Data menu in the Data Window. In the Weight Cases dialog box, activate the weight
variable wrwt. Reopen the Data menu and, in the Select Cases dialog box, activate the filter variable,
filtr_3. On the status line, Filter On and Weight On should appear.
Open the Statistics menu in the Data Window. Choose Compare Means and Means from the
options as illustrated below.
The dialog box for the Means procedure will open as in the following screen:
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Move the health care variables, H00056 and H00077, from the variable list on the left to the box
underneath Dependent List. These are the two analysis variables. Notice that Layer 1 of 1 is specified in
the middle of the dialog box. Move xbnfgrp from the variable list on the left into the box under
Independent List. xbnfgrp is the first grouping variable. The screen should look like the following:
Click on Next in the center of the box to create a second layer. The following screen will open:
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Notice that Layer 2 of 2 is specified in the middle of the dialog box. Move xsexa from the variable list on
the left into the box under Independent List. Xsexa is the second grouping variable. The screen should
look like the following:
To set some options, click on Options and the following dialog box will open:
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On the left of the box is a list of statistics, under Statistics. These are all the possible options for
statistical output. In the box under Cell Statistics are the default output statistics for the analysis. In this
case, Mean is the statistic of interest. Highlight Number of Cases and Standard Deviation and move
them to the box at the left, removing them from the analysis, as follows:
Click on Continue and return to the previous screen. Click OK. The Means procedure will run. On the
status line, Running Means will appear, and a counter for the number of cases processed will be
activated.
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When Means has finished processing, the Output Navigator window will open automatically. As the
name suggests, the output window is not just for looking at output. A number of options are available
for navigating through output, moving tables, and even editing the tables themselves.
The output is organized into two sections. On the left side is a navigating tool, which lists the
components of the right side, the actual output. In the left pane, Means is indicated, and indented
under it appear Title, Notes, Case Processing Summary, and Report. Clicking on Means highlights
and selects all the elements. Lines appear around these elements in the right pane. The indenting
indicates that the elements are hierarchically organized, with Means at the top. Clicking on any of the
sub-elements selects just that element.
A closer look at the left pane reveals another feature. Hiding underneath the element icons are book
icons. The books are either open or closed. If a book is closed, the element is hidden. Notice that the
book under the Notes icon is closed. This is a default SPSS option. Double-clicking the icon will open
the book, and the Notes will appear in the output. Double-clicking an open book will close it, and the
physical element will disappear from the output. Closing a book and hiding the element does not delete
the element.
It is possible to select elements in the right pane of the output. Simply click anywhere inside of the
actual output element, and that element will be selected.
The output may contain many different procedures. The procedure name will be at the top of the list for
each section in the left pane. The procedure name does not actually parallel physical output but
indicates the category of the output elements.
As you click on each element in the left pane, you will notice that the screen jumps to the actual output
of the element, in the right pane. When you click on the procedure name, you jump to the beginning of
the next procedure output. This is a quick way to scroll through your output. It also lets you delete,
move, and edit selected elements.
To Edit the Title element, Means, to create a more appropriate title, select the table title by clicking
once on the Title icon in the left pane. A box now surrounds the title in the right pane. Double-click
anywhere within this box, and a box appears around Means, as shown in the following screen.
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You have entered the edit mode for this element, and the cursor appears inside the box. You can
delete the word Means and write a title that relates to the information in the table. A possible title
appears in the next screen. To exit edit mode, click anywhere outside the box. The change you made
will be saved.
If you navigate to the next element, Notes, you see a closed book. Double-click this item, and the notes
will appear as follows:
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Decide if you want this information to appear in your report. If not, simply double-click the Notes icon,
and the notes will again become hidden.
Navigate to Case Processing Summary. The table gives useful information about the number of
cases included in and the number of cases excluded from a given procedure. This information is
important for the researcher but probably not necessary for the report, so you would double click this
item to hide it.
Navigate to Report to see the actual table output from the procedure Means. You can view this table
by scrolling through the output. If the table is large, however, scrolling in the output window can be
problematic. A better way to review the table is to open it as a Pivot Table Object in a special editor.
Select the table by clicking the Report icon or by clicking inside the table itself. A box will appear
around the table. Insert the mouse pointer inside the table and right-click, opening the following dialog
box:
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Select SPSS Pivot Table Object and Open as pictured below:
The table will appear in a new screen superimposed on the output. Maximize this screen as shown
below.
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In this special editor, there are many options for formatting the table.
Suppose you want to change the table format from vertical to horizontal. Open the Pivot menu in the
tool bar and choose Transpose Rows and Columns as shown below:
The rows and columns will be reversed as shown in the following screen. Though the table appears too
wide in the viewer, it will fit the page when printed. You can do all the table editing in the left section of
the table, and the changes will spread through the entire table.
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You would then notice that certain labels are redundant. The labels, Constructed Beneficiary Group
and MALE or FEMALE -R are the Variable Labels for the variables. The information in these labels is
echoed in the Value Labels, which are also reproduced in the table. You would delete the Variable
Labels as follows.
Click inside the section of the table where the label, Constructed Beneficiary Group, appears. Right-
click to open a dialog box, choosing Hide Dimension Label, as illustrated below.
Click inside the table section labeled MALE or FEMALE -R and repeat the above procedure. An
improved table is shown in the following screen.
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The mean values reported are formatted to allow space for the labels of the satisfaction variables. The
spaces between the values are not pleasing to the eye. You can shorten these labels and add the lost
information in another place, according to the following procedures:
Double-click on the label for health state. Delete the text, entering only the word, Health State. Do the
same for the health care label, entering only the words, Plan Rating.
Double-click on the word, Report, in the center at the top of the table, right-click, and choose Delete
from the dialog box.
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The resulting table is much more readable. You can then add the deleted information to clarify the table
output. Double-click on the label Mean at the top left corner of the table, opening the line for editing.
Type in a new title for the table. The final result appears below.
After all the editing changes have been made, exit the Pivot Table editor and return to the output
navigator. Click on the File menu and choose Print Preview. Zoom in on the page and review the
appearance of the report. The page will appear as the page below.
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Calculating Percents
The Crosstabs procedure offers many options for analyzing data. The distribution of cases resulting
from “crossing” one variable with another is often of interest. The number of cases, row percentages,
column percentages, total percentages, and residuals are easily reproduced by Crosstabs. A full array
of statistics is also available.
The examples given here involve examining relationships between variables, with a view toward the
number of cases and the percent of cases in cells produced by “crossing” the variables.
For example, suppose you want to see the percentage of people in the Southwest catchment areas
who answered “yes” or “no” to the question, “Did you see a specialist in the last 12 months?” The
variables in this analysis are cacsmpl – the catchment area, and H00015 – the question variable. The
cases for the analysis are from the Southwest only.
The first task is to build a new filter variable, assigning 1 to the variable when xregion = 6. You would
call the variable filtr_6 and build it the same way you built the filter, filtr_3. Cases from the Southwest
are selected when you activate the filter, and the other cases are filtered out. Check the status line for
Filter On.
Next, open the Statistics menu in the Data Window, choosing Summarize and Crosstabs , as
shown below.
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The Crosstabs dialog box will open as follows:
Move H00015 from the variable list on the left into the box marked Row(s):, and move the variable
cacsmpl into the box marked Column(s):. The screen will resemble the following:
For this analysis, there are no Layer variables, so you can proceed to format the table cells.
Click on Cells... and open the following dialog box.
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Under Counts, Observed is checked. This refers to the cell count, a statistic you want to see, so you
would leave it checked. Under Percentages, check Column because you are interested in the
percentage of people in each catchment area. Click Continue and return to the original screen.
Suppose you also want to see the chi-square statistic. Click on Statistics, and the following screen will
open:
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Check Chi-square as in the screen above, click Continue to return to the first screen, and click OK to
run the procedure. Running Crosstabs will appear on the status line, together with the case counter.
When the run is completed, the output window will open, and you can proceed to reformat the table.
For a given work session, SPSS appends new output to previous output--in our case, the Means
procedure. As shown in the next screen, a second section now appears in the left pane, headed by the
word Crosstabs. Navigate to the Title section and double-click inside the title box to change the text in
the box to fit the table, as in the example below.
As you did for the Means procedure, you would again evaluate the Notes and examine the Case
Processing Summary. Hide the Notes and delete the Case Processing Summary as you did
before.
Navigate to the procedure icon. Follow the procedure for opening an SPSS Pivot Table Object, open
the table in the special editor and maximize the screen as in the following:
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The information you requested is in the table, but the table is hard to read. The first possibility is to
realign the percent statistic, bringing it into the row dimension. To do this, open the Pivot menu and
choose Pivoting Trays, as in the following screen:
The pivoting tool will appear:
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This tool reflects the table structure: rows, columns, and layers. The icons in the margins of the pivoting
trays represent the table elements: the variables and the cell statistics. Place the mouse pointer on
each icon and notice the element name appear. In this example, on the ROW axis, you would find the
variable, H00015 – saw specialist in the last 12 months, and Statistics – the percent of people in each
catchment area. On the column axis is the variable, cacsmpl – the catchment area.
Place the mouse pointer on the Statistics icon. Click and drag the icon from the ROW to the COLUMN
dimension. The table immediately reformats as in the following screen:
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Close the pivoting tool and scroll from side to side in the table. Again, the table appears too wide, but
the report will print properly. Notice that the table is much more readable.
The label at the top of the table is the Variable Label for cacsmpl. Select it by double-clicking and edit
it for clarity (see the screen below).
The table is now formatted to accommodate the long percent label, creating a lot of wasted space.
Double-click this element, delete the text, and replace it with the word, “Percent”. The empty space
disappears and the table appears as follows:
Next, notice that the label for H00015 is awkward. Select and clear it.
Last, edit the text in the table label so that it better expresses the content of the table. The finished table
appears as follows:
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Check Print Preview to see if the table is acceptable.
The last example shows you how to add a Layer dimension to a Crosstabs analysis. Using the same
row variable, H00015, suppose you want to look at the percentage of people by their enrollment status
in TRICARE Prime, xenrllmt, who saw a specialist in the past 12 months. Suppose you are also
interested in sex differences, xsexa, among the groupings. Xsexa is the Layer variable. You want to
remain in the Southwest region, using filtr_6 as the filter variable. The cases will be weighted by wrwt.
The status line indicates Weight On and Filter On. Verify that both the weight and the filter variables
are appropriate.
Once more, open the Crosstabs dialog box, enter the analysis variables, and set the Cells options,
checking Column under Percentages until the dialog box looks like the following:
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Do the following:
Run Crosstabs.
Edit the Title element in the Output Navigator.
Examine Notes and the Case Processing Summary to verify that the CrossTab ran as expected.
Open the table as an SPSS Pivot Table Object, and the following will appear:
The table is difficult to read, but you can improve it by doing the following.
Select the Pivot menu to activate the Pivoting Trays. The table structure is reproduced in the tool as
follows:
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Place the mouse pointer on each small icon to find the second grouping variable, labeled MALE OR
FEMALE-R, in the ROW dimension. Move it to the COLUMN dimension, and the table changes to the
following:
Then drag the Statistics icon to the COLUMN dimension to produce the following change:
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Close the Pivoting Trays and hide the dimension label, MALE OR FEMALE-R, in the table. Then,
change the percent label to “Percent” and delete the label for H00015 in the row dimension. Last,
revise the label above the table to make it more informative.
The resulting table is both clear and informative.
The Print Preview, as in the view below, shows how the report will print.
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CALCULATING VARIANCES OF ESTIMATES
Sampling error occurs when estimates are derived from a sample rather than a complete census of the
population. The sample used for a particular survey is only one of a large number of possible samples
of the same size and design that could have been selected. Even if the same questionnaire and
instructions were used, the estimates from each sample would differ from the others. The standard
error (or square root of the variance) indicates the magnitude of the sampling error and thus measures
the precision expected from a particular sample.
It is desirable to assess the accuracy of an estimate. The standard error of a survey estimate measures
the precision with which an estimate from one sample approximates the true population value. The
standard error can be used to construct confidence intervals for survey parameters, within which the
true parameter lies within a measurable degree of certainty.
This section explains how to estimate standard errors or variances for estimators computed from the
2000 Adult HCSDB. For a full discussion of variance estimation methods, see Wolter (1985) and
references cited therein.
Variance Estimation Methods
1
To account for the sample design, it is customary to use either Taylor series linearization or a
resampling method for variance estimation. Neither variance estimation method is, in general, better so
the choice of one or the other is largely a matter of convenience. To help users to estimate standard
errors using Taylor series linearization or jackknife replication, the public release files for the 2000 Adult
HCSDB include the following variables:
The stratum variable and the final weight (POSTSTR and WRWT) for the Taylor series
linearization method
Jackknife replicate weights (WRWT01 to WRWT60) for the jackknife replication method
Two popular software packages are available for performing Taylor series linearization or the jackknife
TM 2
replication method: SUDAAN (Shah et al. 1997) and WesVarPC (Brick et al. 1996), respectively.
The discussion below explains how SUDAAN and WesVarPC are used to calculate variance estimates
using Taylor series linearization and jackknife replication methods.
1
The 2000 HCSDB uses a stratified sampling design. For details, see N.A. Clusen and D.S. Jang. “The 2000 Health Care
Survey of DoD Beneficiaries: Quarter One Adult Sample Design.” Washington, DC: Mathematica Policy Research,
November 2000.
2
The latest version for SUDAAN 7.5 and SAS 8.0 can be used for replication methods including jackknife variance
estimation.
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Taylor Series Linearization Method
For most sample designs (including the 2000 Adult HCSDB), design-based variance estimates for
linear estimators of totals or means can be obtained with explicit formulas. However, nonlinear
functions such as ratios do not have exact expressions for the variance. The Taylor series
linearization method approximates the variance of a nonlinear estimator with the variances of the
linear terms from the Taylor series expansion. Woodruff (1971) presented applications of this
technique to sample surveys. Details on this method can also be found in “The 2000 Health Care
Survey of DoD Beneficiaries: Adult Technical Manual”.
To calculate variance estimates based on Taylor series linearization method with HCSDB‟s stratified
sampling design, both the stratum variable (POSTSTR) and the final weight (WRWT) specified for
each data record are needed. The public release files for the 2000 Adult HCSDB include these
variables: POSTSTR and WRWT.
SUDAAN incorporates the final analysis weight and the survey design to obtain estimates and their
sampling errors. With a small overall sampling rate of about 1 percent, you can use the with-
replacement design procedure (STRWR) in calculating standard errors.
All SUDAAN procedures require the following:
The specification of sampling designs. The terminology for the stratified with-replacement sample
design is DESIGN = STRWR.
The data file sorted by the variable specified in the NEST statement. For the 2000 Adult HCSDB,
the data file for adults must be sorted by POSTSTR before using any SUDAAN procedure.
A FILE TYPE appropriate for SUDAAN, if you use a stand-alone SUDAAN program. For example,
some SUDAAN PC versions under Windows or MS-DOS accept only V6.02 through V6.04 SAS
files, and FILE TYPE must be specified as SAS. SAS-callable SUDAAN is also available and can
be invoked directly in a SAS program with any available SAS file as input; FILE TYPE is not
needed here.
The WEIGHT variable is WRWT
The following program is an example of how to use SUDAAN to calculate variance estimates for a
mean statistic. Suppose you want to estimate:
H00016 among all beneficiaries in the past 12 months who saw a specialist (H00015=1) for each
region (XREGION)
PROC DESCRIPT DATA=HCSDB /*FILETYPE=SAS*/ DESIGN=STRWR;
WEIGHT WRWT;
NEST POSTSTR;
SUBPOPN H00015=1;
SUBGROUP XREGION;
LEVELS 16;
VAR H00016;
The following program is an example of how to use SUDAAN to calculate variance estimates for
column percentages or row percentages. Suppose you want to estimate:
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A cross tabulation of respondents in region 3 who last had a blood pressure reading less than 12
months ago, 1 to 2 years ago, and more than 2 years ago (H00062) by TRICARE enrollment
(XENRLLMT).
PROC CROSSTAB DATA=HCSDB /*FILETYPE=SAS*/ DESIGN=STRWR;
WEIGHT WRWT;
NEST POSTSTR;
SUBPOPN XREGION = 3;
SUBGROUP H00062 XENRLLMT;
LEVELS 3 5;
TABLES H00062 *XENRLLMT;
From the above examples, users should note that:
PROC DESCRIPT can be used to compute estimates of means and the corresponding
standard errors.
PROC CROSSTAB can be used to compute estimates of proportions and the
corresponding standard errors.
For a more detailed and complete discussion of how to use SUDAAN, see Shah et al. (1997).
Jackknife Replication Method
Another popular way to estimate the variance is to use a resampling method such as jackknife
replication, balanced repeated replication, random groups, or the bootstrap method. Like other
replication methods, jackknife replication constructs a number of subsamples (replicates) from
the full sample and computes the statistics of interest for each replicate (with the same formula
as the full sample estimate). The mean square error of the replicate estimates around their
corresponding full estimate provides an estimate of the sampling variance of the statistic of
interest regardless of the functional form of the statistic.
There are 60 replicate weights (WRWT01-WRWT60) for the 2000 Adult HCSDB in the public use file.
Construction of these weights is described in the Adult Technical Manual. With the replicate weights,
you can produce jackknife standard errors using in-house or custom written software, or you can use a
publicly available software package such as WesVarPC or SUDAAN 7.5. Because WesVarPC 2.02 is
available as freeware on the World Wide Web (http://www.westat.com/wesvarpc/index.html), the
following example explains how it is used to produce jackknife variance estimates for statistics from the
2000 Adult HCSDB.
Suppose you want to estimate the mean rating of specialists (H00016) by beneficiaries who went to a
specialist in the past 12 months (H00013=1) for each region (XREGION). You would use WesVarPc
as follows.
Create a SAS V6.04 file, SAS Transport file, or ASCII file. WesVarPC has a restriction for the
input data format. All files must be converted to one of these three types of files before being
imported to WesVarPC.
Create a WesVarPC data file. From the Prep menu, choose the Import Data Files screen and
import all variables for the analysis. For this example, input H00015, and XREGION into the
Variables box, WRWT01-WRWT60 into the Replicates box, and MPRID into the ID box. Also
specify the replication method as JK1 on this screen.
Create a data file for the subpopulation. Specify the subpopulation by choosing the Subpop
WesVarPC Data File from the Prep menu: H00015=1.
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Calculate estimates. From the Tables menu, choose New and select the file created from the
above procedure. Then, from the Table Request screen, specify H00016 as the Analysis
variable, MEAN (H00016) as the Compute Statistics, and XREGION as the Table.
The above steps can also be followed to produce standard errors. The WesVarPC user‟s manual
(Brick et al. 1996) provides other possible methods for producing standard errors. The latest
WesVarPC 4.0 is no longer freeware and can be purchased from Westat.
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PAGE IS INTENTIONALLY LEFT BLANK TO ALLOW FOR DOUBLE-SIDED COPYING
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Chapter
4
Codebook
This chapter describes every variable in the database. This codebook will also be helpful in identifying
which data are available for various analyses, and what, if any, recoding of variables will benefit your
needs. It may also be useful in reviewing output.
The variables are in order based on their order in the database. An alphabetical listing (see Table of
Contents) is provided to assist in locating variables.
The codebook contains frequency distributions for both discrete and continuous variables. A discrete
variable is one that has only a few values. A continuous variable may have many possible values.
Below are two examples of the presentation of variables in the codebook. For each variable, we
include the variable name, definition, weighted and unweighted frequency distributions, and the format
value for each value. The first example contains a frequency distribution for a discrete variable.
H00077 -
Rating of your overall health now
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
. 209 1.43 77737.54 1.20 Did not answer
A 32 0.22 14786.06 0.23 Invalid multiple responses
1 401 2.74 192227.60 2.97 Poor
2 1869 12.78 860379.20 13.28 Fair
3 5022 34.33 2179944.00 33.64 Good
4 5048 34.51 2250996.00 34.73 Very Good
5 2048 14.00 905103.10 13.97 Excellent
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The table below contains an example of a frequency distribution for a continuous variable: age.
The frequency does not list every possible value of age individually but instead shows several age
ranges that together cover all possible values of age. You will notice that the last range
representing ages “75 years and older” includes 1133 respondents age 75 and older.
DAGEQY -
Age (As of 31 July 2000)
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
018 -- 034 3553 24.29 1422047.00 21.94 018--034
035 -- 044 2968 20.29 1176405.00 18.15 035--044
045 -- 054 2184 14.93 1051868.00 16.23 045--054
055 -- 064 2467 16.86 1327178.00 20.48 055--064
065 -- 074 2324 15.89 963590.20 14.87 065--074
075 -- 095 1133 7.74 540083.80 8.33 075 yrs and older
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MPRID -
Unique MPR Identifier
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
01601266 -- 06665197 14629 100.00 6481173.00 100.00 00000001--99999999
SVCSMPL -
Branch of Service Sampling Variable
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
1 4570 31.24 2222620.00 34.29 Army
2 3079 21.05 1614321.00 24.91 Navy
3 855 5.84 430594.90 6.64 Marine Corps
4 5799 39.64 2060353.00 31.79 Air Force
5 275 1.88 128313.90 1.98 Coast Guard
6 51 0.35 24969.18 0.39 Other/Unknown
SEXSMPL -
Sex Sampling Variable
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
1 7399 50.58 3542228.00 54.65 Male
2 7230 49.42 2938945.00 45.35 Female
STRATUM -
Sampling STRATUM
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
101 23 0.16 3899.25 0.06 101
103 21 0.14 1707.63 0.03 103
106 40 0.27 5274.21 0.08 106
301 15 0.10 4413.24 0.07 301
302 1 0.01 36.22 0.00 302
303 18 0.12 2984.62 0.05 303
304 3 0.02 333.71 0.01 304
305 1 0.01 69.04 0.00 305
306 12 0.08 2634.19 0.04 306
307 27 0.18 7941.83 0.12 307
310 21 0.14 5257.01 0.08 310
401 35 0.24 3883.03 0.06 401
403 31 0.21 2690.78 0.04 403
12/27/11 93
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
406 36 0.25 3595.64 0.06 406
501 34 0.23 11248.26 0.17 501
502 1 0.01 61.97 0.00 502
503 6 0.04 2932.78 0.05 503
504 1 0.01 345.98 0.01 504
506 1 0.01 854.63 0.01 506
507 4 0.03 2051.57 0.03 507
510 2 0.01 1296.55 0.02 510
601 17 0.12 7848.80 0.12 601
603 16 0.11 6750.84 0.10 603
604 2 0.01 579.37 0.01 604
606 13 0.09 5851.37 0.09 606
607 14 0.10 3284.80 0.05 607
610 8 0.05 2560.08 0.04 610
801 30 0.21 3916.69 0.06 801
803 21 0.14 2372.21 0.04 803
806 31 0.21 3062.15 0.05 806
810 2 0.01 31.20 0.00 810
901 9 0.06 8448.16 0.13 901
902 1 0.01 189.41 0.00 902
903 7 0.05 3155.55 0.05 903
904 2 0.01 633.88 0.01 904
905 7 0.05 4596.00 0.07 905
906 12 0.08 6569.00 0.10 906
907 26 0.18 19355.99 0.30 907
910 30 0.21 22969.01 0.35 910
1001 42 0.29 6907.73 0.11 1001
1003 18 0.12 3062.16 0.05 1003
1006 38 0.26 5375.89 0.08 1006
1010 3 0.02 46.82 0.00 1010
1301 40 0.27 4622.58 0.07 1301
1303 19 0.13 2252.33 0.03 1303
1306 19 0.13 2599.39 0.04 1306
1401 13 0.09 10771.35 0.17 1401
1402 1 0.01 383.11 0.01 1402
1403 3 0.02 1692.83 0.03 1403
1405 4 0.03 3929.75 0.06 1405
1406 17 0.12 16487.51 0.25 1406
1407 20 0.14 17579.49 0.27 1407
1410 33 0.23 25270.51 0.39 1410
1501 40 0.27 4156.04 0.06 1501
1503 21 0.14 2307.09 0.04 1503
1506 15 0.10 979.33 0.02 1506
1901 35 0.24 6210.10 0.10 1901
1903 25 0.17 2995.90 0.05 1903
1906 10 0.07 2542.00 0.04 1906
2401 26 0.18 45464.76 0.70 2401
2402 4 0.03 2617.56 0.04 2402
2403 11 0.08 7296.41 0.11 2403
2404 23 0.16 2139.22 0.03 2404
2405 4 0.03 3777.85 0.06 2405
2406 6 0.04 5768.50 0.09 2406
2407 20 0.14 14398.70 0.22 2407
2410 35 0.24 20015.93 0.31 2410
2601 37 0.25 6798.39 0.10 2601
2603 23 0.16 5175.79 0.08 2603
2606 17 0.12 2527.78 0.04 2606
12/27/11 94
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
2801 19 0.13 6520.87 0.10 2801
2802 2 0.01 264.40 0.00 2802
2803 13 0.09 2301.15 0.04 2803
2804 4 0.03 512.58 0.01 2804
2805 5 0.03 886.94 0.01 2805
2806 11 0.08 1984.06 0.03 2806
2807 13 0.09 3934.06 0.06 2807
2810 12 0.08 2651.08 0.04 2810
2901 36 0.25 78955.24 1.22 2901
2902 3 0.02 2682.70 0.04 2902
2903 15 0.10 14345.57 0.22 2903
2904 22 0.15 5237.23 0.08 2904
2905 6 0.04 7510.36 0.12 2905
2906 11 0.08 14367.47 0.22 2906
2907 33 0.23 37162.87 0.57 2907
3001 6 0.04 9767.21 0.15 3001
3003 9 0.06 2347.52 0.04 3003
3004 1 0.01 175.53 0.00 3004
3005 4 0.03 1047.38 0.02 3005
3006 4 0.03 1197.72 0.02 3006
3007 8 0.05 1683.22 0.03 3007
3010 10 0.07 1659.91 0.03 3010
3201 11 0.08 5983.28 0.09 3201
3202 1 0.01 229.86 0.00 3202
3203 20 0.14 7322.66 0.11 3203
3204 16 0.11 1153.25 0.02 3204
3205 1 0.01 262.06 0.00 3205
3206 26 0.18 7162.33 0.11 3206
3207 20 0.14 7461.00 0.12 3207
3301 12 0.08 8234.45 0.13 3301
3302 2 0.01 184.55 0.00 3302
3303 16 0.11 3188.07 0.05 3303
3304 26 0.18 701.41 0.01 3304
3305 3 0.02 798.46 0.01 3305
3306 29 0.20 7673.74 0.12 3306
3307 41 0.28 11439.00 0.18 3307
3501 43 0.29 13687.99 0.21 3501
3503 16 0.11 3436.38 0.05 3503
3506 10 0.07 3066.92 0.05 3506
3510 3 0.02 193.83 0.00 3510
3601 31 0.21 3784.18 0.06 3601
3603 21 0.14 1601.29 0.02 3603
3606 27 0.18 2536.29 0.04 3606
3607 2 0.01 51.35 0.00 3607
3701 42 0.29 16500.83 0.25 3701
3702 2 0.01 672.70 0.01 3702
3703 4 0.03 1802.33 0.03 3703
3704 24 0.16 2278.34 0.04 3704
3705 7 0.05 3167.72 0.05 3705
3706 5 0.03 2228.97 0.03 3706
3707 35 0.24 13057.88 0.20 3707
3710 36 0.25 14800.66 0.23 3710
3801 30 0.21 23720.58 0.37 3801
3802 3 0.02 765.58 0.01 3802
3803 15 0.10 4228.86 0.07 3803
3804 20 0.14 959.98 0.01 3804
3805 6 0.04 2786.66 0.04 3805
12/27/11 95
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
3806 14 0.10 6486.34 0.10 3806
3807 30 0.21 14603.65 0.23 3807
3810 44 0.30 12103.59 0.19 3810
3901 24 0.16 36855.84 0.57 3901
3902 1 0.01 784.20 0.01 3902
3903 11 0.08 9905.49 0.15 3903
3904 6 0.04 3691.31 0.06 3904
3905 4 0.03 4285.41 0.07 3905
3906 13 0.09 13693.47 0.21 3906
3907 27 0.18 28141.06 0.43 3907
3910 16 0.11 16477.86 0.25 3910
4201 14 0.10 8747.93 0.13 4201
4202 1 0.01 613.69 0.01 4202
4203 6 0.04 4731.33 0.07 4203
4204 20 0.14 1694.03 0.03 4204
4205 5 0.03 2136.08 0.03 4205
4206 15 0.10 6685.93 0.10 4206
4207 41 0.28 15081.23 0.23 4207
4210 43 0.29 11106.45 0.17 4210
4301 22 0.15 3445.00 0.05 4301
4303 21 0.14 2373.22 0.04 4303
4306 31 0.21 4100.23 0.06 4306
4501 6 0.04 6729.37 0.10 4501
4502 1 0.01 465.82 0.01 4502
4503 3 0.02 2098.15 0.03 4503
4504 1 0.01 407.65 0.01 4504
4505 8 0.05 6055.89 0.09 4505
4506 13 0.09 9676.78 0.15 4506
4507 25 0.17 20859.75 0.32 4507
4510 29 0.20 26121.67 0.40 4510
4601 16 0.11 2574.08 0.04 4601
4603 20 0.14 2562.06 0.04 4603
4606 53 0.36 4579.15 0.07 4606
4701 17 0.12 16445.29 0.25 4701
4702 1 0.01 71.65 0.00 4702
4703 13 0.09 5929.78 0.09 4703
4705 1 0.01 94.84 0.00 4705
4706 28 0.19 12969.67 0.20 4706
4707 13 0.09 9100.96 0.14 4707
4710 16 0.11 7527.85 0.12 4710
4801 13 0.09 25493.75 0.39 4801
4802 2 0.01 255.82 0.00 4802
4803 9 0.06 5994.54 0.09 4803
4804 2 0.01 942.96 0.01 4804
4805 2 0.01 106.72 0.00 4805
4806 15 0.10 6024.30 0.09 4806
4807 11 0.08 9701.58 0.15 4807
4810 13 0.09 9200.48 0.14 4810
4901 25 0.17 23867.00 0.37 4901
4903 13 0.09 4281.18 0.07 4903
4904 15 0.10 1651.74 0.03 4904
4905 2 0.01 433.98 0.01 4905
4906 15 0.10 7569.00 0.12 4906
4907 19 0.13 7136.19 0.11 4907
4910 38 0.26 3395.39 0.05 4910
5101 37 0.25 5225.61 0.08 5101
5103 23 0.16 2453.64 0.04 5103
12/27/11 96
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
5106 32 0.22 3842.00 0.06 5106
5201 15 0.10 19919.73 0.31 5201
5202 2 0.01 1334.49 0.02 5202
5203 10 0.07 9013.79 0.14 5203
5204 3 0.02 1861.40 0.03 5204
5205 1 0.01 666.00 0.01 5205
5206 6 0.04 6474.47 0.10 5206
5207 13 0.09 9226.56 0.14 5207
5210 15 0.10 9570.85 0.15 5210
5301 29 0.20 4649.77 0.07 5301
5302 1 0.01 37.25 0.00 5302
5303 22 0.15 2337.45 0.04 5303
5304 2 0.01 149.22 0.00 5304
5305 1 0.01 31.48 0.00 5305
5306 18 0.12 1544.39 0.02 5306
5307 10 0.07 917.10 0.01 5307
5310 7 0.05 951.31 0.01 5310
5501 17 0.12 8530.10 0.13 5501
5502 3 0.02 534.69 0.01 5502
5503 15 0.10 4793.37 0.07 5503
5504 3 0.02 643.50 0.01 5504
5505 1 0.01 457.56 0.01 5505
5506 13 0.09 6349.26 0.10 5506
5507 33 0.23 12461.71 0.19 5507
5510 21 0.14 7807.87 0.12 5510
5601 15 0.10 44274.96 0.68 5601
5602 1 0.01 197.96 0.00 5602
5603 3 0.02 2389.42 0.04 5603
5605 2 0.01 500.19 0.01 5605
5606 4 0.03 4399.99 0.07 5606
5607 17 0.12 11065.65 0.17 5607
5610 11 0.08 7010.54 0.11 5610
5701 16 0.11 10706.10 0.17 5701
5702 1 0.01 128.69 0.00 5702
5703 12 0.08 5715.53 0.09 5703
5704 1 0.01 322.02 0.00 5704
5705 1 0.01 44.28 0.00 5705
5706 13 0.09 2564.06 0.04 5706
5707 12 0.08 3328.12 0.05 5707
5710 5 0.03 1892.89 0.03 5710
5801 50 0.34 7229.53 0.11 5801
5803 22 0.15 4489.62 0.07 5803
5806 30 0.21 4476.45 0.07 5806
5901 26 0.18 4035.09 0.06 5901
5903 15 0.10 2279.97 0.04 5903
5906 35 0.24 2739.00 0.04 5906
6001 24 0.16 30433.13 0.47 6001
6002 6 0.04 3331.86 0.05 6002
6003 10 0.07 6067.01 0.09 6003
6005 5 0.03 3234.61 0.05 6005
6006 6 0.04 4040.39 0.06 6006
6007 9 0.06 5755.22 0.09 6007
6010 8 0.05 7531.78 0.12 6010
6101 15 0.10 14704.30 0.23 6101
6103 8 0.05 5317.94 0.08 6103
6104 1 0.01 477.19 0.01 6104
6105 3 0.02 895.93 0.01 6105
12/27/11 97
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
6106 13 0.09 5244.09 0.08 6106
6107 20 0.14 11394.78 0.18 6107
6110 12 0.08 6959.89 0.11 6110
6201 34 0.23 5394.51 0.08 6201
6203 22 0.15 2176.23 0.03 6203
6206 24 0.16 2999.12 0.05 6206
6210 1 0.01 18.07 0.00 6210
6401 19 0.13 9451.22 0.15 6401
6402 1 0.01 156.87 0.00 6402
6403 14 0.10 3665.64 0.06 6403
6405 3 0.02 1235.40 0.02 6405
6406 13 0.09 3143.23 0.05 6406
6407 8 0.05 1817.75 0.03 6407
6410 10 0.07 1921.50 0.03 6410
6601 31 0.21 17556.33 0.27 6601
6602 1 0.01 318.11 0.00 6602
6603 8 0.05 6871.29 0.11 6603
6604 20 0.14 2218.02 0.03 6604
6605 2 0.01 1182.08 0.02 6605
6606 19 0.13 11701.74 0.18 6606
6607 25 0.17 14654.47 0.23 6607
6610 32 0.22 10897.23 0.17 6610
6701 23 0.16 22536.67 0.35 6701
6702 2 0.01 361.90 0.01 6702
6703 13 0.09 4753.41 0.07 6703
6704 23 0.16 3067.01 0.05 6704
6705 5 0.03 2574.17 0.04 6705
6706 11 0.08 5764.69 0.09 6706
6707 33 0.23 18827.69 0.29 6707
6710 33 0.23 16983.27 0.26 6710
6901 43 0.29 10948.10 0.17 6901
6903 20 0.14 6732.18 0.10 6903
6906 23 0.16 5522.63 0.09 6906
6910 3 0.02 154.39 0.00 6910
7301 11 0.08 13674.25 0.21 7301
7302 1 0.01 145.23 0.00 7302
7303 8 0.05 3467.47 0.05 7303
7304 4 0.03 1214.90 0.02 7304
7305 2 0.01 381.42 0.01 7305
7306 22 0.15 7801.37 0.12 7306
7307 15 0.10 6855.00 0.11 7307
7501 17 0.12 13723.48 0.21 7501
7502 1 0.01 109.35 0.00 7502
7503 10 0.07 4098.09 0.06 7503
7505 2 0.01 229.34 0.00 7505
7506 13 0.09 4218.81 0.07 7506
7507 4 0.03 1413.96 0.02 7507
7510 12 0.08 2527.38 0.04 7510
7801 21 0.14 8896.29 0.14 7801
7802 1 0.01 94.13 0.00 7802
7803 16 0.11 4321.99 0.07 7803
7804 2 0.01 367.86 0.01 7804
7805 4 0.03 1348.92 0.02 7805
7806 16 0.11 5266.36 0.08 7806
7807 23 0.16 8991.60 0.14 7807
7810 15 0.10 5064.40 0.08 7810
7901 10 0.07 7948.70 0.12 7901
12/27/11 98
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
7902 1 0.01 57.90 0.00 7902
7903 3 0.02 1395.30 0.02 7903
7904 1 0.01 272.39 0.00 7904
7905 3 0.02 1526.55 0.02 7905
7906 15 0.10 8670.05 0.13 7906
7907 30 0.21 18092.07 0.28 7907
7910 24 0.16 13090.04 0.20 7910
8301 32 0.22 7717.21 0.12 8301
8303 25 0.17 4383.68 0.07 8303
8306 34 0.23 6449.13 0.10 8306
8401 29 0.20 3672.97 0.06 8401
8403 14 0.10 1706.52 0.03 8403
8406 26 0.18 2169.12 0.03 8406
8601 25 0.17 9193.03 0.14 8601
8602 2 0.01 190.28 0.00 8602
8603 9 0.06 2487.12 0.04 8603
8604 3 0.02 580.97 0.01 8604
8605 3 0.02 325.15 0.01 8605
8606 9 0.06 1782.99 0.03 8606
8607 17 0.12 5953.92 0.09 8607
8610 24 0.16 6750.63 0.10 8610
8901 12 0.08 17774.00 0.27 8901
8902 1 0.01 1213.67 0.02 8902
8903 4 0.03 5574.73 0.09 8903
8904 5 0.03 5023.42 0.08 8904
8905 4 0.03 1821.72 0.03 8905
8906 6 0.04 3019.04 0.05 8906
8907 22 0.15 23155.16 0.36 8907
8910 10 0.07 11414.84 0.18 8910
9001 33 0.23 4661.33 0.07 9001
9003 20 0.14 2136.17 0.03 9003
9006 27 0.18 2734.19 0.04 9006
9010 3 0.02 64.42 0.00 9010
9101 28 0.19 43545.39 0.67 9101
9102 4 0.03 1645.81 0.03 9102
9103 13 0.09 6265.21 0.10 9103
9104 18 0.12 2131.29 0.03 9104
9105 1 0.01 151.44 0.00 9105
9106 5 0.03 3322.93 0.05 9106
9107 22 0.15 7518.38 0.12 9107
9110 37 0.25 3005.15 0.05 9110
9201 28 0.19 9901.73 0.15 9201
9202 2 0.01 104.01 0.00 9202
9203 22 0.15 3627.09 0.06 9203
9204 19 0.13 715.96 0.01 9204
9205 1 0.01 18.15 0.00 9205
9206 12 0.08 2583.60 0.04 9206
9207 21 0.14 4442.54 0.07 9207
9210 44 0.30 2927.78 0.05 9210
9301 37 0.25 7739.55 0.12 9301
9303 19 0.13 3611.78 0.06 9303
9304 3 0.02 297.51 0.00 9304
9306 8 0.05 1184.56 0.02 9306
9307 7 0.05 1148.46 0.02 9307
9310 3 0.02 724.69 0.01 9310
9501 19 0.13 7053.00 0.11 9501
9502 2 0.01 170.98 0.00 9502
12/27/11 99
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
9503 7 0.05 4245.08 0.07 9503
9504 2 0.01 717.51 0.01 9504
9506 28 0.19 12134.53 0.19 9506
9507 21 0.14 9456.27 0.15 9507
9510 15 0.10 7632.52 0.12 9510
9601 39 0.27 7573.17 0.12 9601
9603 23 0.16 3671.86 0.06 9603
9606 26 0.18 4443.88 0.07 9606
9610 3 0.02 59.90 0.00 9610
9801 25 0.17 18378.77 0.28 9801
9802 2 0.01 201.36 0.00 9802
9803 15 0.10 5443.41 0.08 9803
9804 23 0.16 767.45 0.01 9804
9805 6 0.04 2040.93 0.03 9805
9806 14 0.10 4736.07 0.07 9806
9807 18 0.12 5467.00 0.08 9807
10101 24 0.16 5875.71 0.09 10101
10102 1 0.01 77.46 0.00 10102
10103 14 0.10 3649.30 0.06 10103
10105 2 0.01 143.94 0.00 10105
10106 26 0.18 2702.44 0.04 10106
10107 58 0.40 4467.37 0.07 10107
10110 38 0.26 2952.41 0.05 10110
10301 4 0.03 2201.00 0.03 10301
10302 1 0.01 128.45 0.00 10302
10303 2 0.01 704.91 0.01 10303
10304 20 0.14 1286.64 0.02 10304
10305 2 0.01 173.55 0.00 10305
10306 15 0.10 3200.94 0.05 10306
10307 66 0.45 14174.75 0.22 10307
10310 34 0.23 8523.72 0.13 10310
10401 18 0.12 15346.28 0.24 10401
10402 1 0.01 45.23 0.00 10402
10403 13 0.09 2139.81 0.03 10403
10405 2 0.01 127.49 0.00 10405
10406 11 0.08 2161.13 0.03 10406
10407 29 0.20 2992.90 0.05 10407
10410 36 0.25 2987.15 0.05 10410
10501 17 0.12 15670.00 0.24 10501
10502 1 0.01 182.48 0.00 10502
10503 6 0.04 3192.52 0.05 10503
10504 17 0.12 861.00 0.01 10504
10505 3 0.02 1107.61 0.02 10505
10506 15 0.10 6087.89 0.09 10506
10507 27 0.18 9536.76 0.15 10507
10510 37 0.25 8918.05 0.14 10510
10801 16 0.11 11625.69 0.18 10801
10802 2 0.01 258.56 0.00 10802
10803 7 0.05 3428.78 0.05 10803
10805 1 0.01 321.20 0.00 10805
10806 15 0.10 9418.45 0.15 10806
10807 13 0.09 8442.83 0.13 10807
10810 18 0.12 9344.04 0.14 10810
10901 17 0.12 9752.41 0.15 10901
10902 1 0.01 380.42 0.01 10902
10903 4 0.03 2741.76 0.04 10903
10904 14 0.10 1484.90 0.02 10904
12/27/11 100
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
10905 7 0.05 2048.92 0.03 10905
10906 18 0.12 5543.64 0.09 10906
10907 41 0.28 17305.55 0.27 10907
11001 12 0.08 18016.03 0.28 11001
11002 4 0.03 3547.64 0.05 11002
11003 8 0.05 7763.65 0.12 11003
11004 4 0.03 2735.95 0.04 11004
11005 7 0.05 4258.39 0.07 11005
11006 9 0.06 5380.11 0.08 11006
11007 18 0.12 15727.93 0.24 11007
11010 10 0.07 7736.27 0.12 11010
11201 23 0.16 6378.02 0.10 11201
11203 19 0.13 3578.99 0.06 11203
11205 2 0.01 108.77 0.00 11205
11206 16 0.11 3193.08 0.05 11206
11207 13 0.09 3006.76 0.05 11207
11210 11 0.08 2325.96 0.04 11210
11301 23 0.16 8098.00 0.12 11301
11303 15 0.10 2874.24 0.04 11303
11305 2 0.01 44.23 0.00 11305
11306 23 0.16 2955.34 0.05 11306
11307 43 0.29 2947.56 0.05 11307
11701 21 0.14 29440.66 0.45 11701
11702 2 0.01 198.12 0.00 11702
11703 13 0.09 6296.53 0.10 11703
11704 12 0.08 902.86 0.01 11704
11705 2 0.01 1053.21 0.02 11705
11706 21 0.14 15978.66 0.25 11706
11707 24 0.16 11177.28 0.17 11707
11801 32 0.22 4503.89 0.07 11801
11803 26 0.18 2717.37 0.04 11803
11806 30 0.21 3067.52 0.05 11806
11901 33 0.23 8858.64 0.14 11901
11903 19 0.13 4982.00 0.08 11903
11906 16 0.11 3083.82 0.05 11906
12001 28 0.19 14164.38 0.22 12001
12003 21 0.14 5239.63 0.08 12003
12004 16 0.11 1175.89 0.02 12004
12005 2 0.01 644.92 0.01 12005
12006 9 0.06 2700.60 0.04 12006
12007 21 0.14 10638.74 0.16 12007
12010 32 0.22 5088.35 0.08 12010
12101 11 0.08 9717.50 0.15 12101
12102 2 0.01 798.31 0.01 12102
12103 8 0.05 4034.66 0.06 12103
12104 18 0.12 1665.03 0.03 12104
12105 3 0.02 978.96 0.02 12105
12106 16 0.11 5946.04 0.09 12106
12107 25 0.17 10825.05 0.17 12107
12110 42 0.29 6684.49 0.10 12110
12201 27 0.18 3242.00 0.05 12201
12203 14 0.10 1494.18 0.02 12203
12206 22 0.15 3235.56 0.05 12206
12210 2 0.01 99.68 0.00 12210
12301 11 0.08 11723.25 0.18 12301
12302 1 0.01 253.08 0.00 12302
12303 15 0.10 9296.69 0.14 12303
12/27/11 101
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
12304 19 0.13 2570.51 0.04 12304
12305 1 0.01 220.42 0.00 12305
12306 22 0.15 12739.03 0.20 12306
12307 38 0.26 33055.57 0.51 12307
12310 34 0.23 12978.36 0.20 12310
12401 28 0.19 55938.43 0.86 12401
12403 13 0.09 11781.89 0.18 12403
12404 22 0.15 12478.46 0.19 12404
12405 4 0.03 2207.33 0.03 12405
12406 6 0.04 8361.08 0.13 12406
12407 41 0.28 47126.97 0.73 12407
12410 33 0.23 21240.45 0.33 12410
12501 20 0.14 13487.05 0.21 12501
12502 2 0.01 689.95 0.01 12502
12503 18 0.12 9516.51 0.15 12503
12504 20 0.14 1772.19 0.03 12504
12505 5 0.03 3120.12 0.05 12505
12506 23 0.16 14993.16 0.23 12506
12507 38 0.26 23574.00 0.36 12507
12601 21 0.14 13005.61 0.20 12601
12602 1 0.01 375.34 0.01 12602
12603 18 0.12 7120.72 0.11 12603
12604 22 0.15 859.94 0.01 12604
12605 7 0.05 2237.58 0.03 12605
12606 15 0.10 4847.64 0.07 12606
12607 22 0.15 7234.28 0.11 12607
12610 43 0.29 4390.73 0.07 12610
12701 17 0.12 7536.00 0.12 12701
12702 1 0.01 102.88 0.00 12702
12703 16 0.11 3648.16 0.06 12703
12704 4 0.03 587.96 0.01 12704
12705 1 0.01 129.19 0.00 12705
12706 13 0.09 2713.06 0.04 12706
12707 14 0.10 3045.68 0.05 12707
12710 13 0.09 2493.07 0.04 12710
12801 32 0.22 4068.75 0.06 12801
12803 15 0.10 1751.55 0.03 12803
12806 37 0.25 3685.91 0.06 12806
12810 2 0.01 41.81 0.00 12810
12901 51 0.35 9096.09 0.14 12901
12903 21 0.14 3148.63 0.05 12903
12906 19 0.13 3300.13 0.05 12906
13101 23 0.16 5078.05 0.08 13101
13103 13 0.09 1928.06 0.03 13103
13104 1 0.01 104.44 0.00 13104
13105 1 0.01 148.34 0.00 13105
13106 3 0.02 515.77 0.01 13106
13107 8 0.05 932.78 0.01 13107
13110 5 0.03 788.09 0.01 13110
25201 51 0.35 5905.61 0.09 25201
25203 19 0.13 2857.37 0.04 25203
25206 22 0.15 3299.75 0.05 25206
28001 28 0.19 8122.49 0.13 28001
28003 51 0.35 7130.36 0.11 28003
28006 8 0.05 1876.00 0.03 28006
28701 46 0.31 4840.15 0.07 28701
28703 33 0.23 3256.43 0.05 28703
12/27/11 102
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
28706 12 0.08 920.12 0.01 28706
30601 29 0.20 5844.55 0.09 30601
30603 11 0.08 882.63 0.01 30603
30606 20 0.14 1239.54 0.02 30606
32101 59 0.40 9207.89 0.14 32101
32103 17 0.12 1654.64 0.03 32103
32106 12 0.08 1322.62 0.02 32106
32601 56 0.38 6543.88 0.10 32601
32603 18 0.12 1761.00 0.03 32603
32606 9 0.06 1687.43 0.03 32606
33001 28 0.19 12236.63 0.19 33001
33003 25 0.17 3428.95 0.05 33003
33006 3 0.02 767.02 0.01 33006
35601 36 0.25 3611.44 0.06 35601
35603 22 0.15 1751.90 0.03 35603
35606 37 0.25 2446.00 0.04 35606
36601 22 0.15 4227.93 0.07 36601
36603 20 0.14 3155.55 0.05 36603
36606 43 0.29 6744.53 0.10 36606
37801 23 0.16 6190.98 0.10 37801
37803 29 0.20 4579.75 0.07 37803
37806 14 0.10 3169.77 0.05 37806
37810 3 0.02 150.63 0.00 37810
38501 36 0.25 7533.33 0.12 38501
38503 24 0.16 3325.92 0.05 38503
38506 14 0.10 3322.75 0.05 38506
38701 22 0.15 4941.54 0.08 38701
38703 31 0.21 3830.16 0.06 38703
38706 13 0.09 1903.33 0.03 38706
39501 32 0.22 3389.41 0.05 39501
39503 28 0.19 1653.74 0.03 39503
39506 27 0.18 2691.85 0.04 39506
50801 65 0.44 13815.23 0.21 50801
50803 7 0.05 1028.52 0.02 50803
50806 5 0.03 1092.54 0.02 50806
51101 22 0.15 7548.63 0.12 51101
51103 11 0.08 1506.78 0.02 51103
51106 21 0.14 2327.00 0.04 51106
53401 37 0.25 10896.15 0.17 53401
60601 21 0.14 22887.79 0.35 60601
60603 13 0.09 8215.17 0.13 60603
60604 1 0.01 430.31 0.01 60604
60605 1 0.01 63.41 0.00 60605
60607 4 0.03 3783.62 0.06 60607
60610 1 0.01 744.92 0.01 60610
60701 23 0.16 19541.01 0.30 60701
60702 1 0.01 116.36 0.00 60702
60703 12 0.08 5908.81 0.09 60703
60704 3 0.02 1013.36 0.02 60704
60705 2 0.01 128.81 0.00 60705
60706 1 0.01 103.31 0.00 60706
60707 3 0.02 2594.02 0.04 60707
60901 21 0.14 28603.94 0.44 60901
60902 1 0.01 114.71 0.00 60902
60903 14 0.10 9226.65 0.14 60903
60904 1 0.01 473.01 0.01 60904
60907 4 0.03 3469.46 0.05 60907
12/27/11 103
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
61201 29 0.20 35684.22 0.55 61201
61204 1 0.01 527.10 0.01 61204
61210 1 0.01 435.79 0.01 61210
61601 5 0.03 4667.00 0.07 61601
61602 1 0.01 44.90 0.00 61602
61603 3 0.02 751.34 0.01 61603
61604 1 0.01 173.82 0.00 61604
61607 19 0.13 7032.93 0.11 61607
61610 15 0.10 6010.00 0.09 61610
61701 30 0.21 9385.51 0.14 61701
61702 2 0.01 81.97 0.00 61702
61703 11 0.08 1883.00 0.03 61703
61704 1 0.01 119.97 0.00 61704
61707 4 0.03 1220.86 0.02 61707
62001 28 0.19 6897.56 0.11 62001
62003 9 0.06 1914.97 0.03 62003
62004 1 0.01 148.73 0.00 62004
62007 15 0.10 3956.11 0.06 62007
62010 2 0.01 703.46 0.01 62010
62101 17 0.12 19162.28 0.30 62101
62102 2 0.01 153.60 0.00 62102
62103 9 0.06 2651.63 0.04 62103
62104 3 0.02 629.76 0.01 62104
62106 2 0.01 91.48 0.00 62106
62107 2 0.01 857.24 0.01 62107
62201 31 0.21 22307.71 0.34 62201
62203 11 0.08 3977.37 0.06 62203
62204 3 0.02 735.92 0.01 62204
62207 1 0.01 529.11 0.01 62207
62210 1 0.01 127.36 0.00 62210
63301 34 0.23 10470.76 0.16 63301
63303 18 0.12 4230.09 0.07 63303
63304 2 0.01 248.27 0.00 63304
63306 1 0.01 32.07 0.00 63306
63307 5 0.03 1641.69 0.03 63307
63310 2 0.01 561.96 0.01 63310
63801 42 0.29 8947.25 0.14 63801
63803 1 0.01 118.33 0.00 63803
63804 3 0.02 272.19 0.00 63804
63807 5 0.03 1036.66 0.02 63807
64001 24 0.16 9174.80 0.14 64001
64002 1 0.01 49.60 0.00 64002
64003 16 0.11 4892.39 0.08 64003
64004 2 0.01 434.50 0.01 64004
64006 2 0.01 124.85 0.00 64006
64007 3 0.02 1044.57 0.02 64007
80401 28 0.19 8193.71 0.13 80401
80403 17 0.12 3566.29 0.06 80403
80501 36 0.25 5982.85 0.09 80501
80503 17 0.12 3366.92 0.05 80503
80504 1 0.01 139.37 0.00 80504
80510 1 0.01 139.65 0.00 80510
80601 40 0.27 10125.75 0.16 80601
80603 24 0.16 4387.99 0.07 80603
80606 1 0.01 50.64 0.00 80606
158703 23 0.16 2046.23 0.03 158703
158706 65 0.44 5073.42 0.08 158706
12/27/11 104
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
159201 29 0.20 16318.94 0.25 159201
159203 12 0.08 3079.90 0.05 159203
159206 3 0.02 1191.98 0.02 159206
164601 58 0.40 11514.16 0.18 164601
164606 3 0.02 64.12 0.00 164606
620101 18 0.12 1918.06 0.03 620101
620103 32 0.22 3767.54 0.06 620103
620106 44 0.30 6510.81 0.10 620106
620110 3 0.02 141.16 0.00 620110
713901 51 0.35 7386.19 0.11 713901
713903 19 0.13 1869.27 0.03 713903
713906 2 0.01 389.36 0.01 713906
714301 24 0.16 10639.44 0.16 714301
714303 22 0.15 5266.50 0.08 714303
723601 30 0.21 11209.89 0.17 723601
723603 21 0.14 3354.03 0.05 723603
723606 6 0.04 1186.27 0.02 723606
728601 14 0.10 6852.43 0.11 728601
728603 14 0.10 2248.90 0.03 728603
728606 17 0.12 2766.12 0.04 728606
728610 2 0.01 76.81 0.00 728610
729301 50 0.34 10181.02 0.16 729301
729401 24 0.16 12298.27 0.19 729401
729403 26 0.18 5476.40 0.08 729403
729406 13 0.09 3677.27 0.06 729406
729410 2 0.01 64.87 0.00 729410
990101 24 0.16 26502.72 0.41 990101
990102 9 0.06 9911.78 0.15 990102
990104 24 0.16 19899.22 0.31 990104
990105 26 0.18 22092.00 0.34 990105
990107 175 1.20 171910.00 2.65 990107
990110 148 1.01 148191.10 2.29 990110
990201 5 0.03 7285.00 0.11 990201
990202 2 0.01 1607.80 0.02 990202
990204 8 0.05 4687.20 0.07 990204
990205 5 0.03 4853.13 0.07 990205
990207 74 0.51 64186.87 0.99 990207
990210 43 0.29 40764.63 0.63 990210
990301 11 0.08 11433.00 0.18 990301
990302 5 0.03 7552.68 0.12 990302
990304 7 0.05 7770.32 0.12 990304
990305 23 0.16 23006.00 0.35 990305
990307 149 1.02 139893.00 2.16 990307
990310 129 0.88 125655.10 1.94 990310
990401 16 0.11 13970.00 0.22 990401
990402 9 0.06 8322.47 0.13 990402
990404 10 0.07 6822.53 0.11 990404
990405 23 0.16 19825.00 0.31 990405
990407 114 0.78 112223.00 1.73 990407
990410 81 0.55 80672.38 1.24 990410
990501 19 0.13 16939.00 0.26 990501
990502 5 0.03 7812.65 0.12 990502
990504 9 0.06 10676.35 0.16 990504
990505 14 0.10 10932.00 0.17 990505
990507 167 1.14 141711.00 2.19 990507
990510 87 0.59 81186.58 1.25 990510
990601 15 0.10 17078.00 0.26 990601
12/27/11 105
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
990602 8 0.05 4446.78 0.07 990602
990604 15 0.10 11794.00 0.18 990604
990605 39 0.27 38078.22 0.59 990605
990607 154 1.05 149640.20 2.31 990607
990610 142 0.97 128005.60 1.98 990610
990701 5 0.03 4221.00 0.07 990701
990704 3 0.02 1226.69 0.02 990704
990705 5 0.03 4060.52 0.06 990705
990707 52 0.36 44276.79 0.68 990707
990710 38 0.26 39726.83 0.61 990710
990801 17 0.12 16928.00 0.26 990801
990802 3 0.02 3040.51 0.05 990802
990804 18 0.12 13572.49 0.21 990804
990805 13 0.09 9424.00 0.15 990805
990807 162 1.11 136218.00 2.10 990807
990810 106 0.72 90625.05 1.40 990810
990901 3 0.02 6968.00 0.11 990901
990902 2 0.01 2084.19 0.03 990902
990904 4 0.03 2952.21 0.05 990904
990905 9 0.06 15674.61 0.24 990905
990907 43 0.29 43495.00 0.67 990907
990910 48 0.33 53407.00 0.82 990910
991001 7 0.05 5037.00 0.08 991001
991002 3 0.02 1604.41 0.02 991002
991004 2 0.01 798.86 0.01 991004
991005 16 0.11 15774.73 0.24 991005
991007 40 0.27 36929.00 0.57 991007
991010 48 0.33 55284.96 0.85 991010
991101 5 0.03 7456.00 0.12 991101
991102 5 0.03 2805.25 0.04 991102
991104 1 0.01 425.90 0.01 991104
991105 14 0.10 13969.85 0.22 991105
991107 50 0.34 44788.24 0.69 991107
991110 44 0.30 39882.00 0.62 991110
991201 10 0.07 1002.00 0.02 991201
991202 1 0.01 70.95 0.00 991202
991204 15 0.10 888.44 0.01 991204
991205 8 0.05 1057.61 0.02 991205
991207 37 0.25 3991.00 0.06 991207
991210 26 0.18 2516.00 0.04 991210
991301 21 0.14 14777.00 0.23 991301
991302 1 0.01 256.88 0.00 991302
991303 7 0.05 3066.79 0.05 991303
991304 3 0.02 934.50 0.01 991304
991305 1 0.01 143.55 0.00 991305
991307 18 0.12 11812.58 0.18 991307
991310 1 0.01 826.69 0.01 991310
991501 10 0.07 4007.00 0.06 991501
991503 7 0.05 2556.17 0.04 991503
991504 3 0.02 775.83 0.01 991504
991505 3 0.02 275.06 0.00 991505
991507 24 0.16 8114.46 0.13 991507
991510 6 0.04 2866.48 0.04 991510
999901 2 0.01 6533.42 0.10 999901
999907 5 0.03 28097.80 0.43 999907
999910 8 0.05 64965.77 1.00 999910
1002909 119 0.81 4845.00 0.07 1002909
12/27/11 106
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
1002910 106 0.72 30904.18 0.48 1002910
1003209 134 0.92 3957.00 0.06 1003209
1003210 104 0.71 10775.71 0.17 1003210
1003609 111 0.76 1007.01 0.02 1003609
1003610 105 0.72 3497.91 0.05 1003610
1007309 118 0.81 3214.94 0.05 1007309
1007310 92 0.63 5011.79 0.08 1007310
1009809 126 0.86 14555.00 0.22 1009809
1009810 86 0.59 29120.00 0.45 1009810
1012509 128 0.87 6902.00 0.11 1012509
1012510 88 0.60 16258.74 0.25 1012510
CACSMPL -
Catchment Area
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
1 84 0.57 10881.09 0.17 Redstone Ars/Ft
McClellan
3 98 0.67 23669.87 0.37 Ft. Rucker
4 102 0.70 10169.45 0.16 Maxwell AFB
5 49 0.33 18791.74 0.29 Ft Wainwright
6 70 0.48 26875.26 0.41 Elmendorf AFB/Ft
Wainwright
8 84 0.57 9382.26 0.14 Ft. Huachuca
9 94 0.64 65917.00 1.02 Luke AFB
10 101 0.69 15392.61 0.24 Davis-Monthan AFB
13 78 0.53 9474.31 0.15 Little Rock AFB
14 91 0.62 76114.54 1.17 Travis AFB
15 76 0.52 7442.46 0.11 Beale AFB
19 70 0.48 11748.00 0.18 Edwards AFB
24 129 0.88 101478.90 1.57 NH Camp Pendleton/Ft
Irwin
26 77 0.53 14501.96 0.22 Port Hueneme
28 79 0.54 19055.14 0.29 NH LeMoore
29 351 2.40 196010.60 3.02 NMC San Diego
30 42 0.29 17878.49 0.28 NH 29-Palms
32 222 1.52 36584.38 0.56 Evans ACH-Ft. Carson
33 238 1.63 39735.24 0.61 USAF Acad. Hospital
35 72 0.49 20385.12 0.31 NACC Groton
36 188 1.29 8943.83 0.14 Dover AFB
37 155 1.06 54509.42 0.84 Walter Reed AMC
38 162 1.11 65655.24 1.01 NH Pensacola
39 102 0.70 113834.60 1.76 NH Jacksonville/Key
West
42 145 0.99 50796.68 0.78 Eglin AFB
43 74 0.51 9918.45 0.15 Tyndall AFB
45 86 0.59 72415.09 1.12 MacDill AFB
46 89 0.61 9715.29 0.15 Patrick AFB
47 89 0.61 52140.04 0.80 Ft. Gordon
48 67 0.46 57720.16 0.89 Ft. Benning
49 127 0.87 48334.49 0.75 Ft. Stewart
51 92 0.63 11521.25 0.18 Robins AFB
52 65 0.44 58067.30 0.90 Tripler AMC
12/27/11 107
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
53 90 0.62 10617.97 0.16 Mountain Home AFB
55 106 0.72 41578.07 0.64 Scott AFB
56 53 0.36 69838.71 1.08 NH Great Lakes
57 61 0.42 24701.70 0.38 Ft. Riley
58 102 0.70 16195.59 0.25 Ft. Leavenworth
59 76 0.52 9054.06 0.14 McConnell AFB
60 68 0.46 60394.00 0.93 Ft. Campbell
61 72 0.49 44994.12 0.69 Ft. Knox
62 81 0.55 10587.92 0.16 Barksdale AFB
64 68 0.46 21391.61 0.33 Ft. Polk
66 138 0.94 65399.28 1.01 Andrews AFB
67 143 0.98 74868.83 1.16 NNMC Bethesda
69 89 0.61 23357.30 0.36 Ft. Meade
73 272 1.86 41739.14 0.64 Keesler AFB
75 59 0.40 26320.39 0.41 Ft. Leonard Wood
78 98 0.67 34351.54 0.53 Offutt AFB
79 87 0.59 51053.00 0.79 Nellis AFB
83 91 0.62 18550.02 0.29 Kirtland AFB
84 69 0.47 7548.62 0.12 Holloman AFB
86 92 0.63 27264.09 0.42 West Point
89 64 0.44 68996.59 1.06 Ft. Bragg
90 83 0.57 9596.11 0.15 Seymour Johnson AFB
91 128 0.87 67585.60 1.04 NH Camp Lejeune
92 149 1.02 24320.85 0.38 NH Cherry Point
93 77 0.53 14706.55 0.23 Grand Forks AFB
95 94 0.64 41409.89 0.64 Wright Patterson AFB
96 91 0.62 15748.81 0.24 Tinker AFB
98 129 0.88 41957.94 0.65 Ft. Sill
101 163 1.11 19868.63 0.31 Shaw AFB
103 144 0.98 30393.96 0.47 NH Charleston
104 110 0.75 25799.99 0.40 NH Beaufort
105 123 0.84 45556.32 0.70 Ft. Jackson
108 72 0.49 42839.55 0.66 Ft. Bliss
109 190 1.30 59685.08 0.92 Brooke AMC-Ft. Sam
Houston
110 72 0.49 65165.97 1.01 Ft. Hood
112 84 0.57 18591.59 0.29 Dyess AFB
113 117 0.80 18859.30 0.29 Laughlin AFB/Sheppard
AFB
117 182 1.24 81343.69 1.26 Lackland AFB
118 88 0.60 10288.77 0.16 NH Corpus Christi
119 68 0.46 16924.45 0.26 Hill AFB
120 129 0.88 39652.51 0.61 Langley AFB
121 125 0.85 40650.04 0.63 Ft. Eustis
122 65 0.44 8071.41 0.12 Ft. Lee
123 141 0.96 82836.91 1.28 Ft. Belvoir
124 147 1.00 159134.60 2.46 NMC Portsmouth
125 340 2.32 89944.20 1.39 Madigan AMC-Ft. Lewis
126 149 1.02 40071.83 0.62 NH Bremerton
127 79 0.54 20256.00 0.31 NH Oak Harbor
128 86 0.59 9548.02 0.15 Fairchild AFB
129 91 0.62 15544.86 0.24 F.E. Warren AFB
131 54 0.37 9495.54 0.15 Ft. Irwin
252 92 0.63 12062.73 0.19 Peterson AFB
280 87 0.59 17128.85 0.26 Pearl Harbor
287 91 0.62 9016.70 0.14 NMCL Pearl
Harbor/Hickam
12/27/11 108
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
306 60 0.41 7966.72 0.12 NMCL Annapolis
321 88 0.60 12185.14 0.19 NACC Portsmouth New
Hamp.
326 83 0.57 9992.31 0.15 McGuire AFB/Ft. Dix
330 56 0.38 16432.59 0.25 Ft. Drum
356 95 0.65 7809.34 0.12 Charleston AFB
366 86 0.59 14243.52 0.22 Randolph AFB
378 69 0.47 14091.13 0.22 Ft. Ritchie
385 74 0.51 14181.99 0.22 NMCL Quantico
387 66 0.45 10675.04 0.16 Virginia Beach
395 87 0.59 7735.00 0.12 McChord AFB
508 77 0.53 15936.30 0.25 Norfolk
511 54 0.37 11382.41 0.18 Goose Creek
534 37 0.25 10896.15 0.17 Schofield Barracks
606 41 0.28 36125.23 0.56 Landstuhl AMC/other
German
607 45 0.31 29405.69 0.45 Landstuhl
609 41 0.28 41887.77 0.65 Wuerzburg
612 31 0.21 36647.10 0.57 Seoul
616 44 0.30 18680.00 0.29 NH Guantanamo/
Roosevelt Rds
617 48 0.33 12691.31 0.20 Naples
620 55 0.38 13620.83 0.21 Agana
621 35 0.24 23546.00 0.36 Okinawa
622 47 0.32 27677.47 0.43 NH Yokosuka/other Asian
633 62 0.42 17184.83 0.27 RAF Lakenheath/other
Europe
638 51 0.35 10374.43 0.16 Kunsan AB/Osan AB
640 48 0.33 15720.72 0.24 Yokota AB
804 45 0.31 11760.00 0.18 Kadena AFB
805 55 0.38 9628.79 0.15 Spangdahlem AB
806 65 0.44 14564.38 0.22 Spangdahlem/Ramstein
AFB
1587 88 0.60 7119.65 0.11 TMC McWethy-Ft. Sam
Houston
1592 44 0.30 20590.82 0.32 Monroe Consolidated-Ft.
Hood
1646 61 0.42 11578.27 0.18 TMC-1-Ft. Lewis
6201 97 0.66 12337.58 0.19 Woodbridge
7139 72 0.49 9644.82 0.15 Hurlburt Field
7143 46 0.31 15905.94 0.25 AHC Robinson-Ft. Bragg
7236 57 0.39 15750.18 0.24 Bennett Fam Care Clinic-
Hood
7286 47 0.32 11944.27 0.18 Joel AHC
7293 50 0.34 10181.02 0.16 TMC 10-Ft. Carson
7294 65 0.44 21516.81 0.33 Clark Health Clinic-Ft.
Bragg
9901 515 3.52 402041.00 6.20 Out/Area-Reg 1
9902 137 0.94 123384.60 1.90 Out/Area-Reg 2
9903 324 2.21 315310.10 4.87 Out/Area-Reg 3
9904 253 1.73 241835.40 3.73 Out/Area-Reg 4
9905 301 2.06 269257.60 4.15 Out/Area-Reg 5
9906 373 2.55 349042.80 5.39 Out/Area-Reg 6
9907 103 0.70 93511.83 1.44 Out/Area-Reg 7
9908 321 2.19 270015.30 4.17 Out/Area-Reg 8
9909 109 0.75 124581.00 1.92 Out/Area-Reg 9
9910 116 0.79 115429.00 1.78 Out/Area-Reg 10
12/27/11 109
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
9911 121 0.83 109696.80 1.69 Out/Area-Reg 11
9912 97 0.66 9526.00 0.15 Out/Area-Reg 12
9913 52 0.36 31818.00 0.49 Out/Area-Europe
9915 53 0.36 18595.00 0.29 Out/Area-Latin America &
Can
9999 15 0.10 99597.00 1.54 Missing
ENBGSMPL -
Enrollment by beneficiary category
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
1 3501 23.93 1685116.00 26.00 Active duty
2 144 0.98 77847.53 1.20 Active duty fam,Prime,civ
PCM
3 1911 13.06 483857.10 7.47 Active duty fam,Prime,mil
PCM
4 661 4.52 162053.60 2.50 Active duty fam,non-
enrollee
5 378 2.58 259122.10 4.00 Retired, 19
DAGEQY -
Age (As of 31 July 2000)
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
018 -- 034 3553 24.29 1422047.00 21.94 018--034
035 -- 044 2968 20.29 1176405.00 18.15 035--044
045 -- 054 2184 14.93 1051868.00 16.23 045--054
055 -- 064 2467 16.86 1327178.00 20.48 055--064
065 -- 074 2324 15.89 963590.20 14.87 065--074
075 -- 095 1133 7.74 540083.80 8.33 075 yrs and older
PCM -
Primary Manager Code (Civilian or Military)
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
6268 42.85 3749663.00 57.85 Missing/Unknown
CIV 668 4.57 430220.40 6.64 TRICARE enrollee w/civ
PCM
MTF 7693 52.59 2301289.00 35.51 TRICARE enrollee w/mil
PCM
12/27/11 117
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
TSPSITE -
TSP Site (regardless of age)
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
11836 80.91 5816191.00 89.74 Does not live in a TSP
Catchment Area
COSPRINGS 591 4.04 93424.35 1.44 Fort Evans-Carson ACH
& USAF Academy
DOVER 305 2.08 21819.31 0.34 Dover AFB
KEESLER 276 1.89 44332.53 0.68 Keesler AFB
MADIGAN 481 3.29 106521.00 1.64 Fort Lewis-Madigan AMC
REYSHEP 233 1.59 55537.14 0.86 Fort Sill-Reynolds ACH &
Sheppart AFB
SANANTONIO 546 3.73 157068.40 2.42 Fort Sam Houston-
Brooke/Lackland-Wilford
SANDIEGO 361 2.47 186279.50 2.87 NMC San Diego
DBENCAT -
Beneficiary Category
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
ACT 3267 22.33 1551866.00 23.94 Active Duty
DA 2512 17.17 640480.10 9.88 Dependent of Active Duty
DGR 204 1.39 83278.15 1.28 Dependent of
Guard/Reserve
DR 3338 22.82 1629982.00 25.15 Dependent of Retiree
DS 724 4.95 332122.80 5.12 Survivor
GRD 234 1.60 133249.80 2.06 Guard/Reserve
OTH 14 0.10 5366.39 0.08 Other
RET 4336 29.64 2104827.00 32.48 Retiree
12/27/11 118
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
DMEDELG -
Medical Privilege Code
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
1 3559 24.33 1705832.00 26.32 Direct Care Only
2 7598 51.94 3239411.00 49.98 Direct Care and
CHAMPUS
4 5 0.03 4220.84 0.07 Transitional Direct Care
Only
5 6 0.04 1093.62 0.02 Transitional Direct Care
and CHAMPUS
7 3314 22.65 1448098.00 22.34 Direct Care and Medicare
U 147 1.00 82518.42 1.27 Unknown
DSPONSVC -
Derived Sponsor Branch of Service
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
A 4570 31.24 2222620.00 34.29 Army
C 275 1.88 128313.90 1.98 Coast Guard
F 5799 39.64 2060353.00 31.79 Air Force
M 855 5.84 430594.90 6.64 Marine Corps
N 2629 17.97 1384865.00 21.37 Navy
V 450 3.08 229456.20 3.54 Navy Afloat
X 51 0.35 24969.18 0.39 Other
MBRRELCD -
Member Relationship Code
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
A 7845 53.63 3791508.00 58.50 Self
B 5972 40.82 2339330.00 36.09 Spouse
C 337 2.30 139014.90 2.14 Child or stepchild
E 2 0.01 1301.77 0.02 Ward (court ordered)
F 46 0.31 12764.62 0.20 Dependent parent or
stepparent
G 342 2.34 167052.90 2.58 Surviving spouse
H 73 0.50 22628.62 0.35 Former spouse
(20/20/20)
I 12 0.08 7572.06 0.12 Former spouse
(20/20/15)
MEDTYPE -
12/27/11 119
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
Medicare Type
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
11085 75.77 4927965.00 76.04 Neither A nor B apply
A 3409 23.30 1488125.00 22.96 Eligible for Medicare A
B 135 0.92 65083.78 1.00 Eligible for Medicare B
PATCAT -
Aggregated Beneficiary Category
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
ACTDTY 3501 23.93 1685116.00 26.00 Active Duty and
Guard/Reserve
DEPACT 2716 18.57 723758.20 11.17 Dependent of Active Duty
& Guard/Reserve
NADD65+ 3443 23.54 1499417.00 23.13 Retiree/Depend of
Retir/Surviv/Other 65+
NADD$500
2 8265 56.50 3331046.00 51.40 Out-of-pocket costs
10th to 25th Percentile
46.013 -- 97.529 3763 25.72 830333.90 12.81 >25th to 50th Percentile
97.786 -- 281.400 3537 24.18 1814093.00 27.99 >50th to 75th Percentile
281.704 -- 490.853 2395 16.37 2129566.00 32.86 >75th to 90th Percentile
510.933 -- 708.050 1273 8.70 1279479.00 19.74 >90th to 100th Percentile
ADJ_CELL -
Adjusted STRATUM cell
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
101 23 0.16 3899.25 0.06 101
103 21 0.14 1707.63 0.03 103
106 40 0.27 5274.21 0.08 106
301 15 0.10 4413.24 0.07 301
302 22 0.15 3354.55 0.05 302
305 13 0.09 2703.23 0.04 305
307 27 0.18 7941.83 0.12 307
310 21 0.14 5257.01 0.08 310
401 35 0.24 3883.03 0.06 401
403 31 0.21 2690.78 0.04 403
406 36 0.25 3595.64 0.06 406
501 34 0.23 11248.26 0.17 501
502 15 0.10 7543.48 0.12 502
601 17 0.12 7848.80 0.12 601
602 18 0.12 7330.21 0.11 602
606 13 0.09 5851.37 0.09 606
607 22 0.15 5844.88 0.09 607
801 30 0.21 3916.69 0.06 801
803 21 0.14 2372.21 0.04 803
806 33 0.23 3093.36 0.05 806
901 9 0.06 8448.16 0.13 901
902 17 0.12 8574.85 0.13 902
906 12 0.08 6569.00 0.10 906
907 26 0.18 19355.99 0.30 907
910 30 0.21 22969.01 0.35 910
1001 42 0.29 6907.73 0.11 1001
1003 18 0.12 3062.16 0.05 1003
1006 41 0.28 5422.72 0.08 1006
1301 40 0.27 4622.58 0.07 1301
1303 19 0.13 2252.33 0.03 1303
1306 19 0.13 2599.39 0.04 1306
1401 13 0.09 10771.35 0.17 1401
1402 25 0.17 22493.19 0.35 1402
12/27/11 197
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
1407 20 0.14 17579.49 0.27 1407
1410 33 0.23 25270.51 0.39 1410
1501 40 0.27 4156.04 0.06 1501
1503 21 0.14 2307.09 0.04 1503
1506 15 0.10 979.33 0.02 1506
1901 35 0.24 6210.10 0.10 1901
1903 25 0.17 2995.90 0.05 1903
1906 10 0.07 2542.00 0.04 1906
2401 26 0.18 45464.76 0.70 2401
2402 15 0.10 9913.97 0.15 2402
2404 23 0.16 2139.22 0.03 2404
2405 10 0.07 9546.35 0.15 2405
2407 20 0.14 14398.70 0.22 2407
2410 35 0.24 20015.93 0.31 2410
2601 37 0.25 6798.39 0.10 2601
2603 23 0.16 5175.79 0.08 2603
2606 17 0.12 2527.78 0.04 2606
2801 19 0.13 6520.87 0.10 2801
2802 19 0.13 3078.13 0.05 2802
2805 16 0.11 2871.00 0.04 2805
2807 13 0.09 3934.06 0.06 2807
2810 12 0.08 2651.08 0.04 2810
2901 36 0.25 78955.24 1.22 2901
2902 18 0.12 17028.28 0.26 2902
2904 22 0.15 5237.23 0.08 2904
2905 17 0.12 21877.83 0.34 2905
2907 33 0.23 37162.87 0.57 2907
3001 6 0.04 9767.21 0.15 3001
3005 26 0.18 6451.38 0.10 3005
3010 10 0.07 1659.91 0.03 3010
3201 11 0.08 5983.28 0.09 3201
3202 21 0.14 7552.52 0.12 3202
3204 16 0.11 1153.25 0.02 3204
3205 27 0.18 7424.40 0.11 3205
3207 20 0.14 7461.00 0.12 3207
3301 12 0.08 8234.45 0.13 3301
3302 18 0.12 3372.62 0.05 3302
3304 26 0.18 701.41 0.01 3304
3305 32 0.22 8472.20 0.13 3305
3307 41 0.28 11439.00 0.18 3307
3501 43 0.29 13687.99 0.21 3501
3503 16 0.11 3436.38 0.05 3503
3506 13 0.09 3260.75 0.05 3506
3601 31 0.21 3784.18 0.06 3601
3603 21 0.14 1601.29 0.02 3603
3606 29 0.20 2587.65 0.04 3606
3701 42 0.29 16500.83 0.25 3701
3702 30 0.21 4753.36 0.07 3702
3705 12 0.08 5396.69 0.08 3705
3707 35 0.24 13057.88 0.20 3707
3710 36 0.25 14800.66 0.23 3710
3801 30 0.21 23720.58 0.37 3801
3802 18 0.12 4994.44 0.08 3802
3804 20 0.14 959.98 0.01 3804
3805 20 0.14 9273.00 0.14 3805
3807 30 0.21 14603.65 0.23 3807
3810 44 0.30 12103.59 0.19 3810
12/27/11 198
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
3901 24 0.16 36855.84 0.57 3901
3902 18 0.12 14380.99 0.22 3902
3905 17 0.12 17978.87 0.28 3905
3907 27 0.18 28141.06 0.43 3907
3910 16 0.11 16477.86 0.25 3910
4201 14 0.10 8747.93 0.13 4201
4202 27 0.18 7039.06 0.11 4202
4205 20 0.14 8822.01 0.14 4205
4207 41 0.28 15081.23 0.23 4207
4210 43 0.29 11106.45 0.17 4210
4301 22 0.15 3445.00 0.05 4301
4303 21 0.14 2373.22 0.04 4303
4306 31 0.21 4100.23 0.06 4306
4501 6 0.04 6729.37 0.10 4501
4505 26 0.18 18704.30 0.29 4505
4507 25 0.17 20859.75 0.32 4507
4510 29 0.20 26121.67 0.40 4510
4601 16 0.11 2574.08 0.04 4601
4603 20 0.14 2562.06 0.04 4603
4606 53 0.36 4579.15 0.07 4606
4701 17 0.12 16445.29 0.25 4701
4702 14 0.10 6001.43 0.09 4702
4705 29 0.20 13064.51 0.20 4705
4707 13 0.09 9100.96 0.14 4707
4710 16 0.11 7527.85 0.12 4710
4801 13 0.09 25493.75 0.39 4801
4802 13 0.09 7193.32 0.11 4802
4805 17 0.12 6131.02 0.09 4805
4807 11 0.08 9701.58 0.15 4807
4810 13 0.09 9200.48 0.14 4810
4901 25 0.17 23867.00 0.37 4901
4904 15 0.10 1651.74 0.03 4904
4905 30 0.21 12284.16 0.19 4905
4907 19 0.13 7136.19 0.11 4907
4910 38 0.26 3395.39 0.05 4910
5101 37 0.25 5225.61 0.08 5101
5103 23 0.16 2453.64 0.04 5103
5106 32 0.22 3842.00 0.06 5106
5201 15 0.10 19919.73 0.31 5201
5202 22 0.15 19350.16 0.30 5202
5207 13 0.09 9226.56 0.14 5207
5210 15 0.10 9570.85 0.15 5210
5301 29 0.20 4649.77 0.07 5301
5302 25 0.17 2523.92 0.04 5302
5305 19 0.13 1575.87 0.02 5305
5307 17 0.12 1868.41 0.03 5307
5501 17 0.12 8530.10 0.13 5501
5502 21 0.14 5971.56 0.09 5502
5505 14 0.10 6806.82 0.11 5505
5507 33 0.23 12461.71 0.19 5507
5510 21 0.14 7807.87 0.12 5510
5601 15 0.10 44274.96 0.68 5601
5605 10 0.07 7487.56 0.12 5605
5607 17 0.12 11065.65 0.17 5607
5610 11 0.08 7010.54 0.11 5610
5701 16 0.11 10706.10 0.17 5701
5702 14 0.10 6166.25 0.10 5702
12/27/11 199
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
5705 14 0.10 2608.34 0.04 5705
5707 17 0.12 5221.01 0.08 5707
5801 50 0.34 7229.53 0.11 5801
5803 22 0.15 4489.62 0.07 5803
5806 30 0.21 4476.45 0.07 5806
5901 26 0.18 4035.09 0.06 5901
5903 15 0.10 2279.97 0.04 5903
5906 35 0.24 2739.00 0.04 5906
6001 24 0.16 30433.13 0.47 6001
6002 16 0.11 9398.87 0.15 6002
6006 28 0.19 20562.00 0.32 6006
6101 15 0.10 14704.30 0.23 6101
6102 9 0.06 5795.12 0.09 6102
6105 16 0.11 6140.02 0.09 6105
6107 20 0.14 11394.78 0.18 6107
6110 12 0.08 6959.89 0.11 6110
6201 34 0.23 5394.51 0.08 6201
6203 22 0.15 2176.23 0.03 6203
6206 25 0.17 3017.19 0.05 6206
6401 19 0.13 9451.22 0.15 6401
6402 18 0.12 5057.91 0.08 6402
6406 21 0.14 4960.98 0.08 6406
6410 10 0.07 1921.50 0.03 6410
6601 31 0.21 17556.33 0.27 6601
6602 29 0.20 9407.42 0.15 6602
6605 21 0.14 12883.82 0.20 6605
6607 25 0.17 14654.47 0.23 6607
6610 32 0.22 10897.23 0.17 6610
6701 23 0.16 22536.67 0.35 6701
6702 15 0.10 5115.31 0.08 6702
6704 23 0.16 3067.01 0.05 6704
6705 16 0.11 8338.87 0.13 6705
6707 33 0.23 18827.69 0.29 6707
6710 33 0.23 16983.27 0.26 6710
6901 43 0.29 10948.10 0.17 6901
6903 20 0.14 6732.18 0.10 6903
6906 26 0.18 5677.02 0.09 6906
7301 11 0.08 13674.25 0.21 7301
7302 13 0.09 4827.60 0.07 7302
7305 24 0.16 8182.79 0.13 7305
7307 15 0.10 6855.00 0.11 7307
7501 17 0.12 13723.48 0.21 7501
7502 11 0.08 4207.44 0.06 7502
7505 19 0.13 5862.10 0.09 7505
7510 12 0.08 2527.38 0.04 7510
7801 21 0.14 8896.29 0.14 7801
7802 19 0.13 4783.98 0.07 7802
7805 20 0.14 6615.27 0.10 7805
7807 23 0.16 8991.60 0.14 7807
7810 15 0.10 5064.40 0.08 7810
7901 10 0.07 7948.70 0.12 7901
7905 23 0.16 11922.19 0.18 7905
7907 30 0.21 18092.07 0.28 7907
7910 24 0.16 13090.04 0.20 7910
8301 32 0.22 7717.21 0.12 8301
8303 25 0.17 4383.68 0.07 8303
8306 34 0.23 6449.13 0.10 8306
12/27/11 200
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
8401 29 0.20 3672.97 0.06 8401
8403 14 0.10 1706.52 0.03 8403
8406 26 0.18 2169.12 0.03 8406
8601 25 0.17 9193.03 0.14 8601
8602 14 0.10 3258.36 0.05 8602
8605 12 0.08 2108.14 0.03 8605
8607 17 0.12 5953.92 0.09 8607
8610 24 0.16 6750.63 0.10 8610
8901 12 0.08 17774.00 0.27 8901
8902 10 0.07 11811.82 0.18 8902
8905 10 0.07 4840.77 0.07 8905
8907 22 0.15 23155.16 0.36 8907
8910 10 0.07 11414.84 0.18 8910
9001 33 0.23 4661.33 0.07 9001
9003 20 0.14 2136.17 0.03 9003
9006 30 0.21 2798.61 0.04 9006
9101 28 0.19 43545.39 0.67 9101
9102 17 0.12 7911.02 0.12 9102
9104 18 0.12 2131.29 0.03 9104
9105 28 0.19 10992.74 0.17 9105
9110 37 0.25 3005.15 0.05 9110
9201 28 0.19 9901.73 0.15 9201
9202 24 0.16 3731.10 0.06 9202
9204 19 0.13 715.96 0.01 9204
9205 13 0.09 2601.75 0.04 9205
9207 21 0.14 4442.54 0.07 9207
9210 44 0.30 2927.78 0.05 9210
9301 37 0.25 7739.55 0.12 9301
9303 22 0.15 3909.29 0.06 9303
9306 18 0.12 3057.71 0.05 9306
9501 19 0.13 7053.00 0.11 9501
9502 11 0.08 5133.57 0.08 9502
9505 28 0.19 12134.53 0.19 9505
9507 21 0.14 9456.27 0.15 9507
9510 15 0.10 7632.52 0.12 9510
9601 39 0.27 7573.17 0.12 9601
9603 23 0.16 3671.86 0.06 9603
9606 29 0.20 4503.78 0.07 9606
9801 25 0.17 18378.77 0.28 9801
9802 17 0.12 5644.77 0.09 9802
9804 23 0.16 767.45 0.01 9804
9805 20 0.14 6777.00 0.10 9805
9807 18 0.12 5467.00 0.08 9807
10101 24 0.16 5875.71 0.09 10101
10102 15 0.10 3726.76 0.06 10102
10105 28 0.19 2846.38 0.04 10105
10107 58 0.40 4467.37 0.07 10107
10110 38 0.26 2952.41 0.05 10110
10301 4 0.03 2201.00 0.03 10301
10302 23 0.16 2120.00 0.03 10302
10305 17 0.12 3374.49 0.05 10305
10307 66 0.45 14174.75 0.22 10307
10310 34 0.23 8523.72 0.13 10310
10401 18 0.12 15346.28 0.24 10401
10402 14 0.10 2185.04 0.03 10402
10405 13 0.09 2288.62 0.04 10405
10407 29 0.20 2992.90 0.05 10407
12/27/11 201
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
10410 36 0.25 2987.15 0.05 10410
10501 17 0.12 15670.00 0.24 10501
10502 7 0.05 3375.00 0.05 10502
10504 17 0.12 861.00 0.01 10504
10505 18 0.12 7195.51 0.11 10505
10507 27 0.18 9536.76 0.15 10507
10510 37 0.25 8918.05 0.14 10510
10801 16 0.11 11625.69 0.18 10801
10805 25 0.17 13426.99 0.21 10805
10807 13 0.09 8442.83 0.13 10807
10810 18 0.12 9344.04 0.14 10810
10901 17 0.12 9752.41 0.15 10901
10902 19 0.13 4607.08 0.07 10902
10905 25 0.17 7592.56 0.12 10905
10907 41 0.28 17305.55 0.27 10907
11001 12 0.08 18016.03 0.28 11001
11002 16 0.11 14047.24 0.22 11002
11005 16 0.11 9638.50 0.15 11005
11007 18 0.12 15727.93 0.24 11007
11010 10 0.07 7736.27 0.12 11010
11201 23 0.16 6378.02 0.10 11201
11203 19 0.13 3578.99 0.06 11203
11205 18 0.12 3301.86 0.05 11205
11207 13 0.09 3006.76 0.05 11207
11210 11 0.08 2325.96 0.04 11210
11301 23 0.16 8098.00 0.12 11301
11303 15 0.10 2874.24 0.04 11303
11305 25 0.17 2999.56 0.05 11305
11307 43 0.29 2947.56 0.05 11307
11701 21 0.14 29440.66 0.45 11701
11702 15 0.10 6494.65 0.10 11702
11704 12 0.08 902.86 0.01 11704
11705 23 0.16 17031.87 0.26 11705
11707 24 0.16 11177.28 0.17 11707
11801 32 0.22 4503.89 0.07 11801
11803 26 0.18 2717.37 0.04 11803
11806 30 0.21 3067.52 0.05 11806
11901 33 0.23 8858.64 0.14 11901
11903 19 0.13 4982.00 0.08 11903
11906 16 0.11 3083.82 0.05 11906
12001 28 0.19 14164.38 0.22 12001
12002 21 0.14 5239.63 0.08 12002
12004 16 0.11 1175.89 0.02 12004
12005 11 0.08 3345.52 0.05 12005
12007 21 0.14 10638.74 0.16 12007
12010 32 0.22 5088.35 0.08 12010
12101 11 0.08 9717.50 0.15 12101
12104 28 0.19 6498.00 0.10 12104
12105 19 0.13 6925.00 0.11 12105
12107 25 0.17 10825.05 0.17 12107
12110 42 0.29 6684.49 0.10 12110
12201 27 0.18 3242.00 0.05 12201
12206 38 0.26 4829.41 0.07 12206
12301 11 0.08 11723.25 0.18 12301
12302 16 0.11 9549.77 0.15 12302
12305 23 0.16 12959.45 0.20 12305
12307 57 0.39 35626.08 0.55 12307
12/27/11 202
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
12310 34 0.23 12978.36 0.20 12310
12401 28 0.19 55938.43 0.86 12401
12402 13 0.09 11781.89 0.18 12402
12404 22 0.15 12478.46 0.19 12404
12405 10 0.07 10568.41 0.16 12405
12407 41 0.28 47126.97 0.73 12407
12410 33 0.23 21240.45 0.33 12410
12501 20 0.14 13487.05 0.21 12501
12502 20 0.14 10206.46 0.16 12502
12504 20 0.14 1772.19 0.03 12504
12505 28 0.19 18113.28 0.28 12505
12507 38 0.26 23574.00 0.36 12507
12601 21 0.14 13005.61 0.20 12601
12602 19 0.13 7496.06 0.12 12602
12604 22 0.15 859.94 0.01 12604
12605 22 0.15 7085.22 0.11 12605
12607 22 0.15 7234.28 0.11 12607
12610 43 0.29 4390.73 0.07 12610
12701 17 0.12 7536.00 0.12 12701
12702 21 0.14 4339.00 0.07 12702
12705 14 0.10 2842.25 0.04 12705
12707 14 0.10 3045.68 0.05 12707
12710 13 0.09 2493.07 0.04 12710
12801 32 0.22 4068.75 0.06 12801
12803 15 0.10 1751.55 0.03 12803
12806 39 0.27 3727.72 0.06 12806
12901 51 0.35 9096.09 0.14 12901
12903 21 0.14 3148.63 0.05 12903
12906 19 0.13 3300.13 0.05 12906
13101 23 0.16 5078.05 0.08 13101
13102 31 0.21 4417.50 0.07 13102
25201 51 0.35 5905.61 0.09 25201
25203 19 0.13 2857.37 0.04 25203
25206 22 0.15 3299.75 0.05 25206
28001 28 0.19 8122.49 0.13 28001
28003 51 0.35 7130.36 0.11 28003
28006 8 0.05 1876.00 0.03 28006
28701 46 0.31 4840.15 0.07 28701
28703 33 0.23 3256.43 0.05 28703
28706 12 0.08 920.12 0.01 28706
30601 29 0.20 5844.55 0.09 30601
30603 11 0.08 882.63 0.01 30603
30606 20 0.14 1239.54 0.02 30606
32101 59 0.40 9207.89 0.14 32101
32103 17 0.12 1654.64 0.03 32103
32106 12 0.08 1322.62 0.02 32106
32601 56 0.38 6543.88 0.10 32601
32603 27 0.18 3448.43 0.05 32603
33001 28 0.19 12236.63 0.19 33001
33003 28 0.19 4195.96 0.06 33003
35601 36 0.25 3611.44 0.06 35601
35603 22 0.15 1751.90 0.03 35603
35606 37 0.25 2446.00 0.04 35606
36601 22 0.15 4227.93 0.07 36601
36603 20 0.14 3155.55 0.05 36603
36606 43 0.29 6744.53 0.10 36606
37801 23 0.16 6190.98 0.10 37801
12/27/11 203
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
37803 29 0.20 4579.75 0.07 37803
37806 17 0.12 3320.40 0.05 37806
38501 36 0.25 7533.33 0.12 38501
38503 24 0.16 3325.92 0.05 38503
38506 14 0.10 3322.75 0.05 38506
38701 22 0.15 4941.54 0.08 38701
38703 31 0.21 3830.16 0.06 38703
38706 13 0.09 1903.33 0.03 38706
39501 32 0.22 3389.41 0.05 39501
39503 28 0.19 1653.74 0.03 39503
39506 27 0.18 2691.85 0.04 39506
50801 65 0.44 13815.23 0.21 50801
50803 12 0.08 2121.07 0.03 50803
51101 22 0.15 7548.63 0.12 51101
51103 11 0.08 1506.78 0.02 51103
51106 21 0.14 2327.00 0.04 51106
53401 37 0.25 10896.15 0.17 53401
60601 21 0.14 22887.79 0.35 60601
60602 20 0.14 13237.43 0.20 60602
60701 23 0.16 19541.01 0.30 60701
60702 22 0.15 9864.68 0.15 60702
60901 21 0.14 28603.94 0.44 60901
60902 20 0.14 13283.84 0.20 60902
61201 31 0.21 36647.10 0.57 61201
61601 5 0.03 4667.00 0.07 61601
61607 24 0.16 8003.00 0.12 61607
61610 15 0.10 6010.00 0.09 61610
61701 30 0.21 9385.51 0.14 61701
61702 18 0.12 3305.81 0.05 61702
62001 28 0.19 6897.56 0.11 62001
62006 27 0.18 6723.27 0.10 62006
62101 17 0.12 19162.28 0.30 62101
62102 18 0.12 4383.72 0.07 62102
62201 31 0.21 22307.71 0.34 62201
62202 16 0.11 5369.76 0.08 62202
63301 34 0.23 10470.76 0.16 63301
63303 28 0.19 6714.07 0.10 63303
63801 42 0.29 8947.25 0.14 63801
63803 9 0.06 1427.18 0.02 63803
64001 24 0.16 9174.80 0.14 64001
64002 24 0.16 6545.92 0.10 64002
80401 28 0.19 8193.71 0.13 80401
80403 17 0.12 3566.29 0.06 80403
80501 36 0.25 5982.85 0.09 80501
80503 19 0.13 3645.94 0.06 80503
80601 40 0.27 10125.75 0.16 80601
80603 25 0.17 4438.63 0.07 80603
158703 23 0.16 2046.23 0.03 158703
158706 65 0.44 5073.42 0.08 158706
159201 29 0.20 16318.94 0.25 159201
159203 15 0.10 4271.87 0.07 159203
164601 58 0.40 11514.16 0.18 164601
164606 3 0.02 64.12 0.00 164606
620101 18 0.12 1918.06 0.03 620101
620103 32 0.22 3767.54 0.06 620103
620106 47 0.32 6651.97 0.10 620106
713901 51 0.35 7386.19 0.11 713901
12/27/11 204
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
713903 21 0.14 2258.63 0.03 713903
714301 24 0.16 10639.44 0.16 714301
714303 22 0.15 5266.50 0.08 714303
723601 30 0.21 11209.89 0.17 723601
723603 21 0.14 3354.03 0.05 723603
723606 6 0.04 1186.27 0.02 723606
728601 14 0.10 6852.43 0.11 728601
728603 14 0.10 2248.90 0.03 728603
728606 19 0.13 2842.93 0.04 728606
729301 50 0.34 10181.02 0.16 729301
729401 24 0.16 12298.27 0.19 729401
729403 26 0.18 5476.40 0.08 729403
729406 15 0.10 3742.14 0.06 729406
990101 24 0.16 26502.72 0.41 990101
990102 33 0.23 29811.00 0.46 990102
990105 26 0.18 22092.00 0.34 990105
990107 175 1.20 171910.00 2.65 990107
990110 148 1.01 148191.10 2.29 990110
990201 5 0.03 7285.00 0.11 990201
990204 10 0.07 6295.00 0.10 990204
990207 79 0.54 69040.00 1.07 990207
990210 43 0.29 40764.63 0.63 990210
990301 11 0.08 11433.00 0.18 990301
990302 12 0.08 15323.00 0.24 990302
990305 23 0.16 23006.00 0.35 990305
990307 149 1.02 139893.00 2.16 990307
990310 129 0.88 125655.10 1.94 990310
990401 16 0.11 13970.00 0.22 990401
990404 19 0.13 15145.00 0.23 990404
990405 23 0.16 19825.00 0.31 990405
990407 114 0.78 112223.00 1.73 990407
990410 81 0.55 80672.38 1.24 990410
990501 19 0.13 16939.00 0.26 990501
990502 14 0.10 18489.00 0.29 990502
990505 14 0.10 10932.00 0.17 990505
990507 167 1.14 141711.00 2.19 990507
990510 87 0.59 81186.58 1.25 990510
990601 15 0.10 17078.00 0.26 990601
990604 15 0.10 11794.00 0.18 990604
990605 47 0.32 42525.00 0.66 990605
990607 154 1.05 149640.20 2.31 990607
990610 142 0.97 128005.60 1.98 990610
990701 5 0.03 4221.00 0.07 990701
990707 60 0.41 49564.00 0.76 990707
990710 38 0.26 39726.83 0.61 990710
990801 17 0.12 16928.00 0.26 990801
990802 21 0.14 16613.00 0.26 990802
990805 13 0.09 9424.00 0.15 990805
990807 162 1.11 136218.00 2.10 990807
990810 106 0.72 90625.05 1.40 990810
990901 3 0.02 6968.00 0.11 990901
990902 15 0.10 20711.00 0.32 990902
990907 43 0.29 43495.00 0.67 990907
990910 48 0.33 53407.00 0.82 990910
991001 7 0.05 5037.00 0.08 991001
991005 21 0.14 18178.00 0.28 991005
991007 40 0.27 36929.00 0.57 991007
12/27/11 205
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
991010 48 0.33 55284.96 0.85 991010
991101 5 0.03 7456.00 0.12 991101
991105 20 0.14 17201.00 0.27 991105
991107 50 0.34 44788.24 0.69 991107
991110 44 0.30 39882.00 0.62 991110
991201 10 0.07 1002.00 0.02 991201
991202 24 0.16 2017.00 0.03 991202
991207 37 0.25 3991.00 0.06 991207
991210 26 0.18 2516.00 0.04 991210
991301 21 0.14 14777.00 0.23 991301
991302 31 0.21 17041.00 0.26 991302
991501 10 0.07 4007.00 0.06 991501
991502 10 0.07 3332.00 0.05 991502
991505 33 0.23 11256.00 0.17 991505
999901 15 0.10 99597.00 1.54 999901
1002909 119 0.81 4845.00 0.07 1002909
1002910 106 0.72 30904.18 0.48 1002910
1003209 134 0.92 3957.00 0.06 1003209
1003210 104 0.71 10775.71 0.17 1003210
1003609 111 0.76 1007.01 0.02 1003609
1003610 105 0.72 3497.91 0.05 1003610
1007309 118 0.81 3214.94 0.05 1007309
1007310 92 0.63 5011.79 0.08 1007310
1009809 126 0.86 14555.00 0.22 1009809
1009810 86 0.59 29120.00 0.45 1009810
1012509 128 0.87 6902.00 0.11 1012509
1012510 88 0.60 16258.74 0.25 1012510
12/27/11 206
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
POSTSTR -
Post Stratification Cell
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
111 93 0.64 38110.00 0.59 111
113 88 0.60 24668.00 0.38 113
117 68 0.46 26874.21 0.41 117
119 136 0.93 71051.43 1.10 119
121 40 0.27 10810.00 0.17 121
123 49 0.33 7327.00 0.11 123
127 61 0.42 9301.89 0.14 127
129 39 0.27 12162.78 0.19 129
131 221 1.51 47156.00 0.73 131
133 133 0.91 16914.00 0.26 133
137 86 0.59 10865.00 0.17 137
141 58 0.40 23244.00 0.36 141
143 62 0.42 14579.00 0.22 143
147 36 0.25 16568.00 0.26 147
149 56 0.38 25190.27 0.39 149
151 22 0.15 21683.00 0.33 151
153 39 0.27 9036.00 0.14 153
157 18 0.12 9403.00 0.15 157
159 64 0.44 34746.83 0.54 159
211 39 0.27 21016.00 0.32 211
213 24 0.16 13306.00 0.21 213
217 34 0.23 8176.00 0.13 217
219 32 0.22 34570.00 0.53 219
221 77 0.53 18355.00 0.28 221
223 100 0.68 11563.00 0.18 223
227 58 0.40 7434.00 0.11 227
229 63 0.43 7240.00 0.11 229
231 82 0.56 22687.00 0.35 231
233 64 0.44 15950.00 0.25 233
241 81 0.55 80118.00 1.24 241
243 125 0.85 47536.67 0.73 243
247 55 0.38 20499.00 0.32 247
249 127 0.87 84094.51 1.30 249
251 40 0.27 42239.00 0.65 251
253 75 0.51 22119.44 0.34 253
259 59 0.40 10523.53 0.16 259
261 9 0.06 8434.00 0.13 261
263 30 0.21 7781.50 0.12 263
267 19 0.13 6925.00 0.11 267
269 67 0.46 17509.54 0.27 269
311 21 0.14 17871.00 0.28 311
313 47 0.32 6356.00 0.10 313
317 35 0.24 10570.00 0.16 317
319 164 1.12 41153.27 0.63 319
321 87 0.59 15130.00 0.23 321
323 64 0.44 6968.00 0.11 323
327 90 0.62 8615.00 0.13 327
331 40 0.27 13603.00 0.21 331
333 48 0.33 11047.00 0.17 333
12/27/11 207
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
337 102 0.70 23158.20 0.36 337
339 148 1.01 54190.81 0.84 339
341 31 0.21 42412.00 0.65 341
343 48 0.33 20075.00 0.31 343
347 34 0.23 14134.00 0.22 347
349 81 0.55 29433.65 0.45 349
351 46 0.31 58809.00 0.91 351
353 61 0.42 32555.56 0.50 353
357 59 0.40 33332.00 0.51 357
359 135 0.92 67078.09 1.03 359
411 47 0.32 15908.00 0.25 411
413 74 0.51 13465.00 0.21 413
417 65 0.44 15879.00 0.25 417
419 131 0.90 39133.00 0.60 419
421 108 0.74 26723.00 0.41 421
423 96 0.66 13215.00 0.20 423
427 102 0.70 17442.00 0.27 427
429 15 0.10 6855.00 0.11 429
431 25 0.17 21227.00 0.33 431
433 43 0.29 8448.00 0.13 433
437 20 0.14 9273.00 0.14 437
439 74 0.51 26707.24 0.41 439
511 33 0.23 21403.00 0.33 511
513 21 0.14 11283.00 0.17 513
517 45 0.31 18776.00 0.29 517
519 67 0.46 34942.01 0.54 519
521 31 0.21 50010.00 0.77 521
523 26 0.18 11354.00 0.18 523
527 20 0.14 11707.00 0.18 527
529 82 0.56 38345.77 0.59 529
531 16 0.11 25097.00 0.39 531
533 24 0.16 14735.00 0.23 533
537 11 0.08 7275.00 0.11 537
539 17 0.12 13287.00 0.21 539
611 23 0.16 8098.00 0.12 611
613 39 0.27 5000.00 0.08 613
617 91 0.62 8148.00 0.13 617
619 41 0.28 2793.00 0.04 619
621 105 0.72 46534.00 0.72 621
623 97 0.66 31791.00 0.49 623
627 129 0.88 32858.00 0.51 627
629 87 0.59 44509.00 0.69 629
631 138 0.94 47794.00 0.74 631
633 125 0.85 20668.08 0.32 633
637 115 0.79 29017.83 0.45 637
639 48 0.33 16510.00 0.25 639
641 53 0.36 25540.00 0.39 641
643 48 0.33 10801.00 0.17 643
651 22 0.15 16770.00 0.26 651
653 43 0.29 8021.00 0.12 653
657 20 0.14 6777.00 0.10 657
659 18 0.12 5467.00 0.08 659
911 63 0.43 20853.00 0.32 911
913 50 0.34 10522.00 0.16 913
917 29 0.20 5437.00 0.08 917
919 31 0.21 5064.00 0.08 919
921 50 0.34 109052.00 1.68 921
12/27/11 208
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
923 90 0.62 49686.69 0.77 923
927 31 0.21 34001.00 0.52 927
929 84 0.57 69000.69 1.06 929
931 33 0.23 5904.00 0.09 931
933 27 0.18 3302.00 0.05 933
937 10 0.07 2542.00 0.04 937
1011 52 0.36 14153.00 0.22 1011
1017 62 0.42 26554.00 0.41 1017
1019 53 0.36 42850.00 0.66 1019
1021 16 0.11 5784.00 0.09 1021
1023 22 0.15 3815.00 0.06 1023
1027 16 0.11 2871.00 0.04 1027
1029 25 0.17 6585.14 0.10 1029
1111 17 0.12 7536.00 0.12 1111
1113 21 0.14 4339.00 0.07 1113
1117 15 0.10 3027.00 0.05 1117
1119 26 0.18 5354.00 0.08 1119
1121 108 0.74 26747.00 0.41 1121
1123 72 0.49 11171.91 0.17 1123
1127 56 0.38 10240.00 0.16 1127
1129 61 0.42 11226.19 0.17 1129
1131 46 0.31 15326.00 0.24 1131
1133 61 0.42 15960.00 0.25 1133
1137 67 0.46 21841.00 0.34 1137
1139 38 0.26 23574.00 0.36 1139
1211 58 0.40 23087.00 0.36 1211
1213 51 0.35 17139.00 0.26 1213
1219 47 0.32 26858.00 0.41 1219
1221 62 0.42 18257.00 0.28 1221
1223 54 0.37 7892.00 0.12 1223
1227 8 0.05 1876.00 0.03 1227
1311 39 0.27 48295.00 0.75 1311
1313 43 0.29 29718.00 0.46 1313
1321 105 0.72 25472.00 0.39 1321
1323 67 0.46 13480.00 0.21 1323
1329 10 0.07 2426.00 0.04 1329
1331 46 0.31 25321.00 0.39 1331
1333 37 0.25 12729.00 0.20 1333
1339 10 0.07 4047.00 0.06 1339
1411 50 0.34 15311.55 0.24 1411
1413 31 0.21 8201.00 0.13 1413
1419 22 0.15 5829.00 0.09 1419
1421 88 0.60 61025.00 0.94 1421
1423 41 0.28 13674.00 0.21 1423
1431 27 0.18 7930.00 0.12 1431
1433 18 0.12 3830.00 0.06 1433
1441 14 0.10 17107.00 0.26 1441
1443 21 0.14 6439.00 0.10 1443
1511 5 0.03 4667.00 0.07 1511
1519 39 0.27 14013.00 0.22 1519
1611 50 0.34 18733.00 0.29 1611
1613 27 0.18 11035.00 0.17 1613
1617 14 0.10 6706.00 0.10 1617
1619 28 0.19 9193.00 0.14 1619
7811 66 0.45 16886.00 0.26 7811
7813 80 0.55 16219.00 0.25 7813
7817 96 0.66 16612.53 0.26 7817
12/27/11 209
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
7819 20 0.14 7461.00 0.12 7819
7821 164 1.12 27974.00 0.43 7821
7823 128 0.87 16485.00 0.25 7823
7827 143 0.98 21510.88 0.33 7827
7829 41 0.28 11439.00 0.18 7829
7831 196 1.34 69121.00 1.07 7831
7833 117 0.80 33513.75 0.52 7833
7837 106 0.72 32837.00 0.51 7837
7839 145 0.99 61872.89 0.95 7839
7841 103 0.70 22984.00 0.35 7841
7843 69 0.47 12910.88 0.20 7843
7847 80 0.55 15338.13 0.24 7847
7849 38 0.26 14056.00 0.22 7849
7851 7 0.05 6872.00 0.11 7851
7853 12 0.08 5555.00 0.09 7853
7857 19 0.13 11165.00 0.17 7857
7859 56 0.38 42325.00 0.65 7859
990101 24 0.16 26502.72 0.41 990101
990102 33 0.23 29811.00 0.46 990102
990105 26 0.18 22092.00 0.34 990105
990107 175 1.20 171910.00 2.65 990107
990110 148 1.01 148191.10 2.29 990110
990201 5 0.03 7285.00 0.11 990201
990204 10 0.07 6295.00 0.10 990204
990207 79 0.54 69040.00 1.07 990207
990210 43 0.29 40764.63 0.63 990210
990301 11 0.08 11433.00 0.18 990301
990302 12 0.08 15323.00 0.24 990302
990305 23 0.16 23006.00 0.35 990305
990307 149 1.02 139893.00 2.16 990307
990310 129 0.88 125655.10 1.94 990310
990401 16 0.11 13970.00 0.22 990401
990404 19 0.13 15145.00 0.23 990404
990405 23 0.16 19825.00 0.31 990405
990407 114 0.78 112223.00 1.73 990407
990410 81 0.55 80672.38 1.24 990410
990501 19 0.13 16939.00 0.26 990501
990502 14 0.10 18489.00 0.29 990502
990505 14 0.10 10932.00 0.17 990505
990507 167 1.14 141711.00 2.19 990507
990510 87 0.59 81186.58 1.25 990510
990601 15 0.10 17078.00 0.26 990601
990604 15 0.10 11794.00 0.18 990604
990605 47 0.32 42525.00 0.66 990605
990607 154 1.05 149640.20 2.31 990607
990610 142 0.97 128005.60 1.98 990610
990701 5 0.03 4221.00 0.07 990701
990707 60 0.41 49564.00 0.76 990707
990710 38 0.26 39726.83 0.61 990710
990801 17 0.12 16928.00 0.26 990801
990802 21 0.14 16613.00 0.26 990802
990805 13 0.09 9424.00 0.15 990805
990807 162 1.11 136218.00 2.10 990807
990810 106 0.72 90625.05 1.40 990810
990901 3 0.02 6968.00 0.11 990901
990902 15 0.10 20711.00 0.32 990902
990907 43 0.29 43495.00 0.67 990907
12/27/11 210
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
990910 48 0.33 53407.00 0.82 990910
991001 7 0.05 5037.00 0.08 991001
991005 21 0.14 18178.00 0.28 991005
991007 40 0.27 36929.00 0.57 991007
991010 48 0.33 55284.96 0.85 991010
991101 5 0.03 7456.00 0.12 991101
991105 20 0.14 17201.00 0.27 991105
991107 50 0.34 44788.24 0.69 991107
991110 44 0.30 39882.00 0.62 991110
991201 10 0.07 1002.00 0.02 991201
991202 24 0.16 2017.00 0.03 991202
991207 37 0.25 3991.00 0.06 991207
991210 26 0.18 2516.00 0.04 991210
991301 21 0.14 14777.00 0.23 991301
991302 31 0.21 17041.00 0.26 991302
991501 10 0.07 4007.00 0.06 991501
991502 10 0.07 3332.00 0.05 991502
991505 33 0.23 11256.00 0.17 991505
999901 15 0.10 99597.00 1.54 999901
1002909 119 0.81 4845.00 0.07 1002909
1002910 106 0.72 30904.18 0.48 1002910
1003209 134 0.92 3957.00 0.06 1003209
1003210 104 0.71 10775.71 0.17 1003210
1003609 111 0.76 1007.01 0.02 1003609
1003610 105 0.72 3497.91 0.05 1003610
1007309 118 0.81 3214.94 0.05 1007309
1007310 92 0.63 5011.79 0.08 1007310
1009809 126 0.86 14555.00 0.22 1009809
1009810 86 0.59 29120.00 0.45 1009810
1012509 128 0.87 6902.00 0.11 1012509
1012510 88 0.60 16258.74 0.25 1012510
WRWT -
Final Weight
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
9.072 -- 78.257 1508 10.31 72152.20 1.11 Minimum to 10th
Percentile
79.533 -- 128.493 2187 14.95 229465.80 3.54 >10th to 25th Percentile
128.694 -- 279.442 3631 24.82 702812.10 10.84 >25th to 50th Percentile
280.980 -- 759.965 3636 24.85 1671695.00 25.79 >50th to 75th Percentile
760.889 -- 982.437 2339 15.99 2101025.00 32.42 >75th to 90th Percentile
984.412 -- 8120.722 1328 9.08 1704023.00 26.29 >90th to 100th Percentile
12/27/11 211
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
WRWT1 -
Replicated/JackKnife Weight 1
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 68.344 1475 10.08 176204.10 2.72 Minimum to 10th
Percentile
71.537 -- 121.018 2188 14.96 217367.60 3.35 >10th to 25th Percentile
121.845 -- 277.932 3688 25.21 688446.30 10.62 >25th to 50th Percentile
278.268 -- 756.130 3622 24.76 1626388.00 25.09 >50th to 75th Percentile
757.023 -- 997.232 2312 15.80 2062580.00 31.82 >75th to 90th Percentile
999.477 -- 8120.722 1344 9.19 1710187.00 26.39 >90th to 100th Percentile
WRWT2 -
Replicated/JackKnife Weight 2
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 69.825 1470 10.05 170578.20 2.63 Minimum to 10th
Percentile
70.699 -- 121.401 2178 14.89 216124.40 3.33 >10th to 25th Percentile
122.500 -- 279.373 3692 25.24 688515.70 10.62 >25th to 50th Percentile
279.627 -- 761.262 3641 24.89 1639259.00 25.29 >50th to 75th Percentile
764.310 -- 989.183 2263 15.47 2020260.00 31.17 >75th to 90th Percentile
993.279 -- 8606.316 1385 9.47 1746435.00 26.95 >90th to 100th Percentile
WRWT3 -
Replicated/JackKnife Weight 3
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 74.418 1480 10.12 154848.50 2.39 Minimum to 10th
Percentile
75.297 -- 122.657 2108 14.41 209827.40 3.24 >10th to 25th Percentile
123.585 -- 278.268 3741 25.57 696251.10 10.74 >25th to 50th Percentile
278.724 -- 761.262 3652 24.96 1644423.00 25.37 >50th to 75th Percentile
763.346 -- 996.917 2308 15.78 2064517.00 31.85 >75th to 90th Percentile
999.477 -- 8120.722 1340 9.16 1711306.00 26.40 >90th to 100th Percentile
12/27/11 212
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
WRWT4 -
Replicated/JackKnife Weight 4
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 70.950 1463 10.00 158467.00 2.45 Minimum to 10th
Percentile
71.839 -- 124.342 2221 15.18 221489.90 3.42 >10th to 25th Percentile
124.521 -- 278.268 3635 24.85 679501.20 10.48 >25th to 50th Percentile
279.000 -- 761.262 3671 25.09 1655217.00 25.54 >50th to 75th Percentile
762.273 -- 993.699 2261 15.46 2022574.00 31.21 >75th to 90th Percentile
995.643 -- 8120.722 1378 9.42 1743924.00 26.91 >90th to 100th Percentile
WRWT5 -
Replicated/JackKnife Weight 5
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 74.607 1476 10.09 154898.40 2.39 Minimum to 10th
Percentile
74.915 -- 124.242 2181 14.91 217901.30 3.36 >10th to 25th Percentile
125.518 -- 279.000 3681 25.16 689758.10 10.64 >25th to 50th Percentile
280.232 -- 761.262 3652 24.96 1651429.00 25.48 >50th to 75th Percentile
762.273 -- 999.477 2291 15.66 2050227.00 31.63 >75th to 90th Percentile
1000.053 -- 8120.722 1348 9.21 1716959.00 26.49 >90th to 100th Percentile
WRWT6 -
Replicated/JackKnife Weight 6
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 74.517 1485 10.15 151498.70 2.34 Minimum to 10th
Percentile
76.503 -- 122.709 2116 14.46 210539.30 3.25 >10th to 25th Percentile
123.639 -- 278.268 3717 25.41 691416.90 10.67 >25th to 50th Percentile
279.806 -- 761.262 3643 24.90 1637762.00 25.27 >50th to 75th Percentile
761.532 -- 995.765 2218 15.16 1973424.00 30.45 >75th to 90th Percentile
996.917 -- 8120.722 1450 9.91 1816531.00 28.03 >90th to 100th Percentile
12/27/11 213
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
WRWT7 -
Replicated/JackKnife Weight 7
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 74.179 1476 10.09 145188.70 2.24 Minimum to 10th
Percentile
75.011 -- 119.951 2109 14.42 209867.00 3.24 >10th to 25th Percentile
120.670 -- 279.000 3750 25.63 698522.60 10.78 >25th to 50th Percentile
280.621 -- 746.546 3618 24.73 1629733.00 25.15 >50th to 75th Percentile
753.748 -- 993.699 2305 15.76 2057290.00 31.74 >75th to 90th Percentile
995.765 -- 8120.722 1371 9.37 1740571.00 26.86 >90th to 100th Percentile
WRWT8 -
Replicated/JackKnife Weight 8
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 72.024 1470 10.05 157617.30 2.43 Minimum to 10th
Percentile
73.844 -- 123.439 2195 15.00 218660.20 3.37 >10th to 25th Percentile
123.559 -- 276.302 3655 24.98 681712.70 10.52 >25th to 50th Percentile
277.107 -- 762.273 3666 25.06 1652537.00 25.50 >50th to 75th Percentile
763.346 -- 993.124 2252 15.39 2011562.00 31.04 >75th to 90th Percentile
995.643 -- 8120.722 1391 9.51 1759084.00 27.14 >90th to 100th Percentile
WRWT9 -
Replicated/JackKnife Weight 9
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 74.146 1486 10.16 162377.50 2.51 Minimum to 10th
Percentile
74.252 -- 121.372 2159 14.76 215207.50 3.32 >10th to 25th Percentile
121.502 -- 278.426 3687 25.20 686840.10 10.60 >25th to 50th Percentile
279.000 -- 745.989 3615 24.71 1620120.00 25.00 >50th to 75th Percentile
746.546 -- 993.699 2243 15.33 1992446.00 30.74 >75th to 90th Percentile
995.765 -- 8396.108 1439 9.84 1804181.00 27.84 >90th to 100th Percentile
12/27/11 214
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
WRWT10 -
Replicated/JackKnife Weight 10
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 74.529 1500 10.25 158647.90 2.45 Minimum to 10th
Percentile
76.003 -- 123.344 2129 14.55 212541.80 3.28 >10th to 25th Percentile
123.579 -- 280.801 3710 25.36 692883.00 10.69 >25th to 50th Percentile
281.043 -- 757.023 3637 24.86 1639157.00 25.29 >50th to 75th Percentile
757.858 -- 996.917 2287 15.63 2043034.00 31.52 >75th to 90th Percentile
997.847 -- 8120.722 1366 9.34 1734909.00 26.77 >90th to 100th Percentile
WRWT11 -
Replicated/JackKnife Weight 11
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 74.252 1475 10.08 161280.80 2.49 Minimum to 10th
Percentile
74.947 -- 123.432 2163 14.79 215946.10 3.33 >10th to 25th Percentile
123.547 -- 277.932 3702 25.31 692873.90 10.69 >25th to 50th Percentile
278.808 -- 743.655 3621 24.75 1624693.00 25.07 >50th to 75th Percentile
746.546 -- 997.265 2356 16.10 2105926.00 32.49 >75th to 90th Percentile
1000.261 -- 8120.722 1312 8.97 1680453.00 25.93 >90th to 100th Percentile
WRWT12 -
Replicated/JackKnife Weight 12
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 74.915 1473 10.07 162011.30 2.50 Minimum to 10th
Percentile
75.422 -- 122.376 2194 15.00 219308.10 3.38 >10th to 25th Percentile
122.518 -- 277.606 3659 25.01 684105.90 10.56 >25th to 50th Percentile
278.161 -- 745.989 3624 24.77 1620680.00 25.01 >50th to 75th Percentile
746.546 -- 996.917 2319 15.85 2065185.00 31.86 >75th to 90th Percentile
999.477 -- 8120.722 1360 9.30 1729883.00 26.69 >90th to 100th Percentile
12/27/11 215
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
WRWT13 -
Replicated/JackKnife Weight 13
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 73.658 1472 10.06 161339.70 2.49 Minimum to 10th
Percentile
74.390 -- 121.346 2197 15.02 219835.10 3.39 >10th to 25th Percentile
121.552 -- 275.371 3670 25.09 688150.60 10.62 >25th to 50th Percentile
277.932 -- 760.066 3644 24.91 1646209.00 25.40 >50th to 75th Percentile
762.273 -- 993.699 2328 15.91 2085542.00 32.18 >75th to 90th Percentile
995.765 -- 8606.316 1318 9.01 1680097.00 25.92 >90th to 100th Percentile
WRWT14 -
Replicated/JackKnife Weight 14
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 68.344 1474 10.08 166538.20 2.57 Minimum to 10th
Percentile
69.322 -- 121.158 2195 15.00 218064.50 3.36 >10th to 25th Percentile
122.151 -- 278.583 3667 25.07 684001.00 10.55 >25th to 50th Percentile
281.011 -- 759.201 3636 24.85 1633779.00 25.21 >50th to 75th Percentile
759.905 -- 993.699 2267 15.50 2022971.00 31.21 >75th to 90th Percentile
995.765 -- 8120.722 1390 9.50 1755819.00 27.09 >90th to 100th Percentile
WRWT15 -
Replicated/JackKnife Weight 15
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 74.146 1489 10.18 154638.20 2.39 Minimum to 10th
Percentile
75.031 -- 124.342 2224 15.20 223746.60 3.45 >10th to 25th Percentile
124.943 -- 279.000 3616 24.72 680224.10 10.50 >25th to 50th Percentile
279.993 -- 762.273 3663 25.04 1655232.00 25.54 >50th to 75th Percentile
765.289 -- 990.745 2260 15.45 2021076.00 31.18 >75th to 90th Percentile
993.699 -- 8120.722 1377 9.41 1746256.00 26.94 >90th to 100th Percentile
12/27/11 216
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
WRWT16 -
Replicated/JackKnife Weight 16
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 73.300 1469 10.04 161049.20 2.48 Minimum to 10th
Percentile
74.658 -- 122.583 2162 14.78 215505.60 3.33 >10th to 25th Percentile
123.770 -- 277.582 3699 25.29 690940.40 10.66 >25th to 50th Percentile
278.268 -- 760.066 3657 25.00 1650342.00 25.46 >50th to 75th Percentile
762.273 -- 996.917 2250 15.38 2009297.00 31.00 >75th to 90th Percentile
997.847 -- 8120.722 1392 9.52 1754039.00 27.06 >90th to 100th Percentile
WRWT17 -
Replicated/JackKnife Weight 17
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 73.300 1471 10.06 159098.20 2.45 Minimum to 10th
Percentile
74.045 -- 124.342 2234 15.27 224064.80 3.46 >10th to 25th Percentile
124.534 -- 279.000 3640 24.88 685172.50 10.57 >25th to 50th Percentile
280.440 -- 760.066 3641 24.89 1643220.00 25.35 >50th to 75th Percentile
762.273 -- 999.477 2341 16.00 2097800.00 32.37 >75th to 90th Percentile
1000.261 -- 8120.722 1302 8.90 1671817.00 25.79 >90th to 100th Percentile
WRWT18 -
Replicated/JackKnife Weight 18
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 72.387 1477 10.10 172086.40 2.66 Minimum to 10th
Percentile
73.863 -- 121.372 2225 15.21 222421.90 3.43 >10th to 25th Percentile
121.735 -- 281.202 3668 25.07 690757.90 10.66 >25th to 50th Percentile
284.135 -- 757.023 3589 24.53 1616401.00 24.94 >50th to 75th Percentile
757.734 -- 990.745 2281 15.59 2031979.00 31.35 >75th to 90th Percentile
992.476 -- 8841.631 1389 9.49 1747527.00 26.96 >90th to 100th Percentile
12/27/11 217
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
WRWT19 -
Replicated/JackKnife Weight 19
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 69.825 1463 10.00 154452.40 2.38 Minimum to 10th
Percentile
70.950 -- 123.439 2196 15.01 218002.40 3.36 >10th to 25th Percentile
123.530 -- 278.540 3676 25.13 686033.20 10.59 >25th to 50th Percentile
279.571 -- 746.664 3632 24.83 1634721.00 25.22 >50th to 75th Percentile
747.875 -- 993.124 2238 15.30 1994788.00 30.78 >75th to 90th Percentile
995.643 -- 8120.722 1424 9.73 1793176.00 27.67 >90th to 100th Percentile
WRWT20 -
Replicated/JackKnife Weight 20
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 74.094 1478 10.10 152123.10 2.35 Minimum to 10th
Percentile
74.776 -- 123.130 2171 14.84 215946.90 3.33 >10th to 25th Percentile
123.655 -- 280.203 3666 25.06 682360.40 10.53 >25th to 50th Percentile
280.895 -- 754.027 3654 24.98 1642810.00 25.35 >50th to 75th Percentile
758.913 -- 993.124 2221 15.18 1978219.00 30.52 >75th to 90th Percentile
993.699 -- 8120.722 1439 9.84 1809714.00 27.92 >90th to 100th Percentile
WRWT21 -
Replicated/JackKnife Weight 21
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 73.704 1465 10.01 163405.70 2.52 Minimum to 10th
Percentile
74.457 -- 121.796 2172 14.85 215627.20 3.33 >10th to 25th Percentile
123.594 -- 279.122 3720 25.43 694332.20 10.71 >25th to 50th Percentile
280.058 -- 764.293 3637 24.86 1643781.00 25.36 >50th to 75th Percentile
768.720 -- 999.308 2174 14.86 1935499.00 29.86 >75th to 90th Percentile
1000.261 -- 8120.722 1461 9.99 1828527.00 28.21 >90th to 100th Percentile
12/27/11 218
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
WRWT22 -
Replicated/JackKnife Weight 22
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 72.606 1463 10.00 155675.10 2.40 Minimum to 10th
Percentile
73.704 -- 123.423 2124 14.52 210358.80 3.25 >10th to 25th Percentile
123.530 -- 279.386 3760 25.70 698780.20 10.78 >25th to 50th Percentile
281.202 -- 760.668 3616 24.72 1627813.00 25.12 >50th to 75th Percentile
768.720 -- 999.308 2208 15.09 1961235.00 30.26 >75th to 90th Percentile
1000.261 -- 8120.722 1458 9.97 1827311.00 28.19 >90th to 100th Percentile
WRWT23 -
Replicated/JackKnife Weight 23
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 74.551 1477 10.10 154095.90 2.38 Minimum to 10th
Percentile
75.109 -- 122.384 2142 14.64 212772.10 3.28 >10th to 25th Percentile
122.526 -- 278.186 3700 25.29 686766.40 10.60 >25th to 50th Percentile
279.000 -- 747.162 3647 24.93 1639043.00 25.29 >50th to 75th Percentile
749.741 -- 996.917 2278 15.57 2032806.00 31.36 >75th to 90th Percentile
997.847 -- 8120.722 1385 9.47 1755689.00 27.09 >90th to 100th Percentile
WRWT24 -
Replicated/JackKnife Weight 24
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 73.602 1469 10.04 158372.20 2.44 Minimum to 10th
Percentile
74.384 -- 123.423 2203 15.06 220476.80 3.40 >10th to 25th Percentile
123.540 -- 281.202 3675 25.12 689534.10 10.64 >25th to 50th Percentile
285.436 -- 766.392 3619 24.74 1632110.00 25.18 >50th to 75th Percentile
769.558 -- 993.124 2294 15.68 2049288.00 31.62 >75th to 90th Percentile
993.699 -- 8120.722 1369 9.36 1731392.00 26.71 >90th to 100th Percentile
12/27/11 219
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
WRWT25 -
Replicated/JackKnife Weight 25
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 75.927 1474 10.08 152056.20 2.35 Minimum to 10th
Percentile
76.603 -- 124.342 2173 14.85 216727.90 3.34 >10th to 25th Percentile
125.568 -- 275.299 3692 25.24 690034.50 10.65 >25th to 50th Percentile
280.683 -- 762.273 3651 24.96 1652372.00 25.49 >50th to 75th Percentile
763.166 -- 999.477 2364 16.16 2120436.00 32.72 >75th to 90th Percentile
1000.261 -- 8120.722 1275 8.72 1649546.00 25.45 >90th to 100th Percentile
WRWT26 -
Replicated/JackKnife Weight 26
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 69.825 1468 10.03 166998.80 2.58 Minimum to 10th
Percentile
70.950 -- 121.816 2168 14.82 214517.80 3.31 >10th to 25th Percentile
123.606 -- 279.000 3679 25.15 682092.50 10.52 >25th to 50th Percentile
279.859 -- 771.337 3658 25.01 1640644.00 25.31 >50th to 75th Percentile
771.659 -- 993.124 2248 15.37 2003235.00 30.91 >75th to 90th Percentile
995.765 -- 8120.722 1408 9.62 1773685.00 27.37 >90th to 100th Percentile
WRWT27 -
Replicated/JackKnife Weight 27
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 73.625 1475 10.08 162323.80 2.50 Minimum to 10th
Percentile
74.507 -- 123.447 2172 14.85 215527.30 3.33 >10th to 25th Percentile
124.559 -- 279.466 3694 25.25 688588.00 10.62 >25th to 50th Percentile
280.669 -- 762.273 3641 24.89 1644041.00 25.37 >50th to 75th Percentile
765.938 -- 997.265 2343 16.02 2098270.00 32.37 >75th to 90th Percentile
997.847 -- 8120.722 1304 8.91 1672422.00 25.80 >90th to 100th Percentile
12/27/11 220
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
WRWT28 -
Replicated/JackKnife Weight 28
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 73.111 1466 10.02 146545.90 2.26 Minimum to 10th
Percentile
74.543 -- 123.145 2194 15.00 219439.50 3.39 >10th to 25th Percentile
124.226 -- 275.299 3660 25.02 684071.70 10.55 >25th to 50th Percentile
279.682 -- 771.337 3653 24.97 1648062.00 25.43 >50th to 75th Percentile
771.659 -- 996.917 2209 15.10 1965930.00 30.33 >75th to 90th Percentile
997.847 -- 8120.722 1447 9.89 1817124.00 28.04 >90th to 100th Percentile
WRWT29 -
Replicated/JackKnife Weight 29
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 73.111 1475 10.08 157683.50 2.43 Minimum to 10th
Percentile
74.229 -- 121.097 2185 14.94 217983.10 3.36 >10th to 25th Percentile
121.736 -- 276.697 3672 25.10 686236.90 10.59 >25th to 50th Percentile
278.936 -- 749.160 3650 24.95 1647801.00 25.42 >50th to 75th Percentile
754.027 -- 997.265 2310 15.79 2067416.00 31.90 >75th to 90th Percentile
997.847 -- 8120.722 1337 9.14 1704052.00 26.29 >90th to 100th Percentile
WRWT30 -
Replicated/JackKnife Weight 30
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 72.606 1467 10.03 159605.70 2.46 Minimum to 10th
Percentile
73.780 -- 121.011 2183 14.92 217175.10 3.35 >10th to 25th Percentile
121.697 -- 281.057 3691 25.23 688831.70 10.63 >25th to 50th Percentile
283.644 -- 755.038 3634 24.84 1639029.00 25.29 >50th to 75th Percentile
756.400 -- 999.308 2228 15.23 1983899.00 30.61 >75th to 90th Percentile
1000.922 -- 8120.722 1426 9.75 1792633.00 27.66 >90th to 100th Percentile
12/27/11 221
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
WRWT31 -
Replicated/JackKnife Weight 31
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 73.070 1485 10.15 170906.00 2.64 Minimum to 10th
Percentile
73.524 -- 121.067 2163 14.79 215760.00 3.33 >10th to 25th Percentile
121.800 -- 277.287 3679 25.15 685106.50 10.57 >25th to 50th Percentile
279.000 -- 754.117 3651 24.96 1641447.00 25.33 >50th to 75th Percentile
754.627 -- 993.124 2273 15.54 2029266.00 31.31 >75th to 90th Percentile
995.765 -- 8841.631 1378 9.42 1738687.00 26.83 >90th to 100th Percentile
WRWT32 -
Replicated/JackKnife Weight 32
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 72.333 1473 10.07 158752.20 2.45 Minimum to 10th
Percentile
73.524 -- 122.231 2192 14.98 218434.30 3.37 >10th to 25th Percentile
122.950 -- 274.947 3683 25.18 689542.40 10.64 >25th to 50th Percentile
275.565 -- 750.853 3607 24.66 1619065.00 24.98 >50th to 75th Percentile
753.549 -- 993.124 2311 15.80 2061360.00 31.81 >75th to 90th Percentile
995.765 -- 8120.722 1363 9.32 1734019.00 26.75 >90th to 100th Percentile
WRWT33 -
Replicated/JackKnife Weight 33
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 76.037 1464 10.01 155145.90 2.39 Minimum to 10th
Percentile
76.734 -- 120.456 2133 14.58 212061.00 3.27 >10th to 25th Percentile
120.572 -- 275.224 3733 25.52 695106.80 10.73 >25th to 50th Percentile
276.361 -- 754.294 3665 25.05 1655911.00 25.55 >50th to 75th Percentile
764.082 -- 989.296 2297 15.70 2058788.00 31.77 >75th to 90th Percentile
990.767 -- 8120.722 1337 9.14 1704160.00 26.29 >90th to 100th Percentile
12/27/11 222
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
WRWT34 -
Replicated/JackKnife Weight 34
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 73.524 1468 10.03 153597.40 2.37 Minimum to 10th
Percentile
74.472 -- 123.350 2200 15.04 220143.40 3.40 >10th to 25th Percentile
125.538 -- 279.006 3708 25.35 698222.60 10.77 >25th to 50th Percentile
281.202 -- 754.027 3606 24.65 1633461.00 25.20 >50th to 75th Percentile
756.400 -- 997.265 2304 15.75 2061044.00 31.80 >75th to 90th Percentile
999.308 -- 8120.722 1343 9.18 1714705.00 26.46 >90th to 100th Percentile
WRWT35 -
Replicated/JackKnife Weight 35
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 75.233 1464 10.01 154055.80 2.38 Minimum to 10th
Percentile
75.806 -- 123.066 2167 14.81 215550.10 3.33 >10th to 25th Percentile
123.961 -- 279.000 3695 25.26 688091.00 10.62 >25th to 50th Percentile
280.669 -- 754.294 3672 25.10 1660168.00 25.62 >50th to 75th Percentile
756.400 -- 993.124 2195 15.00 1958593.00 30.22 >75th to 90th Percentile
994.890 -- 8120.722 1436 9.82 1804714.00 27.85 >90th to 100th Percentile
WRWT36 -
Replicated/JackKnife Weight 36
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 71.230 1468 10.03 162232.90 2.50 Minimum to 10th
Percentile
72.942 -- 124.342 2218 15.16 221612.40 3.42 >10th to 25th Percentile
125.538 -- 277.922 3651 24.96 684328.40 10.56 >25th to 50th Percentile
280.669 -- 754.027 3636 24.85 1637932.00 25.27 >50th to 75th Percentile
754.665 -- 990.745 2219 15.17 1976153.00 30.49 >75th to 90th Percentile
995.643 -- 8606.316 1437 9.82 1798915.00 27.76 >90th to 100th Percentile
12/27/11 223
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
WRWT37 -
Replicated/JackKnife Weight 37
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 73.767 1465 10.01 152155.50 2.35 Minimum to 10th
Percentile
75.118 -- 123.288 2213 15.13 221231.80 3.41 >10th to 25th Percentile
123.669 -- 279.232 3666 25.06 688699.60 10.63 >25th to 50th Percentile
279.928 -- 754.027 3630 24.81 1639166.00 25.29 >50th to 75th Percentile
756.400 -- 990.745 2211 15.11 1969001.00 30.38 >75th to 90th Percentile
995.765 -- 8120.722 1444 9.87 1810919.00 27.94 >90th to 100th Percentile
WRWT38 -
Replicated/JackKnife Weight 38
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 72.080 1465 10.01 162087.20 2.50 Minimum to 10th
Percentile
73.500 -- 123.369 2207 15.09 220208.90 3.40 >10th to 25th Percentile
124.315 -- 275.601 3673 25.11 687981.60 10.62 >25th to 50th Percentile
275.950 -- 772.144 3625 24.78 1629615.00 25.14 >50th to 75th Percentile
775.828 -- 993.124 2249 15.37 2003222.00 30.91 >75th to 90th Percentile
995.643 -- 8120.722 1410 9.64 1778058.00 27.43 >90th to 100th Percentile
WRWT39 -
Replicated/JackKnife Weight 39
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 75.825 1470 10.05 166753.00 2.57 Minimum to 10th
Percentile
76.312 -- 119.866 2123 14.51 210718.30 3.25 >10th to 25th Percentile
120.860 -- 275.950 3726 25.47 692230.70 10.68 >25th to 50th Percentile
276.361 -- 753.031 3654 24.98 1641582.00 25.33 >50th to 75th Percentile
754.027 -- 999.477 2382 16.28 2136851.00 32.97 >75th to 90th Percentile
1000.922 -- 8841.631 1274 8.71 1633039.00 25.20 >90th to 100th Percentile
12/27/11 224
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WRWT40 -
Replicated/JackKnife Weight 40
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 72.574 1469 10.04 155087.50 2.39 Minimum to 10th
Percentile
73.097 -- 124.445 2190 14.97 218765.80 3.38 >10th to 25th Percentile
124.669 -- 276.090 3667 25.07 685640.00 10.58 >25th to 50th Percentile
276.361 -- 754.027 3659 25.01 1650060.00 25.46 >50th to 75th Percentile
760.668 -- 999.477 2343 16.02 2099811.00 32.40 >75th to 90th Percentile
1000.922 -- 8120.722 1301 8.89 1671809.00 25.79 >90th to 100th Percentile
WRWT41 -
Replicated/JackKnife Weight 41
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 71.865 1474 10.08 171965.70 2.65 Minimum to 10th
Percentile
73.500 -- 123.369 2209 15.10 220294.70 3.40 >10th to 25th Percentile
123.542 -- 278.775 3644 24.91 679467.40 10.48 >25th to 50th Percentile
280.149 -- 747.697 3642 24.90 1630943.00 25.16 >50th to 75th Percentile
752.572 -- 993.124 2250 15.38 2002279.00 30.89 >75th to 90th Percentile
995.765 -- 8120.722 1410 9.64 1776223.00 27.41 >90th to 100th Percentile
WRWT42 -
Replicated/JackKnife Weight 42
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 71.632 1469 10.04 155143.90 2.39 Minimum to 10th
Percentile
72.268 -- 120.470 2160 14.77 214441.70 3.31 >10th to 25th Percentile
120.691 -- 276.340 3696 25.26 687842.00 10.61 >25th to 50th Percentile
278.417 -- 752.048 3634 24.84 1630846.00 25.16 >50th to 75th Percentile
767.691 -- 997.684 2328 15.91 2079963.00 32.09 >75th to 90th Percentile
997.847 -- 8120.722 1342 9.17 1712936.00 26.43 >90th to 100th Percentile
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WRWT43 -
Replicated/JackKnife Weight 43
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 75.551 1520 10.39 151457.30 2.34 Minimum to 10th
Percentile
75.825 -- 123.458 2173 14.85 219754.60 3.39 >10th to 25th Percentile
124.323 -- 274.947 3645 24.92 686472.80 10.59 >25th to 50th Percentile
275.950 -- 757.561 3632 24.83 1638713.00 25.28 >50th to 75th Percentile
759.736 -- 993.699 2340 16.00 2096170.00 32.34 >75th to 90th Percentile
995.765 -- 8120.722 1319 9.02 1688605.00 26.05 >90th to 100th Percentile
WRWT44 -
Replicated/JackKnife Weight 44
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 68.344 1466 10.02 162513.20 2.51 Minimum to 10th
Percentile
70.238 -- 124.486 2191 14.98 217480.60 3.36 >10th to 25th Percentile
124.669 -- 281.202 3696 25.26 690729.00 10.66 >25th to 50th Percentile
283.579 -- 745.989 3614 24.70 1629311.00 25.14 >50th to 75th Percentile
759.736 -- 993.124 2303 15.74 2059211.00 31.77 >75th to 90th Percentile
995.765 -- 8841.631 1359 9.29 1721927.00 26.57 >90th to 100th Percentile
WRWT45 -
Replicated/JackKnife Weight 45
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 73.097 1465 10.01 143149.80 2.21 Minimum to 10th
Percentile
73.500 -- 123.369 2220 15.18 222509.40 3.43 >10th to 25th Percentile
124.445 -- 275.601 3642 24.90 683485.60 10.55 >25th to 50th Percentile
276.585 -- 764.310 3655 24.98 1652325.00 25.49 >50th to 75th Percentile
775.828 -- 990.745 2198 15.02 1958358.00 30.22 >75th to 90th Percentile
993.699 -- 8120.722 1449 9.90 1821345.00 28.10 >90th to 100th Percentile
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WRWT46 -
Replicated/JackKnife Weight 46
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 76.182 1494 10.21 161041.80 2.48 Minimum to 10th
Percentile
76.441 -- 121.821 2142 14.64 213897.30 3.30 >10th to 25th Percentile
122.810 -- 281.334 3734 25.52 699861.50 10.80 >25th to 50th Percentile
281.840 -- 758.745 3596 24.58 1624627.00 25.07 >50th to 75th Percentile
759.736 -- 993.699 2303 15.74 2058525.00 31.76 >75th to 90th Percentile
995.765 -- 8841.631 1360 9.30 1723220.00 26.59 >90th to 100th Percentile
WRWT47 -
Replicated/JackKnife Weight 47
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 71.446 1470 10.05 166240.80 2.56 Minimum to 10th
Percentile
72.438 -- 124.445 2190 14.97 218262.50 3.37 >10th to 25th Percentile
124.811 -- 278.540 3669 25.08 684403.80 10.56 >25th to 50th Percentile
279.317 -- 764.310 3669 25.08 1657521.00 25.57 >50th to 75th Percentile
770.163 -- 996.917 2243 15.33 2004789.00 30.93 >75th to 90th Percentile
997.847 -- 8606.316 1388 9.49 1749956.00 27.00 >90th to 100th Percentile
WRWT48 -
Replicated/JackKnife Weight 48
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 72.774 1475 10.08 173407.90 2.68 Minimum to 10th
Percentile
74.238 -- 122.026 2169 14.83 215874.40 3.33 >10th to 25th Percentile
122.785 -- 276.961 3680 25.16 684699.90 10.56 >25th to 50th Percentile
278.190 -- 756.199 3649 24.94 1638619.00 25.28 >50th to 75th Percentile
760.668 -- 997.847 2195 15.00 1951307.00 30.11 >75th to 90th Percentile
999.308 -- 9420.341 1461 9.99 1817265.00 28.04 >90th to 100th Percentile
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WRWT49 -
Replicated/JackKnife Weight 49
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 72.382 1470 10.05 167837.80 2.59 Minimum to 10th
Percentile
73.134 -- 122.472 2161 14.77 214654.90 3.31 >10th to 25th Percentile
122.613 -- 275.094 3723 25.45 694691.10 10.72 >25th to 50th Percentile
276.827 -- 753.006 3618 24.73 1629407.00 25.14 >50th to 75th Percentile
754.027 -- 1001.991 2302 15.74 2057175.00 31.74 >75th to 90th Percentile
1005.986 -- 8841.631 1355 9.26 1717407.00 26.50 >90th to 100th Percentile
WRWT50 -
Replicated/JackKnife Weight 50
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 73.134 1464 10.01 154230.10 2.38 Minimum to 10th
Percentile
74.118 -- 121.047 2180 14.90 216959.40 3.35 >10th to 25th Percentile
122.918 -- 276.451 3688 25.21 688657.00 10.63 >25th to 50th Percentile
277.137 -- 756.391 3666 25.06 1658875.00 25.60 >50th to 75th Percentile
759.736 -- 993.124 2218 15.16 1982536.00 30.59 >75th to 90th Percentile
995.604 -- 8120.722 1413 9.66 1779916.00 27.46 >90th to 100th Percentile
WRWT51 -
Replicated/JackKnife Weight 51
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 75.496 1463 10.00 159611.10 2.46 Minimum to 10th
Percentile
76.292 -- 121.047 2183 14.92 217330.20 3.35 >10th to 25th Percentile
121.830 -- 275.224 3676 25.13 685628.50 10.58 >25th to 50th Percentile
276.158 -- 754.027 3656 24.99 1643645.00 25.36 >50th to 75th Percentile
756.880 -- 999.389 2211 15.11 1967488.00 30.36 >75th to 90th Percentile
1000.261 -- 8120.722 1440 9.84 1807470.00 27.89 >90th to 100th Percentile
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WRWT52 -
Replicated/JackKnife Weight 52
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 72.449 1467 10.03 144826.40 2.23 Minimum to 10th
Percentile
73.134 -- 121.153 2215 15.14 221729.50 3.42 >10th to 25th Percentile
122.638 -- 277.779 3683 25.18 694926.40 10.72 >25th to 50th Percentile
279.808 -- 764.310 3628 24.80 1652052.00 25.49 >50th to 75th Percentile
769.677 -- 995.765 2181 14.91 1945204.00 30.01 >75th to 90th Percentile
996.917 -- 8120.722 1455 9.95 1822434.00 28.12 >90th to 100th Percentile
WRWT53 -
Replicated/JackKnife Weight 53
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 71.493 1465 10.01 159170.90 2.46 Minimum to 10th
Percentile
72.774 -- 121.268 2231 15.25 223081.90 3.44 >10th to 25th Percentile
121.916 -- 277.624 3656 24.99 686541.00 10.59 >25th to 50th Percentile
282.381 -- 752.915 3605 24.64 1620325.00 25.00 >50th to 75th Percentile
760.668 -- 997.265 2258 15.44 2009971.00 31.01 >75th to 90th Percentile
997.847 -- 8120.722 1414 9.67 1782083.00 27.50 >90th to 100th Percentile
WRWT54 -
Replicated/JackKnife Weight 54
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 76.291 1477 10.10 162707.40 2.51 Minimum to 10th
Percentile
77.132 -- 121.340 2188 14.96 219298.80 3.38 >10th to 25th Percentile
121.619 -- 277.624 3667 25.07 685862.50 10.58 >25th to 50th Percentile
278.730 -- 762.273 3643 24.90 1635778.00 25.24 >50th to 75th Percentile
775.828 -- 1000.524 2210 15.11 1965963.00 30.33 >75th to 90th Percentile
1006.887 -- 8120.722 1444 9.87 1811564.00 27.95 >90th to 100th Percentile
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2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
WRWT55 -
Replicated/JackKnife Weight 55
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 71.523 1478 10.10 166014.60 2.56 Minimum to 10th
Percentile
73.106 -- 121.355 2159 14.76 214808.50 3.31 >10th to 25th Percentile
121.555 -- 281.593 3756 25.68 703769.40 10.86 >25th to 50th Percentile
282.444 -- 754.027 3582 24.49 1617552.00 24.96 >50th to 75th Percentile
762.273 -- 997.265 2295 15.69 2049367.00 31.62 >75th to 90th Percentile
999.308 -- 8120.722 1359 9.29 1729661.00 26.69 >90th to 100th Percentile
WRWT56 -
Replicated/JackKnife Weight 56
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 74.252 1468 10.03 155026.20 2.39 Minimum to 10th
Percentile
75.496 -- 123.461 2210 15.11 220712.30 3.41 >10th to 25th Percentile
123.673 -- 278.844 3638 24.87 678995.30 10.48 >25th to 50th Percentile
279.896 -- 754.027 3656 24.99 1643220.00 25.35 >50th to 75th Percentile
756.880 -- 990.745 2196 15.01 1951880.00 30.12 >75th to 90th Percentile
995.765 -- 8120.722 1461 9.99 1831339.00 28.26 >90th to 100th Percentile
WRWT57 -
Replicated/JackKnife Weight 57
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 74.607 1463 10.00 160054.60 2.47 Minimum to 10th
Percentile
75.795 -- 123.369 2246 15.35 225208.90 3.47 >10th to 25th Percentile
123.638 -- 277.013 3626 24.79 680844.80 10.50 >25th to 50th Percentile
277.932 -- 754.027 3642 24.90 1639779.00 25.30 >50th to 75th Percentile
762.425 -- 993.699 2328 15.91 2083224.00 32.14 >75th to 90th Percentile
995.765 -- 8120.722 1324 9.05 1692061.00 26.11 >90th to 100th Percentile
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2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
WRWT58 -
Replicated/JackKnife Weight 58
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 75.752 1465 10.01 154381.50 2.38 Minimum to 10th
Percentile
76.299 -- 123.369 2216 15.15 222446.40 3.43 >10th to 25th Percentile
123.543 -- 281.699 3679 25.15 693217.30 10.70 >25th to 50th Percentile
284.072 -- 745.181 3593 24.56 1617334.00 24.95 >50th to 75th Percentile
745.989 -- 999.477 2394 16.36 2141058.00 33.04 >75th to 90th Percentile
1000.261 -- 8120.722 1282 8.76 1652736.00 25.50 >90th to 100th Percentile
WRWT59 -
Replicated/JackKnife Weight 59
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 73.918 1471 10.06 158527.40 2.45 Minimum to 10th
Percentile
74.168 -- 121.340 2174 14.86 216898.90 3.35 >10th to 25th Percentile
122.529 -- 279.000 3685 25.19 687534.90 10.61 >25th to 50th Percentile
280.621 -- 746.573 3640 24.88 1635922.00 25.24 >50th to 75th Percentile
747.611 -- 997.265 2275 15.55 2030035.00 31.32 >75th to 90th Percentile
999.477 -- 8120.722 1384 9.46 1752255.00 27.04 >90th to 100th Percentile
WRWT60 -
Replicated/JackKnife Weight 60
Unweighted Weighted
Value Count Percent Count Percent Formatted Value
0.000 -- 71.615 1466 10.02 177221.10 2.73 Minimum to 10th
Percentile
73.097 -- 120.939 2188 14.96 217047.20 3.35 >10th to 25th Percentile
122.544 -- 278.540 3675 25.12 683703.70 10.55 >25th to 50th Percentile
279.778 -- 745.989 3640 24.88 1631477.00 25.17 >50th to 75th Percentile
746.510 -- 1001.991 2212 15.12 1966388.00 30.34 >75th to 90th Percentile
1003.870 -- 9169.068 1448 9.90 1805337.00 27.86 >90th to 100th Percentile
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2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
PAGE IS INTENTIONALLY LEFT BLANK TO ALLOW FOR DOUBLE-SIDED COPYING
12/27/11 232
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES – QUARTER II
REFERENCES
Brick, J.M., P. Broene, P. James, and J. Severynse. A User’s Guide to WesVarPC. Version 2.0. Rockville, MD:
Westat, Inc., 1996.
Brick, J.M. and G. Kalton. “Handling Missing Data in Survey Research.” Statistical Methods in Medical Research
1996; 5: 215-238.
Clusen, N.A., D.S. Jang. “The 2000 Health Care Survey of DoD Beneficiaries: Quarter One Adult Sample Design.”
Mathematica Policy Research, Inc.: Washington, DC: 2000.
Ware J.E., Kosinski M., and Keller S.D. SF-12: How to Score the SF-12 Physical and Mental Health Summary
Scales. Boston, MA: The Health Institute, New England Medical Center, Second Edition, 1995.
12/27/11 233
APPENDIX B
CROSSWALK BETWEEN 1994/5, 1996, 1997, 1998,
1999, AND 2000 QUESTIONS FOR ADULT HCSDB
CROSSWALK BETWEEN 1994/5, 1996, 1997, 1998, 1999, AND 2000 ADULT SURVEY QUESTIONS
Difference Between 1999
2000 Adult Survey Related Questions in Earlier Surveys and 2000 Questions
2000 1999 1998 1997 1996 1994-1995
Q2 Q1 Identical
Variable Question Question Question to Question Identical Question Identical Question Identical Question Identical
Name Number Number Number Q1 2000 Number to 1999 Number to 1998 Number to 1997 Number to 1996
H00001 Q.01 Q.01 Q.02 Q.50 Question worded differently;
response categories
changed: FEHBP, USFHP,
“not sure”, “did not use”
added.
H00002 Q.02 Q.02 Q.04 Q.43 Q.39 Question worded differently
to include all health plans
over the past months and
years on plan; response
categories changed.
H00003A- Q.03* Q.03 Q.07 Q.45,Q.47 Q.74,Q.75 Question worded differently;
H00003L response category “which of
the following“ added.
H00004 Q.04 Q.04
H00005 Q.05
H00006 Q.05 Q.06 Q.22
H00007 Q.06 Q.07 Q.23
H00008 Q.07 Q.08 Q.24 Q.51
H00009 Q.08 Q.13 Q.25 Q.52
H00010 Q.09 Q.14 Q.03 Q.36 Q.76 Response “Not Sure”
removed.
H00011 Q.10 Q.15 Q.05 Q.38 Q.79 Q.72 Explanation worded
differently; response "Not a
member” added.
H00012 Q.11 Q.16
H00013 Q.12 Q.17 Q.26 Q.53 Question worded differently;
“or nurse” added.
H00014 Q.13 Q.18 Q.27 Q.54
H00015 Q.14 Q.19 Q.28 Q.55
H00016 Q.15 Q.21 Q.30 Q.56
H00017 Q.16 Q.22 Q.31
H00018 Q.17 Q.23 Q.32 Q.84
H00019 Q.18 Q.24 Q.33 Q.85 Response worded
differently; word “medical”
deleted
H00020 Q.19 Q.25
B-3
* Category E was revised to include Medicare HMOs
** Error in responses corrected
*** Response category revised
Difference Between 1999
2000 Adult Survey Related Questions in Earlier Surveys and 2000 Questions
2000 1999 1998 1997 1996 1994-1995
Q2 Q1 Identical
Variable Question Question Question to Question Identical Question Identical Question Identical Question Identical
Name Number Number Number Q1 2000 Number to 1999 Number to 1998 Number to 1997 Number to 1996
H00021 Q.20 Q.26 Q.43 Question wording and
responses changed.
H00022 Q.21 Q.27
H00023 Q.22 Q.28
H00024 Q.23 Q.29 Q.44 Question wording and
responses changed.
H00025 Q.24 Q.30
H00026 Q.25 Q.31 Q.38 Q.10,Q.12 Q.32 Question worded differently;
response categories added.
H00027 Q.26 Q.32 Q.40, Military and civilian facilities
Q.41 in one question for 2000.
H00028 Q.27 Q.33 Q.47 Q.59 Question worded differently;
“for yourself that” omitted.
H00029 Q.28 Q.34 Q.48 Q.60 Question worded differently;
“your” omitted.
H00030 Q.29 Q.35 Q.46 Q.83 Q.48, Q.63 Q.43, Q.13 Question worded differently;
Q.56 time frame changed to 15
minutes.
H00031 Q.30 Q.36 Q.49 Q.90 Q.67V, Q.60V, Q.39A,
Q.52V Q.47V Q.39B
H00032 Q.31 Q.37 Q.50 Q.91
H00033 Q.32 Q.38 Q.51 Q.92 Q.67T, Q.60T, Q.39A,
Q.52T Q.47T Q.39B
H00034 Q.33 Q.39 Q.52 Q.93 Q.67R-S, Q.60R-S, Q.37A-B,
Q.52R-S Q.47R-S Q.38A-B
H00035 Q.34 Q.40 Q.53 Q.94
H00036 Q.35 Q.41 Q.54 Q.95 Q.67AA, Q.60AA, Q.46A,
Q.52AA Q.52AA Q.46B
H00037 Q.36 Q.45 Q.55 Q.96
H00038 Q.40 Q.46
H00039 Q.41 Q.47
H00040 Q.42 Q.48
H00041 Q.43 Q.49 Q.56 Q.14 Q.53, Q.54 Response categories
changed.
H00042 Q.44 Q.50 Q.37 Q.74 Q.31 Q.28 Q.01 Response categories added.
H00043 Q.45 Q.57 Q.57 Q.61 Response numbering
changed.
H00044 Q.46 Q.58 Q.58 Q.62
H00045 Q.47 Q.59 Q.59 Q.63
B-4
* Category E was revised to include Medicare HMOs
** Error in responses corrected
*** Response category revised
Difference Between 1999
2000 Adult Survey Related Questions in Earlier Surveys and 2000 Questions
2000 1999 1998 1997 1996 1994-1995
Q2 Q1 Identical
Variable Question Question Question to Question Identical Question Identical Question Identical Question Identical
Name Number Number Number Q1 2000 Number to 1999 Number to 1998 Number to 1997 Number to 1996
H00046 Q.48 Q.60 Q.60 Q.64
H00047 Q.49 Q.61 Q.62 Q.65 Response category "yes
but" added.
H00048 Q.50 Q.62 Q.63 Q.66
H00049 Q.51 Q.63 Q.64 Q.67
H00050 Q.52 Q.64 Q.65 Q.68
H00051 Q.53 Q.65 Q.68 Q.70
H00052 Q.54 Q.66 Q.69 Q.72
H00053 Q.55 Q.67 Q.70 Q.71
H00054 Q.56 Q.68 Q.66 Explanation wording
changed.
H00055 Q.57 Q.69 Q.67
H00056 Q.58 Q.70 Q.71 Q.73
H00057 Q.59 Q.71 Q.72 Q.37
H00058 Q.60** Q.72 Q.73 Q.39 Q.83 Q.74 Identical wording,
underlining changed.
H00059 Q.61 Q.73 Q61 Q.49A, Question worded differently;
Q.49B response changed from grid
to categories.
H00060 Q.74 New question for 2000.
H00061 Q.62 Q.75 Q.08 Q.16 Q.11 Q.10 Q.04A
H00062 Q.63 Q.76 Q.09A Q.17A Q.12 Q.11 Q.04B
H00063 Q.64 Q.77 Q.09B Q.17B Response wording changed;
category removed.
H00064 Q.65 Q.78 Q.10 Q.18 Q.13 Q.12 Q.04C
H00065 Q.66 Q.79 Q.11 Q.19 Q.14 Q.13 Q.04E
H00066 Q.67 Q.80 Q.12 Q.21 Q.17 Response numbering
changed.
H00067 Q.68 Q.81 Q.13 Q.22 Q.18 Response numbering
changed.
H00068 Q.69 Q.82 Q.14 Q.23 Q.19 Response numbering
changed.
H00069 Q.70 Q.83 Q.15 Q.24 Q.20
H00070 Q.71 Q.84 Q.16
H00071 Q.72 Q.85 Q.17 Q.27 Q.23 Q.04K
H00072 Q.73 Q.86 Q.18 Q.28 Q.24 Q.22 Q.04I
H00073A Q.74 Q.87A Q.19A Q.29A
B-5
* Category E was revised to include Medicare HMOs
** Error in responses corrected
*** Response category revised
Difference Between 1999
2000 Adult Survey Related Questions in Earlier Surveys and 2000 Questions
2000 1999 1998 1997 1996 1994-1995
Q2 Q1 Identical
Variable Question Question Question to Question Identical Question Identical Question Identical Question Identical
Name Number Number Number Q1 2000 Number to 1999 Number to 1998 Number to 1997 Number to 1996
H00073B Q.75*** Q.87B Q.19B Q.29B Q.26 Q.23 Q.04J Responses worded
differently.
H00074 Q.76 Q.88 Q.19C Q.29C Q.27 Response worded
differently; word “physical”
removed.
H00075 Q.77 Q.89 Q.20 Q.30 Q.28 Q.25 Q.85
H00076A Q.78 Q.90A Q.21A
H00076B Q.79 Q.90B Q.21B Q.31 Q.29 Q.26 Q.86
H00077 Q.80 Q.91 Q.77 Q.105 Q.01 Q.01 Q.72 Question worded differently.
SRHIGH Q.81 Q.100 Q.86
H00079 Q.82 Q.101 Q.84
SRRACEA- Q.83 Q.102 Q.85
SRRACEE
SRAGE Q.84 Q.103
H00085A- Q.100 Q.107
H00085J
H00082A Q.104A
H00082B Q.104B
H00083A- Q.98 Q.105
H00083I
H00084 Q.99 Q.106
S00C01 Q.09
S00C02 Q.10
S00C03 Q.11
S00C04 Q.12
S00C05 Q.20
S00C06 Q.42
S00C07 Q.43
S00C08 Q.44
S00C09 Q.51
S00C10 Q.52
S00C11 Q.53
S00C12 Q.54
S00C13 Q.55
S00C14 Q.56
S00C15 Q.92
S00C16 Q.93
S00C17 Q.94
S00C18 Q.95
B-6
* Category E was revised to include Medicare HMOs
** Error in responses corrected
*** Response category revised
Difference Between 1999
2000 Adult Survey Related Questions in Earlier Surveys and 2000 Questions
2000 1999 1998 1997 1996 1994-1995
Q2 Q1 Identical
Variable Question Question Question to Question Identical Question Identical Question Identical Question Identical
Name Number Number Number Q1 2000 Number to 1999 Number to 1998 Number to 1997 Number to 1996
S00C19 Q.96
S00C20 Q.97
S00C21 Q.98
S00C22 Q.99
S00M01 Q.37
S00M02 Q.38
S00M03 Q.39
S00A01A- Q.85
S00A01R
S00A02 Q.86-
S00A03 Q.87
S00A04 Q.88
S00A05A- Q.89
S00A05H
S00A06 Q.90
S00A07 Q.91
S00A08 Q.92
S00A09 Q.93
S00A10 Q.94
S00A11A- Q.95
S00A11J
S00A12 Q.96
S00A13 Q.97
B-7
* Category E was revised to include Medicare HMOs
** Error in responses corrected
*** Response category revised
APPENDIX C
CODING SCHEME AND CODING TABLES
2000 HEALTH CARE SURVEY OF DOD BENEFICIARIES (HCSDB)
CODING SCHEME AND CODING TABLES
BASIC SAS AND ASCII/EBCDIC MISSING DATA AND NOT APPLICABLE CODES
SAS ASCII/EBCDIC
Numeric Numeric Description
. -9 No response
.A -8 Multiple response error
.O -7 Out of range error
.N -6 Not Applicable or valid skip
.D -5 Scalable response of “Don‟t know” or “not sure”
.I -4 Incomplete grid error
.C -1 Question should have been skipped.
Missing values „.‟, multiple responses „.A‟, and incomplete grids „.I‟ are encoded prior to implementation of the
Coding Scheme Notes (see below).
Coding Table for Note 1:
H00001, H0002
N1 H00001 H00002 H00001 H00002 *
is: is: is coded as: is coded as:
C-3
1 1-9, health plan, Marked, missing, or Stands as original value Stands as original value
-5, not sure multiple response
2 -6, no usage in past Marked or multiple Stands as original value .C, question should be F
12 months response skipped
3 -6, no usage in past Missing response Stands as original value .N, valid skip F
12 months
4 Missing response Marked, missing, or Stands as original value Stands as original value
multiple response
5 Multiple response Marked or multiple Stands as original value Stands as original value
response
6 Multiple response Missing response -6: Did not use any .N, valid skip B
health plan in the last 12
months
* Indication of backward coding (B) or forward coding (F).
Coding Table for Note 2:
H00006, H00007
N2 H00006 H00007 H00006 H00007 *
is: is: is coded as: is coded as:
1 1: yes 1-3, missing, or multiple Stands as original value Stands as original value
response
2 1: yes, missing, or multiple -6: didn‟t get a new 2: No .C question should be skipped B
response doctor
3 2: no, missing, or multiple 1- 3 1: yes Stands as original value B
response
4 2: no Missing, multiple Stands as original value .N, valid skip if missing, .C, F
response, or –6: didn‟t question should be skipped if
get a new doctor marked
5 Missing response Multiple response 1: yes Stands as original value B
6 Missing response Missing response Stands as original value Stands as original value
7 Multiple response Missing response 2: no .N, valid skip B
8 Multiple response Multiple response Stands as original value Stands as original value
* Indication of backward coding (B) or forward coding (F).
C-4
Coding Table for Note 3:
H00008, H00009
N3 H00008 H00009 H00008 H00009 *
is: is: is coded as: is coded as:
1 1: yes 0-10, missing, or Stands as original value Stand as original value
multiple response
2 1: yes, missing, or multiple -6, I don‟t have a 2: no .C, question should be skipped B
response personal doctor or nurse F
3 2: no, missing, or multiple 0-10 or multiple 1: yes Stands as original value B
response response
4 2: no -6, I don‟t have a Stands as original value .N, valid skip if missing; F
personal doctor or .C, question should be skipped if
nurse, or missing marked
5 Missing response Missing response Stands as original value Stands as original value
6 Multiple response Missing response 2: no .N, valid skip B
7 Multiple response Multiple response Stands as original value Stands as original value
* Indication of backward coding (B) or forward coding (F).
Coding Table for Note 4:
H00010, H00011, H00012
N4 H00010 is: H00011 & H00012 H00010 H00011 & H00012 *
are: is coded as: are coded as:
1 1: yes At least one is Stands as original value Stand as original value
“marked” or “all are
blank”
2 1: yes, missing, or “Blank or NA” 2: no .N, valid skip B
multiple response
3 2: no, missing, or At least one is 1: yes Stand as original value B
multiple response “marked”
4 2: no “Blank or NA” or Stands as original value .N, valid skip if missing; F
“all are blank” .C, question should be skipped if
marked
5 Missing response “All are blank” Stands as original value Stand as original value
6 Multiple response “All are blank” 2: no .N, valid skip B
* Indication of backward coding (B) or forward coding (F).
Definition of “all are blank” in Coding Table for Note 5:
Responses to H00011 an H00012 are both missing.
Definition of “blank or NA” in Coding Table for Note 5:
Response to H00011 is not applicable (-6), and H00012 is missing.
Definition of “marked” in Coding Table for Note 5:
Any pattern of marks outside the definitions “all are blank” and “blank or NA”
C-5
Coding Table for Note 5:
H00013, H00014
N5 H00013 H00014 H00013 H00014 *
is: is: is coded as: is coded as:
1 1: yes 1, 2, 3, missing, or Stands as original value Stands as original value
multiple response
2 1: yes, missing, or multiple -6: didn‟t need to see a 2: No .C question should be skipped B
response specialist
3 2: no, missing, or multiple 1, 2, 3 1: yes Stands as original value B
response
4 2: no Missing, multiple Stands as original value .N, valid skip if missing, .C, F
response, or –6: didn‟t question should be skipped if
need to see a specialist marked
5 Missing response Multiple response 1: yes Stands as original value B
6 Missing response Missing response Stands as original value Stands as original value
7 Multiple response Missing response 2: no .N, valid skip B
* Indication of backward coding (B) or forward coding (F).
Coding Table for Note 6:
H00015, H00016, H00017
N6 H00015 H00016 & H00017 H00015 H00016 & H00017 *
is: Are: is coded as: Are coded as:
1 1: yes “All are blank” or at least Stands as original value Stand as original value
one is “marked”
2 1: yes, missing, or “Blank or NA” 2:no .N, valid skip if missing; BF
multiple response .C, question should be skipped if
marked
3 2: no, missing, or At leas one is “marked” 1: yes Stand as original value B
multiple response
4 2: no “All are blank” or “blank or Stands as original value .N, valid skip if missing, .C, F
NA” question should be skipped if
marked
5 Missing response “All are blank” Stands as original value Stand as original value
6 Multiple response “All are blank” Missing response Missing response B
* Indication of backward coding (B) or forward coding (F).
Definition of “all are blank” in Coding Table for Note 6:
H00016 and H0017 are both missing.
Definition of “blank or NA” in Coding Table for Note 6:
H00016 and H00017 are either both not applicable (-6), or a combination of not applicable (-6) and missing.
Definition of “marked” in Coding Table for Note 6:
Any pattern of marks outside the definitions “all are blank” and “blank or NA.”
C-6
Coding Table for Note 7:
H00018, H00019
N7 H00018 is: H00019 is: H00018 is coded as: H00019 is coded as: *
1 1: yes 1-4: how often, Stands as original value Stands as original value
missing, or multiple
response
2 1: yes, missing, or -6: no calls 2: no .C, question should be skipped B
multiple response F
3 2: no, missing or 1-4: how often 1: yes Stands as original value B
multiple response
4 2: no -6: no calls, missing, Stands as original value .N, valid skip if missing; F
or multiple response .C, question should be skipped if
marked
5 Missing response Multiple response 1: yes Stands as original value B
6 Missing response Missing response Stands as original value Stands as original value
7 Multiple response Multiple response Stands as original value Stands as original value
8 Multiple response Missing response 2: no .N, valid skip B
* Indication of backward coding (B) or forward coding (F).
Coding Table for Note 8:
H00020, H00021, H00022
N8 H00020 is: H00021 & H00022 H00020 H00021 & H00022 *
are: is coded as: are coded as:
1 1: yes At least one is Stands as original value Stand as original value
“marked” or “all are
blank”
2 1: yes, missing, or “Blank or NA” 2: no .N, valid skip B
multiple response
3 2: no, missing, or At least one is 1: yes Stand as original value B
multiple response “marked”
4 2: no “Blank or NA” or Stands as original value .N, valid skip if missing; F
“all are blank” .C, question should be skipped if
marked
5 Missing response “All are blank” Stands as original value Stand as original value
6 Multiple response “All are blank” 2: no .N, valid skip B
* Indication of backward coding (B) or forward coding (F).
Definition of “all are blank” in Coding Table for Note 8:
Responses to H00020 an H00021 are both missing.
Definition of “blank or NA” in Coding Table for Note 8:
Responses to H00020 and H00021 are either all not applicable (-6) or a combination of missing response and not applicable (-
6).
Definition of “marked” in Coding Table for Note 8:
Any pattern of marks outside the definitions “all are blank” and “blank or NA”
C-7
Coding Table for Note 9:
H00023, H00024, H00025
N9 H00023 is: H00024 & H00025 H00023 H00024 & H00025 *
are: is coded as: are coded as:
1 1: yes At least one is Stands as original value Stand as original value
“marked” or “all are
blank”
2 1: yes, missing, or “Blank or NA” 2: no .N, valid skip B
multiple response
3 2: no, missing, or At least one is 1: yes Stand as original value B
multiple response “marked”
4 2: no “Blank or NA” or Stands as original value .N, valid skip if missing; F
“all are blank” .C, question should be skipped if
marked
5 Missing response “All are blank” Stands as original value Stand as original value
6 Multiple response “All are blank” 2: no .N, valid skip B
* Indication of backward coding (B) or forward coding (F).
Definition of “all are blank” in Coding Table for Note 9:
Responses to H00024 and H00025 are both missing.
Definition of “blank or NA” in Coding Table for Note 9:
Responses to H00024 and H00025 are either both not applicable (-6) or a combination of missing response and not applicable
(-6).
Definition of “marked” in Coding Table for Note 9:
Any pattern of marks outside the definitions “all are blank” and “blank or NA”
Coding Table for Note 10:
H00027, H00028-H00038
N10 H00027 H00028- H00038 are: H00027 is H00028- H00038 *
is: coded as: are coded as:
1 1: None “All are blank” Stands as original value .N, valid skip if missing, F
or “blank or NA” .C, question should be skipped if
marked
2 1: none, missing, or At least one is Stands as original value Stand as original value
multiple response “marked”
3 2-7, missing, or “Blank or NA” 1: None .N, valid skip if missing; B
multiple response .C, question should be skipped if
marked
4 2-7 At least one is Stands as original value Stand as original value F
“marked” or
“all are blank”
5 Missing response “All are blank” Stands as original value Stand as original value
6 Multiple response “All are blank” 1: None .N, valid skip B
* Indication of backward coding (B) or forward coding (F).
Definition of “all are blank” in Coding Table for Note 10:
Responses to H00028-H00038 are all missing.
C-8
Definition of “Blank or No or NA” in Coding Table for Note 10:
Responses to H00028-H00038, are either all not applicable (-6) or a combination of missing response and not applicable (-6).
Definition of “marked” in Coding Table for Note 10:
Any pattern of marks outside the definitions “all are blank” and “Blank or No or NA.”
Coding Table for Note 11:
S00M01, S00M02, S00M03
N11 S00M01 is: S00M02 & S00M03 S00M01 is S00M02 & S00M03 *
are: coded as: are coded as:
1 1: yes At least one is Stands as original value Stand as original value
“marked” or “all are
blank”
2 1: yes, missing, or “Blank or NA” 2: no .N, valid skip B
multiple response
3 2: no, missing, or At least one is 1: yes Stand as original value B
multiple response “marked”
4 2: no “Blank or NA” or Stands as original value .N, valid skip if missing; F
“All are blank” .C, question should be skipped if
marked
5 Missing response “All are blank” Stands as original value Stand as original value
6 Multiple response “All are blank” 2: no .N, valid skip B
* Indication of backward coding (B) or forward coding (F).
Definition of “all are blank” in Coding Table for Note 11:
Responses to S00M02 and S00M03 are both missing.
Definition of “Blank or NA” in Coding Table for Note 11:
Responses to S00M02 and S00M03 are either both not applicable (-6) or a combination of missing response and not applicable
(-6).
Definition of “marked” in Coding Table for Note 11:
Any pattern of marks outside the definitions “all are blank” and “Blank or No or NA.”
C-9
Coding Table for Note 12:
H00043, H00044-H00046
N12 H00043 is: H00044-H00046 H00043 H00044-H00046 *
are: is coded as: are coded as:
1 1: yes, At least one is “marked” Stands as original value Stand as original value
3: don‟t know or “all are blank”
2 1: yes, 3: don‟t know, “Blank or NA” 2: no .N, valid skip if missing; B
missing, or multiple .C, question should be skipped if
response marked
3 2: no, missing, or At least one is “marked” 1: yes Stand as original value B
multiple response
4 2: no “Blank or NA” or Stands as original value .N, valid skip if missing;
“all are blank” .C, question should be skipped if
marked
5 Missing response “All are blank” Stands as original value Stand as original value
6 Multiple response “All are blank” 2: no .N, valid skip B
* Indication of backward coding (B) or forward coding (F).
Definition of “all are blank” in Coding Table for Note 12:
Responses to H00044-H00046 are all missing.
Definition of “blank or NA” in Coding Table for Note 12:
Responses to H00044-H00046 are either all not applicable (-6) or a combination of missing and not applicable (-6).
Definition of “marked” in Coding Table for Note 12:
Any pattern of marks outside the definitions “NA” and “blank or NA.”
Table for Note 13:
H00047, H00048
N13 H00047 is: H00048 is: H00047 is coded as: H00048 is coded as: *
1 1: yes 1-3: categorize problem, Stands as original value Stands as original value
missing, or multiple
response
2 1: yes, missing, or -6: not applicable 2: no .C, question should be skipped B
multiple response F
3 2: yes but never got 1-3: categorize problem 1: yes Stands as original value B
information,
3: no, missing, or
multiple response
4 2: yes but never got -6: not applicable or Stands as original value .N, valid skip if missing; F
information, missing response .C, question should be skipped if
3: no marked
5 Missing response Multiple response 1: yes Stands as original value B
6 Missing response Missing response Stands as original value Stands as original value
7 Multiple response Missing response 2: no .N, valid skip B
* Indication of backward coding (B) or forward coding (F).
C-10
Coding Table for Note 14:
H00049, H00050
N14 H00049 is: H00050 is: H00049 is coded as: H00050 is coded as: *
1 1: yes 1-3: categorize Stands as original value Stands as original value
problem, missing, or
multiple response
2 1: yes, missing, or multiple -6: not applicable 2: no .C, question should be skipped B
response F
3 2: no, missing, or multiple 1-3: categorize 1: yes Stands as original value B
response problem
4 2: no -6: not applicable, Stands as original value .N, valid skip if missing; F
missing, or multiple .C, question should be skipped if
response marked
5 Missing response Multiple response 1: yes Stands as original value B
6 Missing response Missing response Stands as original value Stands as original value
7 Multiple response Missing response 2: no .N, valid skip B
* Indication of backward coding (B) or forward coding (F).
Coding Table for Note 15:
H00051, H00052, H00053
N15 H00051 H00052 & H00053 H00051 H00052 & H00053 *
is: are: is coded as: are coded as:
1 1: yes At least one is Stands as original value Stand as original value
“marked” or “all are
blank”
2 1: yes, missing, or “Blank or NA” 2: no .N, valid skip B
multiple response
3 2: no, missing, or At least one is 1: yes Stand as original value B
multiple response “marked”
4 2: no “Blank or NA” or Stands as original value .N, valid skip if missing; F
“all are blank” .C, question should be skipped if
marked
5 Missing response “All are blank” Stands as original value Stand as original value
6 Multiple response “All are blank” 2: no .N, valid skip B
* Indication of backward coding (B) or forward coding (F).
Definition of “all are blank” in Coding Table for Note 15:
Responses to H00052 an H00053 are both missing.
Definition of “blank or NA” in Coding Table for Note 15:
Responses to H00052 and H00053 are either all not applicable (-6) or a combination of missing response and not applicable (-
6).
Definition of “marked” in Coding Table for Note 15:
Any pattern of marks outside the definitions “all are blank” and “blank or NA”
C-11
Coding Table for Note 16:
H00054, H00055
N16 H00054 is: H00055 is: H00054 is coded as: H00055 is coded as: *
1 1: yes 1-3: categorize Stands as original value Stands as original value
problem, missing, or
multiple response
2 1: yes, missing, or multiple -6: not applicable 2: no .C, question should be skipped B
response F
3 2: no, missing, or multiple 1-3: categorize 1: yes Stands as original value B
response problem, or multiple
response
4 2: no -6: not applicable or Stands as original value .N, valid skip if missing;
missing response .C, question should be skipped if
marked
5 Missing response Missing response Stands as original value Stands as original value
6 Multiple response Missing response 2: no .N, valid skip B
* Indication of backward coding (B) or forward coding (F).
C-12
Coding Table for Note 17:
H00066--H00069
N17 H00066 H00067 H00068 H00069 H00066 H00067 H00068 H00069 *
is: is: is: is: is coded as: is coded as: is coded as: is coded as:
1 1: ever 3 or 4: still Marked or Any value Stands as Stands as .C, question Stands as F
smoked smoke multiple original original should be original
response value value skipped value
2 1: ever 3 or 4: still Missing Any value Stands as Stands as .N, valid Stands as
smoked smoke response original original skip original
value value value
3 1: ever 2: quit 2: quit >1 Marked Stands as Stands as Stands as .C, question F
smoked year ago or – or original original original should be
5: don‟t multiple value value value skipped
know response
4 1: ever 2: quit 2: quit >1 Missing Stands as Stands as Stands as .N, valid
smoked year ago or response original original original skip
-5: don‟t value value value
know
5 1: ever 2: quit 3: quit 1 Marked Stands as 2: quit Stands as .C, question F
smoked missing, or year ago or original original should be B
multiple multiple value value skipped
response response
7 1: ever -5: don‟t know, 2: quit >1 Missing Stands as 2: quit Stands as .N, valid F
smoked missing, or year ago response original original skip B
multiple value value
response
8 1: ever -5: don‟t know, 3: quit 1 Marked 1: ever Stands as Stands as .C, question B
multiple missing, or year ago or smoked original original should be F
response multiple multiple value value skipped
response response
22 Missing or 2: quit, 2: quit >1 Missing 1: ever Stands as Stands as .N, valid B
multiple missing, or year ago response smoked original original skip
response multiple value value
response
23 Missing or 2: quit, -5: don‟t Missing Stands as Stands as Stands as .N, valid
multiple missing, or know response original original original skip
response multiple value value value
response
24 Missing or 2: quit, -5: don‟t Marked Stands as Stands as Stands as .C, question F
multiple missing, or know or original original original should be
response multiple multiple value value value skipped
response response
25 Missing or 2: quit, Missing or 2-5: some 1: ever Stands as Stands as Stands as B
multiple missing, or multiple visits smoked original original original
response multiple response value value value
response
26 Missing or 2: quit, Missing or 1: none, Stands as Stands as Stands as Stands as
multiple missing, or multiple missing, original original original original
response multiple response or value value value value
response multiple
response
27 Missing or -5: don‟t know Marked or Marked Stands as Stands as .C, question .C, question F
multiple multiple or original original should be should be
response response multiple value value skipped skipped
response
28 Missing or -5: don‟t know Marked or Missing Stands as Stands as .C, question .N, valid F
multiple multiple response original original should be skip
response response value value skipped
29 Missing or -5: don‟t know Missing Missing Stands as Stands as .N, valid .N, valid
multiple response response original original skip skip
response value value
30 Missing or -5: don‟t know Missing Marked Stands as Stands as .N, valid .C, question F
multiple response or original original skip should be
response multiple value value skipped
response
* Indication of backward coding (B) or forward coding (F).
C-15
Coding Table for Note 18:
Note 18(Part A):
H00070, SEX, XSEXA
N18 H00070: SEX is: H00071 is: H00072--H00076B XSEXA is coded as:
A are:
1 Missing or multiple F Marked Any marked 2, female
response
2 Missing or multiple F Missing or multiple All missing or 2, female
response response multiple response
3 Missing or multiple M Marked Any marked 1, male
response
4 Missing or multiple M Missing or multiple All missing or 1, male
response response multiple response
5 Missing or multiple Any value Marked All missing or 1, male
response multiple response
6 Missing or multiple Any value Missing or multiple Any marked 2, female
response response
7 Missing or multiple Z Marked Any marked ., missing value
response
8 Missing or multiple Z Missing or multiple All missing or ., missing value
response response multiple response
9 1, male Any value Marked All missing or 1, male
multiple response
10 1, male F Missing or multiple Any marked 2, female
response
11 1, male M or Z Missing or multiple Any marked 1, male
response
12 1, male Any value Marked Any marked 1, male
13 1, male Any value Missing or multiple All missing or 1, male
response multiple response
14 2, female Any value Missing or multiple Any marked 2, female
response
15 2, female M Marked All missing or 1, male
multiple response
16 2, female F or Z Marked All missing or 2, female
multiple response
17 2, female Any value Marked Any marked 2, female
18 2, female Any value Missing or multiple All missing or 2, female
response multiple response
SEX is the gender from the DEERS file. This variable is not used to override questionnaire responses, but to clear up any
omissions or discrepancies in the responses.
XSEXA is the recoded gender variable after taking into account the self-reported response (H00070), any responses to gender-
specific questions, and the gender of the sample beneficiary from DEERS.
C-16
Note 18 (Part B):
XSEXA, H00071
N18B XSEXA is: H00071 is: H00071 is coded as: *
1 1: Male Marked, missing, or multiple response Stands as original value
2 2: Female Marked or multiple response .C, question should be skipped F
3 2: Female Missing response .N, valid skip F
4 Missing Any response Missing value F
* Indication of backward coding (B) or forward coding (F).
Note 18 (Part C):
XSEXA, H00072 - H00076B
N18C XSEXA is: H00072--H00076B are: H00072 --H00076B are coded as: *
1 1: Male “All are blank” .N, valid skip F
2 1: Male At least one is “marked” .N, valid skip if missing; F
.C, question should be skipped if marked
3 2: Female “All are blank” or at least one is “marked” Stands as original value
4 Missing “All are blank” or at least one is “marked” Missing value F
* Indication of backward coding (B) or forward coding (F).
Definition of “all are blank” in Coding Table for Note 18c:
All variables H00072--H00076B are missing.
Definition of “marked” in Coding Table for Note 18
Any pattern of marks outside the definition “all are blank.”
C-17
Coding Table for Note 19
XSEXA, AGE, H00073A, H00073B, H00074
H00073B & *
XSEXA AGE H00073A H00073B & H00074 H00073A H00074 are coded
N19 is: is: is: are: is coded as: as:
1 1: Male Any value .C, question should C, question should be Stands as original Stands as original
be skipped, or .N, skipped, or .N, valid value value
valid skip skip
2 2: Any value 2: 40 or over Marked, missing, or Stands as original Stand as original
Female multiple response value value
3 2: Any value 1: under 40 Marked, missing or Stands as original .N, valid skip if F
Female multiple response value missing;
.C, question should
be skipped if
marked
4 2: Any value Multiple response Marked or multiple 2: > 40 Stand as original
Female response value
5 2: Any value Multiple response Missing 1: 40 Stand as original B
Female response value
7 2: =40 Missing Missing 1: 15 min past appt see Dr
72 H00031 Num 4 282 OFTEN7_. 11. In lst yr:how oftn treat w/ crtsy/rspct
73 H00032 Num 4 286 OFTEN7_. 11. In lst yr:how oftn staff helpful
74 H00033 Num 4 290 OFTEN7_. 11. In lst yr:how oftn Drs listen to you
75 H00034 Num 4 294 OFTEN7_. 11. In lst yr:how oftn Drs explain things
76 H00035 Num 4 298 OFTEN7_. 11. In lst yr:how oftn Drs show respect
77 H00036 Num 4 302 OFTEN7_. 11. In lst yr:how oftn Drs spend enough time
78 H00037 Num 4 306 RATE3_. 11. Rating of all health care in last year
79 H00038 Num 4 310 YN. 11. MTF conveniently located to you
80 H00039 Num 4 314 MTFREC. 11. In lst yr:how much hlthcre from MTF
81 H00040 Num 4 318 PXFILL. 11. In lst yr:prscrptns filled at MTF
82 H00041 Num 4 322 OFTENPX. 11. In lst yr:prscrptns by cvl,filled at mil
83 H00042 Num 4 326 PLACE. 11. In lst yr:fclty used most for hlth care
84 H00043 Num 4 330 YNDNK. 11. In lst yr:send in any claims
85 H00044 Num 4 334 OFTEN9_. 11. In lst yr:hlth pln handle in rsnble time
86 H00045 Num 4 338 OFTEN9_. 11. In lst yr:how oftn handle correctly
87 H00046 Num 4 342 OFTEN9_. 11. In lst yr:before care, know amt to pay
88 H00047 Num 4 346 YNINFO. 11. In lst yr:info in written materials
89 H00048 Num 4 350 PROB8_. 11. In lst yr:prblm to find/undrstnd mtrls
90 H00049 Num 4 354 YN. 11. In lst yr:health plan's cstmr srvc help
91 H00050 Num 4 358 PROB9_. 11. In lst yr:prblm get help from cstmr srvc
92 H00051 Num 4 362 YN. 11. Called or written plan w/complaint/prblm
93 H00052 Num 4 366 TIME4_. 11. How long for hlth pln to resolve cmplnt
94 H00053 Num 4 370 SETTLED. 11. Complaint/prblm settled to satisfaction
95 H00054 Num 4 374 YN. 11. In lst yr:experiences w/ paperwork
96 H00055 Num 4 378 PROB10_. 11. In lst yr:problems w/ paperwork
97 H00056 Num 4 382 RATE4_. 11. Rating of all experience w/health plan
98 H00057 Num 4 386 LIKELY. 11. In nxt yr:lkly to dsnrl in TRICARE Prime
99 H00058 Num 4 390 LIKELY. 11. In nxt yr:lkly to enrl in TRICARE Prime
100 H00059 Num 4 394 COST2_. 11. In last year:expnses not cvrd hlth plan
101 H00061 Num 4 398 TIME5_. 11. Not sick/prgnt: last mdcl/physcl exam
102 H00062 Num 4 402 TIME6_. 11. Blood pressure: when last reading
103 H00063 Num 4 406 YN. 11. Blood pressure: know if too high or not
104 H00064 Num 4 410 TIME7_. 11. When last have cholesterol screening
105 H00065 Num 4 414 TIME8_. 11. When did you last have a flu shot
106 H00066 Num 4 418 SMOKE. 11. Smoked at least 100 cigarettes in life
107 H00067 Num 4 422 TIME9_. 11. Smoke everyday, some days or not at all
108 H00068 Num 4 426 TIME10_. 11. How long since you quit smoking
109 H00069 Num 4 430 OFTEN11_. 11. Lst year: # vst advised to quit smoking
D-4
The SAS System 10:29 Tuesday, August 14, 2001 3 CONTENTS PROCEDURE
# Variable Type Len Pos Format Informat Label
---------------------------------------------------------------------------------------------
110 H00070 Num 4 434 SEX. 11. Are you male or female
111 H00071 Num 4 438 TIME11_. 11. Last prostate disease exam or blood test
112 H00072 Num 4 442 TIME12_. 11. Last have a Pap smear test
115 H00074 Num 4 454 TIME14_. 11. Last time: breast exam by professional
116 H00075 Num 4 458 YNPREG. 11. Been pregnant in last yr or pregnant now
119 H00077 Num 4 470 HEALTH. 11. In gnrl, how would you rate ovrall hlth
121 H00079 Num 4 478 HISP. 11. Are you Spanish/Hispanic/Latino
137 H00084 Num 4 542 REASON2_. 11. Single most important reason to use MTF
34 H00003A Num 4 130 MARKED. 11. Health plan(s) covered: TRICARE Prime
35 H00003B Num 4 134 MARKED. 11. Health plan(s) covered: TRICARE Sr Prime
36 H00003C Num 4 138 MARKED. 11. Health plan(s) covered: TRICARE Ext/Stnd
37 H00003D Num 4 142 MARKED. 11. Health plan(s) covered: Medicare Part A
38 H00003E Num 4 146 MARKED. 11. Health plan(s) covered: Medicare Part B
39 H00003F Num 4 150 MARKED. 11. Health plan(s) covered: Medigap
40 H00003G Num 4 154 MARKED. 11. Health plan(s) covered: FEHBP
41 H00003H Num 4 158 MARKED. 11. Health plan(s) covered: Medicaid
42 H00003I Num 4 162 MARKED. 11. Health plan(s) covered: Civilian HMO
43 H00003J Num 4 166 MARKED. 11. Health plan(s) covered: Other civilian
44 H00003K Num 4 170 MARKED. 11. Health plan(s) covered: USFHP
45 H00003L Num 4 174 MARKED. 11. Health plan(s) covered: Not sure
113 H00073A Num 4 446 YN. 11. Are you under age 40
114 H00073B Num 4 450 TIME13_. 11. Last time: breasts checked mammography
117 H00076A Num 4 462 PREG1_. 11. In what trimester is your pregnancy
118 H00076B Num 4 466 PREG2_. 11. Trimester first received prenatal care
128 H00083A Num 4 506 MARKED. 11. Decision use MTF: Cost
129 H00083B Num 4 510 MARKED. 11. Decision use MTF: Location convenience
130 H00083C Num 4 514 MARKED. 11. Decision use MTF: Quality of health care
131 H00083D Num 4 518 MARKED. 11. Decision use MTF: Telephone access
132 H00083E Num 4 522 MARKED. 11. Decision use MTF: Timeliness of appts
133 H00083F Num 4 526 MARKED. 11. Decision use MTF: Miliatry courtesy
134 H00083G Num 4 530 MARKED. 11. Decision use MTF: personal physician
135 H00083H Num 4 534 MARKED. 11. Decision use MTF: co-location of svcs
136 H00083I Num 4 538 MARKED. 11. Decision use MTF: lack of paperwork
138 H00085A Num 4 546 MARKED. 11. Info sources:Retiree org. newsletter
139 H00085B Num 4 550 MARKED. 11. Info sources:Health Benefits Advisor
140 H00085C Num 4 554 MARKED. 11. Info sources:Pamphlets in MTF
141 H00085D Num 4 558 MARKED. 11. Info sources:Internet
142 H00085E Num 4 562 MARKED. 11. Info sources:Base newspaper
143 H00085F Num 4 566 MARKED. 11. Info sources:retired pay statement
144 H00085G Num 4 570 MARKED. 11. Info sources:TV
145 H00085H Num 4 574 MARKED. 11. Info sources:Radio
146 H00085I Num 4 578 MARKED. 11. Info sources:Friends or relatives
147 H00085J Num 4 582 MARKED. 11. Info sources:BCACs
261 HP_BP Num 8 1276 HAYNN2_. Bld prsre chck in lst 2 yrs,know rslts
265 HP_BRST Num 8 1308 HAYNN. Women >=40, breast exam in lst 12 mnths
266 HP_CHOL Num 8 1316 HAYNN. Cholesterol screening in lst 5 yrs
262 HP_FLU Num 8 1284 HAYNN. 65 and older, flu shot in lst 12 mnths
264 HP_GP Num 8 1300 HAYNN. General physical exam in lst 12 mnths
259 HP_MAM50 Num 8 1260 HAYNN. Women 50>=, mammography in pst 2 yrs
D-5
The SAS System 10:29 Tuesday, August 14, 2001 4 CONTENTS PROCEDURE
# Variable Type Len Pos Format Informat Label
---------------------------------------------------------------------------------------------
258 HP_MAMOG Num 8 1252 HAYNN. Women 40>=, mammography in pst 2 yrs
260 HP_PAP Num 8 1268 HAYNN. All women, Pap smear in lst 3 yrs
257 HP_PRNTL Num 8 1244 PRNTL. Prgnt in lst yr, received cre 1st trimst
263 HP_PROS Num 8 1292 HAYNN. Men 50>=, prostrate exam in lst 12 mnths
267 HP_SMOKE Num 8 1324 HAYNN. Advised to quit smoking in lst 12 mnths
248 KBGPRB1 Num 8 1172 HAYNN. Big problem getting referrals to spclst
249 KBGPRB2 Num 8 1180 HAYNN. Big problem getting necessary care
256 KBRSTCR Num 8 1236 HAYNN. Women 40>=, ever had mammogram & brst ex
252 KCIVINS Num 8 1204 HAYNN2_. Beneficiary covered by civilian insuranc
247 KCIVOFFC Num 8 1164 HAYNN. Office wait of 15 min or more-Civ
251 KCIVOPQY Num 8 1196 HAGRID. Outpatient visits to Civilian facility
253 KCOST_2 Num 8 1212 COST. Out-of-pocket costs > $500
245 KDISENRL Num 8 1148 HAYNN. Intention to disenroll
244 KENRINTN Num 8 1140 HAYNN. Intention to enroll
29 KEYCOUNT Num 8 112 # of Key Questions Answered
254 KMEDIGAP Num 8 1220 HAYNN2_. Beneficiary covered by Medigap
246 KMILOFFC Num 8 1156 HAYNN. Office wait of 15 min or more-Mil
250 KMILOPQY Num 8 1188 HAGRID. Outpatient visits to Military facility
255 KPRSCPTN Num 8 1228 HAYNN. 7 or > civ prscrptns filled by mil phmcy
16 LEGDDSCD Char 2 69 $DDSFMT. DDS Code
23 MBRRELCD Char 1 92 $MBRREL. Member Relationship Code
24 MEDTYPE Char 1 93 $MEDTYP. Medicare Type
227 MISS_1 Num 8 1014 HAMISS. Count of: Violates Skip Pattern
228 MISS_4 Num 8 1022 HAMISS. Count of: Incomplete grid error
229 MISS_5 Num 8 1030 HAMISS. Count of: Scalable reponse of Don't know
230 MISS_6 Num 8 1038 HAMISS. Count of: Not applicable - valid skip
231 MISS_7 Num 8 1046 HAMISS. Count of: Out-of-range error
232 MISS_8 Num 8 1054 HAMISS. Count of: Multiple response error
233 MISS_9 Num 8 1062 HAMISS. Count of: No response - invalid skip
234 MISS_TOT Num 8 1070 HAMISS. Total number of missing responses
8 MPCSMPL Num 8 44 MPCSMPL. MPCSMPL - Military Personnel Category
1 MPRID Char 8 0 $8. $42. Unique MPR Identifier
13 MRTLSTAT Char 1 66 $MSTATUS. Marital Status
199 N1 Num 8 790 4. Coding Scheme Note 1
200 N2 Num 8 798 4. Coding Scheme Note 2
201 N3 Num 8 806 4. Coding Scheme Note 3
202 N4 Num 8 814 4. Coding Scheme Note 4
203 N5 Num 8 822 4. Coding Scheme Note 5
204 N6 Num 8 830 4. Coding Scheme Note 6
205 N7 Num 8 838 4. Coding Scheme Note 7
206 N8 Num 8 846 4. Coding Scheme Note 8
207 N9 Num 8 854 4. Coding Scheme Note 9
208 N10 Num 8 862 4. Coding Scheme Note 10
209 N11 Num 8 870 4. Coding Scheme Note 11
210 N12 Num 8 878 4. Coding Scheme Note 12
211 N13 Num 8 886 4. Coding Scheme Note 13
212 N14 Num 8 894 4. Coding Scheme Note 14
213 N15 Num 8 902 4. Coding Scheme Note 15
214 N16 Num 8 910 4. Coding Scheme Note 16
D-6
The SAS System 10:29 Tuesday, August 14, 2001 5 CONTENTS PROCEDURE
# Variable Type Len Pos Format Informat Label
---------------------------------------------------------------------------------------------
215 N17 Num 8 918 4. Coding Scheme Note 17
219 N19 Num 8 950 4. Coding Scheme Note 19
220 N20 Num 8 958 4. Coding Scheme Note 20
221 N22 Num 8 966 4. Coding Scheme Note 22
222 N23 Num 8 974 4. Coding Scheme Note 23
223 N24 Num 8 982 4. Coding Scheme Note 24
224 N25 Num 8 990 4. Coding Scheme Note 25
225 N26 Num 8 998 4. Coding Scheme Note 26
226 N27 Num 8 1006 4. Coding Scheme Note 27
216 N18A Num 8 926 4. Coding Scheme Note 18A
217 N18B Num 8 934 4. Coding Scheme Note 18B
218 N18C Num 8 942 4. Coding Scheme Note 18C
9 NHFF Num 8 52 NHFF - Stratum Sample Size
241 OUTCATCH Num 8 1116 OCATCH. Out of catchment area indicator
25 PATCAT Char 7 94 $AGGBCAT. Aggregated Beneficiary Category
18 PCM Char 3 74 $PCM. Primary Manager Code (CIV or MIL)
26 PNARSNCD Char 2 101 $REASNCD. Person Association Reason Code
27 PNLCATCD Char 1 103 $PNLCAT. Personnel Category Code (Duty Status)
15 PNSEXCD Char 1 68 $SEXCD. Person Gender
270 POSTSTR Char 8 1347 POSTSTR - Poststratification Cell
14 RACEETHN Char 1 67 $RACECD. Race/Ethnic Code
169 S00A02 Num 4 670 YN. 11. Used MTFs other thn for prscrption drugs
170 S00A03 Num 4 674 VISIT1_. 11. Visits to Drs office,clinic,emrgncy rm
171 S00A04 Num 4 678 STAY1_. 11. # Overnight stays as patient at MTF
180 S00A06 Num 4 714 YN. 11. Are you covered by Medicare Part B now
181 S00A07 Num 4 718 YNDNK. 11. Will you begin paying Part B premium
182 S00A08 Num 4 722 YN. 11. Are you enrlled in TRICARE Senior Prime
183 S00A09 Num 4 726 ENR1_. 11. Disenrl frm TRICARE SP after 10/1/2001
184 S00A10 Num 4 730 MTFUSE1_. 11. Chnge use of MTFs for space-available cr
195 S00A12 Num 4 774 ENR2_. 11. Would you enroll in TRICARE Prime
196 S00A13 Num 4 778 ENR2_. 11. Enrl in TCP if you cldn't use mil. Dr
151 S00A01A Num 4 598 MARKED. 11. Hrdning of the arteries, arteriosclrsis
152 S00A01B Num 4 602 MARKED. 11. Hypertension
153 S00A01C Num 4 606 MARKED. 11. A myocardial infarction or heart attack
154 S00A01D Num 4 610 MARKED. 11. Angina pectoris or coronary heart dis
155 S00A01E Num 4 614 MARKED. 11. Other heart conditions
156 S00A01F Num 4 618 MARKED. 11. Stroke,brain hmrrhge, crbrovasclr accdnt
157 S00A01G Num 4 622 MARKED. 11. Skin cancer
158 S00A01H Num 4 626 MARKED. 11. Any other kind of cancer
159 S00A01I Num 4 630 MARKED. 11. Diabetes, high blood sugar,sgr in urine
160 S00A01J Num 4 634 MARKED. 11. Rheumatoid arthritis
161 S00A01K Num 4 638 MARKED. 11. Arthritis other than rheumatoid
162 S00A01L Num 4 642 MARKED. 11. Osteoperosis
163 S00A01M Num 4 646 MARKED. 11. A broken hip
164 S00A01N Num 4 650 MARKED. 11. Alzheimer's disease or dementia
165 S00A01O Num 4 654 MARKED. 11. A mental or psychiatric disorder
166 S00A01P Num 4 658 MARKED. 11. Parkinson's disease
167 S00A01Q Num 4 662 MARKED. 11. Emphysema, asthma or COPD
168 S00A01R Num 4 666 MARKED. 11. Complete or partial paralysis
D-7
The SAS System 10:29 Tuesday, August 14, 2001 6 CONTENTS PROCEDURE
# Variable Type Len Pos Format Informat Label
---------------------------------------------------------------------------------------------
172 S00A05A Num 4 682 MARKED. 11. Emergency care from an emrgncy room
173 S00A05B Num 4 686 MARKED. 11. Urgnt care not from an emrgncy room
174 S00A05C Num 4 690 MARKED. 11. Preventive care
175 S00A05D Num 4 694 MARKED. 11. Routine care
176 S00A05E Num 4 698 MARKED. 11. Hsptl care in whch you stayed overnight
177 S00A05F Num 4 702 MARKED. 11. Labs and x-rays
178 S00A05G Num 4 706 MARKED. 11. Surgry or diagnostics w/no ovrnight stay
179 S00A05H Num 4 710 MARKED. 11. Care from a specialist
185 S00A11A Num 4 734 MARKED. 11. Will use MTF:Emrgncy care frm emrgncy rm
186 S00A11B Num 4 738 MARKED. 11. Will use MTF:Prescription Drugs
187 S00A11C Num 4 742 MARKED. 11. Will use MTF:Urgnt cre nt frm emrgncy rm
188 S00A11D Num 4 746 MARKED. 11. Will use MTF:Preventive care
189 S00A11E Num 4 750 MARKED. 11. Will use MTF:Routine care
190 S00A11F Num 4 754 MARKED. 11. Will use MTF:Hospital care, ovrnght stay
191 S00A11G Num 4 758 MARKED. 11. Will use MTF:Labs and x-rays
192 S00A11H Num 4 762 MARKED. 11. Will use MTF:Surgery, w/no ovrnight stay
193 S00A11I Num 4 766 MARKED. 11. Will use MTF:Care from a specialist
194 S00A11J Num 4 770 MARKED. 11. I won't use MTF for space available care
148 S00M01 Num 4 586 YN. 11. In lst yr:need treatment or counseling
149 S00M02 Num 4 590 PROB11_. 11. In lst yr:prblm to get treatment
150 S00M03 Num 4 594 RATE6_. 11. Rating of treatment or counseling
12 SERVAFF Char 1 65 $SERVAFF. Service Affiliation
11 SERVAREA Char 2 63 $SRVAREA. Service Area
3 SEXSMPL Num 8 16 SEX. SEXSMPL - Sex
127 SRAGE Num 4 502 AGEGRP. 11. What is your age now
120 SREDA Num 4 474 EDUC. 11. Highest grade completed
122 SRRACEA Num 4 482 MARKED. 11. Race: White
123 SRRACEB Num 4 486 MARKED. 11. Race: Black or African American
124 SRRACEC Num 4 490 MARKED. 11. Race: American Indian or Alaska Native
125 SRRACED Num 4 494 MARKED. 11. Race: Asain
126 SRRACEE Num 4 498 MARKED. 11. Race: Native Hawaiian/other Pacific Isl.
4 STRATUM Char 7 24 Sampling STRATUM
7 STRSMPL Char 7 37 $CACSTR. STRSMPL - Geographic Stratum
10 SUBDEMO Char 3 60 $SUBDEMO. Subvention Area for Over 65
2 SVCSMPL Num 8 8 SVCSMPL. SVCSMPL - Branch of Service
19 TSPSITE Char 10 77 $TSPSITE. TSP Site (regardless of age)
271 WRWT Num 8 1355 Final Weight
272 WRWT1 Num 8 1363 Replicated/JackKnife Weight 1
273 WRWT2 Num 8 1371 Replicated/JackKnife Weight 2
274 WRWT3 Num 8 1379 Replicated/JackKnife Weight 3
275 WRWT4 Num 8 1387 Replicated/JackKnife Weight 4
276 WRWT5 Num 8 1395 Replicated/JackKnife Weight 5
277 WRWT6 Num 8 1403 Replicated/JackKnife Weight 6
278 WRWT7 Num 8 1411 Replicated/JackKnife Weight 7
279 WRWT8 Num 8 1419 Replicated/JackKnife Weight 8
280 WRWT9 Num 8 1427 Replicated/JackKnife Weight 9
281 WRWT10 Num 8 1435 Replicated/JackKnife Weight 10
282 WRWT11 Num 8 1443 Replicated/JackKnife Weight 11
283 WRWT12 Num 8 1451 Replicated/JackKnife Weight 12
D-8
The SAS System 10:29 Tuesday, August 14, 2001 7 CONTENTS PROCEDURE
# Variable Type Len Pos Format Informat Label
---------------------------------------------------------------------------------------------
284 WRWT13 Num 8 1459 Replicated/JackKnife Weight 13
285 WRWT14 Num 8 1467 Replicated/JackKnife Weight 14
286 WRWT15 Num 8 1475 Replicated/JackKnife Weight 15
287 WRWT16 Num 8 1483 Replicated/JackKnife Weight 16
288 WRWT17 Num 8 1491 Replicated/JackKnife Weight 17
289 WRWT18 Num 8 1499 Replicated/JackKnife Weight 18
290 WRWT19 Num 8 1507 Replicated/JackKnife Weight 19
291 WRWT20 Num 8 1515 Replicated/JackKnife Weight 20
292 WRWT21 Num 8 1523 Replicated/JackKnife Weight 21
293 WRWT22 Num 8 1531 Replicated/JackKnife Weight 22
294 WRWT23 Num 8 1539 Replicated/JackKnife Weight 23
295 WRWT24 Num 8 1547 Replicated/JackKnife Weight 24
296 WRWT25 Num 8 1555 Replicated/JackKnife Weight 25
297 WRWT26 Num 8 1563 Replicated/JackKnife Weight 26
298 WRWT27 Num 8 1571 Replicated/JackKnife Weight 27
299 WRWT28 Num 8 1579 Replicated/JackKnife Weight 28
300 WRWT29 Num 8 1587 Replicated/JackKnife Weight 29
301 WRWT30 Num 8 1595 Replicated/JackKnife Weight 30
302 WRWT31 Num 8 1603 Replicated/JackKnife Weight 31
303 WRWT32 Num 8 1611 Replicated/JackKnife Weight 32
304 WRWT33 Num 8 1619 Replicated/JackKnife Weight 33
305 WRWT34 Num 8 1627 Replicated/JackKnife Weight 34
306 WRWT35 Num 8 1635 Replicated/JackKnife Weight 35
307 WRWT36 Num 8 1643 Replicated/JackKnife Weight 36
308 WRWT37 Num 8 1651 Replicated/JackKnife Weight 37
309 WRWT38 Num 8 1659 Replicated/JackKnife Weight 38
310 WRWT39 Num 8 1667 Replicated/JackKnife Weight 39
311 WRWT40 Num 8 1675 Replicated/JackKnife Weight 40
312 WRWT41 Num 8 1683 Replicated/JackKnife Weight 41
313 WRWT42 Num 8 1691 Replicated/JackKnife Weight 42
314 WRWT43 Num 8 1699 Replicated/JackKnife Weight 43
315 WRWT44 Num 8 1707 Replicated/JackKnife Weight 44
316 WRWT45 Num 8 1715 Replicated/JackKnife Weight 45
317 WRWT46 Num 8 1723 Replicated/JackKnife Weight 46
318 WRWT47 Num 8 1731 Replicated/JackKnife Weight 47
319 WRWT48 Num 8 1739 Replicated/JackKnife Weight 48
320 WRWT49 Num 8 1747 Replicated/JackKnife Weight 49
321 WRWT50 Num 8 1755 Replicated/JackKnife Weight 50
322 WRWT51 Num 8 1763 Replicated/JackKnife Weight 51
323 WRWT52 Num 8 1771 Replicated/JackKnife Weight 52
324 WRWT53 Num 8 1779 Replicated/JackKnife Weight 53
325 WRWT54 Num 8 1787 Replicated/JackKnife Weight 54
326 WRWT55 Num 8 1795 Replicated/JackKnife Weight 55
327 WRWT56 Num 8 1803 Replicated/JackKnife Weight 56
328 WRWT57 Num 8 1811 Replicated/JackKnife Weight 57
329 WRWT58 Num 8 1819 Replicated/JackKnife Weight 58
330 WRWT59 Num 8 1827 Replicated/JackKnife Weight 59
331 WRWT60 Num 8 1835 Replicated/JackKnife Weight 60
243 XBNFGRP Num 8 1132 XBGC_S. Constructed Beneficiary Group
D-9
The SAS System 10:29 Tuesday, August 14, 2001 8 CONTENTS PROCEDURE
# Variable Type Len Pos Format Informat Label
---------------------------------------------------------------------------------------------
235 XENRLLMT Num 8 1078 ENROLL. Enrollment in TRICARE Prime
236 XENR_PCM Num 8 1086 PCM. Enrollment by PCM type
237 XINS_COV Num 8 1094 INSURE. Insurance Coverage
238 XQENROLL Num 8 1102 PCM. Enrllmnt accordng to questionre rspnse
239 XREGION Num 3 1110 CREG. XREGION - Region
242 XSEXA Num 8 1124 HASEX. Male or Female - R
D-10
APPENDIX E
SAS PROC CONTENTS – POSITIONAL 2000 ADULT HCSDB – QUARTER II
The SAS System 10:29 Tuesday, August 14, 2001 9 CONTENTS PROCEDURE
-----Variables Ordered by Position-----
# Variable Type Len Pos Format Informat Label
---------------------------------------------------------------------------------------------
1 MPRID Char 8 0 $8. $42. Unique MPR Identifier
2 SVCSMPL Num 8 8 SVCSMPL. SVCSMPL - Branch of Service
3 SEXSMPL Num 8 16 SEX. SEXSMPL - Sex
4 STRATUM Char 7 24 Sampling STRATUM
5 CACSMPL Char 4 31 $CAC. CACSMPL - Catchment Area
6 ENBGSMPL Char 2 35 $ENBGS. Enrollment by beneficiary category
7 STRSMPL Char 7 37 $CACSTR. STRSMPL - Geographic Stratum
8 MPCSMPL Num 8 44 MPCSMPL. MPCSMPL - Military Personnel Category
9 NHFF Num 8 52 NHFF - Stratum Sample Size
10 SUBDEMO Char 3 60 $SUBDEMO. Subvention Area for Over 65
11 SERVAREA Char 2 63 $SRVAREA. Service Area
12 SERVAFF Char 1 65 $SERVAFF. Service Affiliation
13 MRTLSTAT Char 1 66 $MSTATUS. Marital Status
14 RACEETHN Char 1 67 $RACECD. Race/Ethnic Code
15 PNSEXCD Char 1 68 $SEXCD. Person Gender
16 LEGDDSCD Char 2 69 $DDSFMT. DDS Code
17 DAGEQY Char 3 71 Age (As of 30 September 2000)
18 PCM Char 3 74 $PCM. Primary Manager Code (CIV or MIL)
19 TSPSITE Char 10 77 $TSPSITE. TSP Site (regardless of age)
20 DBENCAT Char 3 87 $BENCAT. Beneficiary Category
21 DMEDELG Char 1 90 $MEDELG. Medical Privlege Code
22 DSPONSVC Char 1 91 $SPONSVC. Derived Sponsor Branch of Service
23 MBRRELCD Char 1 92 $MBRREL. Member Relationship Code
24 MEDTYPE Char 1 93 $MEDTYP. Medicare Type
25 PATCAT Char 7 94 $AGGBCAT. Aggregated Beneficiary Category
26 PNARSNCD Char 2 101 $REASNCD. Person Association Reason Code
27 PNLCATCD Char 1 103 $PNLCAT. Personnel Category Code (Duty Status)
28 FNSTATUS Num 8 104 FNSTATS. Final Status
29 KEYCOUNT Num 8 112 # of Key Questions Answered
30 E1 Char 1 120 Eligibility indicator for period = 1
31 E2 Char 1 121 Eligibility indicator for period = 2
32 H00001 Num 4 122 HPLAN1_. 11. Which health plan did you use most
33 H00002 Num 4 126 HPTIME. 11. Years in a row w/health plan
34 H00003A Num 4 130 MARKED. 11. Health plan(s) covered: TRICARE Prime
35 H00003B Num 4 134 MARKED. 11. Health plan(s) covered: TRICARE Sr Prime
36 H00003C Num 4 138 MARKED. 11. Health plan(s) covered: TRICARE Ext/Stnd
37 H00003D Num 4 142 MARKED. 11. Health plan(s) covered: Medicare Part A
38 H00003E Num 4 146 MARKED. 11. Health plan(s) covered: Medicare Part B
39 H00003F Num 4 150 MARKED. 11. Health plan(s) covered: Medigap
40 H00003G Num 4 154 MARKED. 11. Health plan(s) covered: FEHBP
41 H00003H Num 4 158 MARKED. 11. Health plan(s) covered: Medicaid
42 H00003I Num 4 162 MARKED. 11. Health plan(s) covered: Civilian HMO
43 H00003J Num 4 166 MARKED. 11. Health plan(s) covered: Other civilian
44 H00003K Num 4 170 MARKED. 11. Health plan(s) covered: USFHP
45 H00003L Num 4 174 MARKED. 11. Health plan(s) covered: Not sure
46 H00004 Num 4 178 COST1_. 11. How is enrllmnt fee paid
47 H00006 Num 4 182 YN. 11. When joined hlth plan, rcv new prsnl Dr
E-3
The SAS System 10:29 Tuesday, August 14, 2001 10 CONTENTS PROCEDURE
# Variable Type Len Pos Format Informat Label
---------------------------------------------------------------------------------------------
48 H00007 Num 4 186 PROB1_. 11. Hlth plan: problem to get Dr happy with
49 H00008 Num 4 190 YN. 11. Have one person you think of as prsnl Dr
50 H00009 Num 4 194 RATE1_. 11. Rating of your personal doctor or nurse
51 H00010 Num 4 198 YN. 11. Currently enrolled in TRICARE Prime
52 H00011 Num 4 202 PCMBASE. 11. TRICARE membr:prmry care mgr mil or cvl
53 H00012 Num 4 206 YN. 11. Know your PCM's name
54 H00013 Num 4 210 YN. 11. In lst yr:you/dr think you needed spclst
55 H00014 Num 4 214 PROB2_. 11. In lst yr:how much prblm rfrl to spclst
56 H00015 Num 4 218 YN. 11. In lst yr:did you see a specialist
57 H00016 Num 4 222 RATE2_. 11. Rating of specialist seen in last year
58 H00017 Num 4 226 YNOFT. 11. In lst yr:spclst saw same as prsnl Dr
59 H00018 Num 4 230 YN. 11. In lst yr:call Dr for hlp/advice for slf
60 H00019 Num 4 234 OFTEN2_. 11. In lst yr:when call how often get hlp nd
61 H00020 Num 4 238 YN. 11. In lst yr:make appts for reg hlth care
62 H00021 Num 4 242 OFTEN3_. 11. In lst yr:appt reg hlth care when wanted
63 H00022 Num 4 246 TIME1B_. 11. In lst yr:days btwn appt & seeing prvder
64 H00023 Num 4 250 YN. 11. In lst yr:illness/injury care right away
65 H00024 Num 4 254 OFTEN4_. 11. In lst yr:get care as soon as wanted
66 H00025 Num 4 258 TIME2_. 11. In lst yr:wait btwn try get care,see prv
67 H00026 Num 4 262 OFTEN5_. 11. In lst yr:goto emrgncy rm for own care
68 H00027 Num 4 266 OFTEN6_. 11. In lst yr:goto Dr office/clinic for care
69 H00028 Num 4 270 PROB3_. 11. In lst yr:prblm to get care thght ncssry
70 H00029 Num 4 274 PROB3_. 11. In lst yr:prblm w/dlys waiting for apprv
71 H00030 Num 4 278 OFTEN7_. 11. In lst yr:wait > 15 min past appt see Dr
72 H00031 Num 4 282 OFTEN7_. 11. In lst yr:how oftn treat w/ crtsy/rspct
73 H00032 Num 4 286 OFTEN7_. 11. In lst yr:how oftn staff helpful
74 H00033 Num 4 290 OFTEN7_. 11. In lst yr:how oftn Drs listen to you
75 H00034 Num 4 294 OFTEN7_. 11. In lst yr:how oftn Drs explain things
76 H00035 Num 4 298 OFTEN7_. 11. In lst yr:how oftn Drs show respect
77 H00036 Num 4 302 OFTEN7_. 11. In lst yr:how oftn Drs spend enough time
78 H00037 Num 4 306 RATE3_. 11. Rating of all health care in last year
79 H00038 Num 4 310 YN. 11. MTF conveniently located to you
80 H00039 Num 4 314 MTFREC. 11. In lst yr:how much hlthcre from MTF
81 H00040 Num 4 318 PXFILL. 11. In lst yr:prscrptns filled at MTF
82 H00041 Num 4 322 OFTENPX. 11. In lst yr:prscrptns by cvl,filled at mil
83 H00042 Num 4 326 PLACE. 11. In lst yr:fclty used most for hlth care
84 H00043 Num 4 330 YNDNK. 11. In lst yr:send in any claims
85 H00044 Num 4 334 OFTEN9_. 11. In lst yr:hlth pln handle in rsnble time
86 H00045 Num 4 338 OFTEN9_. 11. In lst yr:how oftn handle correctly
87 H00046 Num 4 342 OFTEN9_. 11. In lst yr:before care, know amt to pay
88 H00047 Num 4 346 YNINFO. 11. In lst yr:info in written materials
89 H00048 Num 4 350 PROB8_. 11. In lst yr:prblm to find/undrstnd mtrls
90 H00049 Num 4 354 YN. 11. In lst yr:health plan's cstmr srvc help
91 H00050 Num 4 358 PROB9_. 11. In lst yr:prblm get help from cstmr srvc
92 H00051 Num 4 362 YN. 11. Called or written plan w/complaint/prblm
93 H00052 Num 4 366 TIME4_. 11. How long for hlth pln to resolve cmplnt
94 H00053 Num 4 370 SETTLED. 11. Complaint/prblm settled to satisfaction
95 H00054 Num 4 374 YN. 11. In lst yr:experiences w/ paperwork
96 H00055 Num 4 378 PROB10_. 11. In lst yr:problems w/ paperwork
E-4
The SAS System 10:29 Tuesday, August 14, 2001 11 CONTENTS PROCEDURE
# Variable Type Len Pos Format Informat Label
---------------------------------------------------------------------------------------------
97 H00056 Num 4 382 RATE4_. 11. Rating of all experience w/health plan
98 H00057 Num 4 386 LIKELY. 11. In nxt yr:lkly to dsnrl in TRICARE Prime
99 H00058 Num 4 390 LIKELY. 11. In nxt yr:lkly to enrl in TRICARE Prime
100 H00059 Num 4 394 COST2_. 11. In last year:expnses not cvrd hlth plan
101 H00061 Num 4 398 TIME5_. 11. Not sick/prgnt: last mdcl/physcl exam
102 H00062 Num 4 402 TIME6_. 11. Blood pressure: when last reading
103 H00063 Num 4 406 YN. 11. Blood pressure: know if too high or not
104 H00064 Num 4 410 TIME7_. 11. When last have cholesterol screening
105 H00065 Num 4 414 TIME8_. 11. When did you last have a flu shot
106 H00066 Num 4 418 SMOKE. 11. Smoked at least 100 cigarettes in life
107 H00067 Num 4 422 TIME9_. 11. Smoke everyday, some days or not at all
108 H00068 Num 4 426 TIME10_. 11. How long since you quit smoking
109 H00069 Num 4 430 OFTEN11_. 11. Lst year: # vst advised to quit smoking
110 H00070 Num 4 434 SEX. 11. Are you male or female
111 H00071 Num 4 438 TIME11_. 11. Last prostate disease exam or blood test
112 H00072 Num 4 442 TIME12_. 11. Last have a Pap smear test
113 H00073A Num 4 446 YN. 11. Are you under age 40
114 H00073B Num 4 450 TIME13_. 11. Last time: breasts checked mammography
115 H00074 Num 4 454 TIME14_. 11. Last time: breast exam by professional
116 H00075 Num 4 458 YNPREG. 11. Been pregnant in last yr or pregnant now
117 H00076A Num 4 462 PREG1_. 11. In what trimester is your pregnancy
118 H00076B Num 4 466 PREG2_. 11. Trimester first received prenatal care
119 H00077 Num 4 470 HEALTH. 11. In gnrl, how would you rate ovrall hlth
120 SREDA Num 4 474 EDUC. 11. Highest grade completed
121 H00079 Num 4 478 HISP. 11. Are you Spanish/Hispanic/Latino
122 SRRACEA Num 4 482 MARKED. 11. Race: White
123 SRRACEB Num 4 486 MARKED. 11. Race: Black or African American
124 SRRACEC Num 4 490 MARKED. 11. Race: American Indian or Alaska Native
125 SRRACED Num 4 494 MARKED. 11. Race: Asain
126 SRRACEE Num 4 498 MARKED. 11. Race: Native Hawaiian/other Pacific Isl.
127 SRAGE Num 4 502 AGEGRP. 11. What is your age now
128 H00083A Num 4 506 MARKED. 11. Decision use MTF: Cost
129 H00083B Num 4 510 MARKED. 11. Decision use MTF: Location convenience
130 H00083C Num 4 514 MARKED. 11. Decision use MTF: Quality of health care
131 H00083D Num 4 518 MARKED. 11. Decision use MTF: Telephone access
132 H00083E Num 4 522 MARKED. 11. Decision use MTF: Timeliness of appts
133 H00083F Num 4 526 MARKED. 11. Decision use MTF: Miliatry courtesy
134 H00083G Num 4 530 MARKED. 11. Decision use MTF: personal physician
135 H00083H Num 4 534 MARKED. 11. Decision use MTF: co-location of svcs
136 H00083I Num 4 538 MARKED. 11. Decision use MTF: lack of paperwork
137 H00084 Num 4 542 REASON2_. 11. Single most important reason to use MTF
138 H00085A Num 4 546 MARKED. 11. Info sources:Retiree org. newsletter
139 H00085B Num 4 550 MARKED. 11. Info sources:Health Benefits Advisor
140 H00085C Num 4 554 MARKED. 11. Info sources:Pamphlets in MTF
141 H00085D Num 4 558 MARKED. 11. Info sources:Internet
142 H00085E Num 4 562 MARKED. 11. Info sources:Base newspaper
143 H00085F Num 4 566 MARKED. 11. Info sources:retired pay statement
144 H00085G Num 4 570 MARKED. 11. Info sources:TV
145 H00085H Num 4 574 MARKED. 11. Info sources:Radio
E-5
The SAS System 10:29 Tuesday, August 14, 2001 12 CONTENTS PROCEDURE
# Variable Type Len Pos Format Informat Label
---------------------------------------------------------------------------------------------
146 H00085I Num 4 578 MARKED. 11. Info sources:Friends or relatives
147 H00085J Num 4 582 MARKED. 11. Info sources:BCACs
148 S00M01 Num 4 586 YN. 11. In lst yr:need treatment or counseling
149 S00M02 Num 4 590 PROB11_. 11. In lst yr:prblm to get treatment
150 S00M03 Num 4 594 RATE6_. 11. Rating of treatment or counseling
151 S00A01A Num 4 598 MARKED. 11. Hrdning of the arteries, arteriosclrsis
152 S00A01B Num 4 602 MARKED. 11. Hypertension
153 S00A01C Num 4 606 MARKED. 11. A myocardial infarction or heart attack
154 S00A01D Num 4 610 MARKED. 11. Angina pectoris or coronary heart dis
155 S00A01E Num 4 614 MARKED. 11. Other heart conditions
156 S00A01F Num 4 618 MARKED. 11. Stroke,brain hmrrhge, crbrovasclr accdnt
157 S00A01G Num 4 622 MARKED. 11. Skin cancer
158 S00A01H Num 4 626 MARKED. 11. Any other kind of cancer
159 S00A01I Num 4 630 MARKED. 11. Diabetes, high blood sugar,sgr in urine
160 S00A01J Num 4 634 MARKED. 11. Rheumatoid arthritis
161 S00A01K Num 4 638 MARKED. 11. Arthritis other than rheumatoid
162 S00A01L Num 4 642 MARKED. 11. Osteoperosis
163 S00A01M Num 4 646 MARKED. 11. A broken hip
164 S00A01N Num 4 650 MARKED. 11. Alzheimer's disease or dementia
165 S00A01O Num 4 654 MARKED. 11. A mental or psychiatric disorder
166 S00A01P Num 4 658 MARKED. 11. Parkinson's disease
167 S00A01Q Num 4 662 MARKED. 11. Emphysema, asthma or COPD
168 S00A01R Num 4 666 MARKED. 11. Complete or partial paralysis
169 S00A02 Num 4 670 YN. 11. Used MTFs other thn for prscrption drugs
170 S00A03 Num 4 674 VISIT1_. 11. Visits to Drs office,clinic,emrgncy rm
171 S00A04 Num 4 678 STAY1_. 11. # Overnight stays as patient at MTF
172 S00A05A Num 4 682 MARKED. 11. Emergency care from an emrgncy room
173 S00A05B Num 4 686 MARKED. 11. Urgnt care not from an emrgncy room
174 S00A05C Num 4 690 MARKED. 11. Preventive care
175 S00A05D Num 4 694 MARKED. 11. Routine care
176 S00A05E Num 4 698 MARKED. 11. Hsptl care in whch you stayed overnight
177 S00A05F Num 4 702 MARKED. 11. Labs and x-rays
178 S00A05G Num 4 706 MARKED. 11. Surgry or diagnostics w/no ovrnight stay
179 S00A05H Num 4 710 MARKED. 11. Care from a specialist
180 S00A06 Num 4 714 YN. 11. Are you covered by Medicare Part B now
181 S00A07 Num 4 718 YNDNK. 11. Will you begin paying Part B premium
182 S00A08 Num 4 722 YN. 11. Are you enrlled in TRICARE Senior Prime
183 S00A09 Num 4 726 ENR1_. 11. Disenrl frm TRICARE SP after 10/1/2001
184 S00A10 Num 4 730 MTFUSE1_. 11. Chnge use of MTFs for space-available cr
185 S00A11A Num 4 734 MARKED. 11. Will use MTF:Emrgncy care frm emrgncy rm
186 S00A11B Num 4 738 MARKED. 11. Will use MTF:Prescription Drugs
187 S00A11C Num 4 742 MARKED. 11. Will use MTF:Urgnt cre nt frm emrgncy rm
188 S00A11D Num 4 746 MARKED. 11. Will use MTF:Preventive care
189 S00A11E Num 4 750 MARKED. 11. Will use MTF:Routine care
190 S00A11F Num 4 754 MARKED. 11. Will use MTF:Hospital care, ovrnght stay
191 S00A11G Num 4 758 MARKED. 11. Will use MTF:Labs and x-rays
192 S00A11H Num 4 762 MARKED. 11. Will use MTF:Surgery, w/no ovrnight stay
193 S00A11I Num 4 766 MARKED. 11. Will use MTF:Care from a specialist
194 S00A11J Num 4 770 MARKED. 11. I won't use MTF for space available care
E-6
The SAS System 10:29 Tuesday, August 14, 2001 13 CONTENTS PROCEDURE
# Variable Type Len Pos Format Informat Label
---------------------------------------------------------------------------------------------
195 S00A12 Num 4 774 ENR2_. 11. Would you enroll in TRICARE Prime
196 S00A13 Num 4 778 ENR2_. 11. Enrl in TCP if you cldn't use mil. Dr
197 FLAG_FIN Char 5 782 $FINAL. $5. Final Disposition
198 DUPFLAG Char 3 787 Multiple Response Indicator
199 N1 Num 8 790 4. Coding Scheme Note 1
200 N2 Num 8 798 4. Coding Scheme Note 2
201 N3 Num 8 806 4. Coding Scheme Note 3
202 N4 Num 8 814 4. Coding Scheme Note 4
203 N5 Num 8 822 4. Coding Scheme Note 5
204 N6 Num 8 830 4. Coding Scheme Note 6
205 N7 Num 8 838 4. Coding Scheme Note 7
206 N8 Num 8 846 4. Coding Scheme Note 8
207 N9 Num 8 854 4. Coding Scheme Note 9
208 N10 Num 8 862 4. Coding Scheme Note 10
209 N11 Num 8 870 4. Coding Scheme Note 11
210 N12 Num 8 878 4. Coding Scheme Note 12
211 N13 Num 8 886 4. Coding Scheme Note 13
212 N14 Num 8 894 4. Coding Scheme Note 14
213 N15 Num 8 902 4. Coding Scheme Note 15
214 N16 Num 8 910 4. Coding Scheme Note 16
215 N17 Num 8 918 4. Coding Scheme Note 17
216 N18A Num 8 926 4. Coding Scheme Note 18A
217 N18B Num 8 934 4. Coding Scheme Note 18B
218 N18C Num 8 942 4. Coding Scheme Note 18C
219 N19 Num 8 950 4. Coding Scheme Note 19
220 N20 Num 8 958 4. Coding Scheme Note 20
221 N22 Num 8 966 4. Coding Scheme Note 22
222 N23 Num 8 974 4. Coding Scheme Note 23
223 N24 Num 8 982 4. Coding Scheme Note 24
224 N25 Num 8 990 4. Coding Scheme Note 25
225 N26 Num 8 998 4. Coding Scheme Note 26
226 N27 Num 8 1006 4. Coding Scheme Note 27
227 MISS_1 Num 8 1014 HAMISS. Count of: Violates Skip Pattern
228 MISS_4 Num 8 1022 HAMISS. Count of: Incomplete grid error
229 MISS_5 Num 8 1030 HAMISS. Count of: Scalable reponse of Don't know
230 MISS_6 Num 8 1038 HAMISS. Count of: Not applicable - valid skip
231 MISS_7 Num 8 1046 HAMISS. Count of: Out-of-range error
232 MISS_8 Num 8 1054 HAMISS. Count of: Multiple response error
233 MISS_9 Num 8 1062 HAMISS. Count of: No response - invalid skip
234 MISS_TOT Num 8 1070 HAMISS. Total number of missing responses
235 XENRLLMT Num 8 1078 ENROLL. Enrollment in TRICARE Prime
236 XENR_PCM Num 8 1086 PCM. Enrollment by PCM type
237 XINS_COV Num 8 1094 INSURE. Insurance Coverage
238 XQENROLL Num 8 1102 PCM. Enrllmnt accordng to questionre rspnse
239 XREGION Num 3 1110 CREG. XREGION - Region
240 CONUS Num 3 1113 CONUSMHS. CONUS - CONUS/OCONUS Indicator
241 OUTCATCH Num 8 1116 OCATCH. Out of catchment area indicator
242 XSEXA Num 8 1124 HASEX. Male or Female - R
243 XBNFGRP Num 8 1132 XBGC_S. Constructed Beneficiary Group
E-7
The SAS System 10:29 Tuesday, August 14, 2001 14 CONTENTS PROCEDURE
# Variable Type Len Pos Format Informat Label
---------------------------------------------------------------------------------------------
244 KENRINTN Num 8 1140 HAYNN. Intention to enroll
245 KDISENRL Num 8 1148 HAYNN. Intention to disenroll
246 KMILOFFC Num 8 1156 HAYNN. Office wait of 15 min or more-Mil
247 KCIVOFFC Num 8 1164 HAYNN. Office wait of 15 min or more-Civ
248 KBGPRB1 Num 8 1172 HAYNN. Big problem getting referrals to spclst
249 KBGPRB2 Num 8 1180 HAYNN. Big problem getting necessary care
250 KMILOPQY Num 8 1188 HAGRID. Outpatient visits to Military facility
251 KCIVOPQY Num 8 1196 HAGRID. Outpatient visits to Civilian facility
252 KCIVINS Num 8 1204 HAYNN2_. Beneficiary covered by civilian insuranc
253 KCOST_2 Num 8 1212 COST. Out-of-pocket costs > $500
254 KMEDIGAP Num 8 1220 HAYNN2_. Beneficiary covered by Medigap
255 KPRSCPTN Num 8 1228 HAYNN. 7 or > civ prscrptns filled by mil phmcy
256 KBRSTCR Num 8 1236 HAYNN. Women 40>=, ever had mammogram & brst ex
257 HP_PRNTL Num 8 1244 PRNTL. Prgnt in lst yr, received cre 1st trimst
258 HP_MAMOG Num 8 1252 HAYNN. Women 40>=, mammography in pst 2 yrs
259 HP_MAM50 Num 8 1260 HAYNN. Women 50>=, mammography in pst 2 yrs
260 HP_PAP Num 8 1268 HAYNN. All women, Pap smear in lst 3 yrs
261 HP_BP Num 8 1276 HAYNN2_. Bld prsre chck in lst 2 yrs,know rslts
262 HP_FLU Num 8 1284 HAYNN. 65 and older, flu shot in lst 12 mnths
263 HP_PROS Num 8 1292 HAYNN. Men 50>=, prostrate exam in lst 12 mnths
264 HP_GP Num 8 1300 HAYNN. General physical exam in lst 12 mnths
265 HP_BRST Num 8 1308 HAYNN. Women >=40, breast exam in lst 12 mnths
266 HP_CHOL Num 8 1316 HAYNN. Cholesterol screening in lst 5 yrs
267 HP_SMOKE Num 8 1324 HAYNN. Advised to quit smoking in lst 12 mnths
268 BWT Num 8 1332 BWT - Basic Sampling Weight
269 ADJ_CELL Char 7 1340 ADJ_CELL - Adjusted STRATUM cell
270 POSTSTR Char 8 1347 POSTSTR - Poststratification Cell
271 WRWT Num 8 1355 Final Weight
272 WRWT1 Num 8 1363 Replicated/JackKnife Weight 1
273 WRWT2 Num 8 1371 Replicated/JackKnife Weight 2
274 WRWT3 Num 8 1379 Replicated/JackKnife Weight 3
275 WRWT4 Num 8 1387 Replicated/JackKnife Weight 4
276 WRWT5 Num 8 1395 Replicated/JackKnife Weight 5
277 WRWT6 Num 8 1403 Replicated/JackKnife Weight 6
278 WRWT7 Num 8 1411 Replicated/JackKnife Weight 7
279 WRWT8 Num 8 1419 Replicated/JackKnife Weight 8
280 WRWT9 Num 8 1427 Replicated/JackKnife Weight 9
281 WRWT10 Num 8 1435 Replicated/JackKnife Weight 10
282 WRWT11 Num 8 1443 Replicated/JackKnife Weight 11
283 WRWT12 Num 8 1451 Replicated/JackKnife Weight 12
284 WRWT13 Num 8 1459 Replicated/JackKnife Weight 13
285 WRWT14 Num 8 1467 Replicated/JackKnife Weight 14
286 WRWT15 Num 8 1475 Replicated/JackKnife Weight 15
287 WRWT16 Num 8 1483 Replicated/JackKnife Weight 16
288 WRWT17 Num 8 1491 Replicated/JackKnife Weight 17
289 WRWT18 Num 8 1499 Replicated/JackKnife Weight 18
290 WRWT19 Num 8 1507 Replicated/JackKnife Weight 19
291 WRWT20 Num 8 1515 Replicated/JackKnife Weight 20
292 WRWT21 Num 8 1523 Replicated/JackKnife Weight 21
E-8
The SAS System 10:29 Tuesday, August 14, 2001 15 CONTENTS PROCEDURE
# Variable Type Len Pos Format Informat Label
---------------------------------------------------------------------------------------------
293 WRWT22 Num 8 1531 Replicated/JackKnife Weight 22
294 WRWT23 Num 8 1539 Replicated/JackKnife Weight 23
295 WRWT24 Num 8 1547 Replicated/JackKnife Weight 24
296 WRWT25 Num 8 1555 Replicated/JackKnife Weight 25
297 WRWT26 Num 8 1563 Replicated/JackKnife Weight 26
298 WRWT27 Num 8 1571 Replicated/JackKnife Weight 27
299 WRWT28 Num 8 1579 Replicated/JackKnife Weight 28
300 WRWT29 Num 8 1587 Replicated/JackKnife Weight 29
301 WRWT30 Num 8 1595 Replicated/JackKnife Weight 30
302 WRWT31 Num 8 1603 Replicated/JackKnife Weight 31
303 WRWT32 Num 8 1611 Replicated/JackKnife Weight 32
304 WRWT33 Num 8 1619 Replicated/JackKnife Weight 33
305 WRWT34 Num 8 1627 Replicated/JackKnife Weight 34
306 WRWT35 Num 8 1635 Replicated/JackKnife Weight 35
307 WRWT36 Num 8 1643 Replicated/JackKnife Weight 36
308 WRWT37 Num 8 1651 Replicated/JackKnife Weight 37
309 WRWT38 Num 8 1659 Replicated/JackKnife Weight 38
310 WRWT39 Num 8 1667 Replicated/JackKnife Weight 39
311 WRWT40 Num 8 1675 Replicated/JackKnife Weight 40
312 WRWT41 Num 8 1683 Replicated/JackKnife Weight 41
313 WRWT42 Num 8 1691 Replicated/JackKnife Weight 42
314 WRWT43 Num 8 1699 Replicated/JackKnife Weight 43
315 WRWT44 Num 8 1707 Replicated/JackKnife Weight 44
316 WRWT45 Num 8 1715 Replicated/JackKnife Weight 45
317 WRWT46 Num 8 1723 Replicated/JackKnife Weight 46
318 WRWT47 Num 8 1731 Replicated/JackKnife Weight 47
319 WRWT48 Num 8 1739 Replicated/JackKnife Weight 48
320 WRWT49 Num 8 1747 Replicated/JackKnife Weight 49
321 WRWT50 Num 8 1755 Replicated/JackKnife Weight 50
322 WRWT51 Num 8 1763 Replicated/JackKnife Weight 51
323 WRWT52 Num 8 1771 Replicated/JackKnife Weight 52
324 WRWT53 Num 8 1779 Replicated/JackKnife Weight 53
325 WRWT54 Num 8 1787 Replicated/JackKnife Weight 54
326 WRWT55 Num 8 1795 Replicated/JackKnife Weight 55
327 WRWT56 Num 8 1803 Replicated/JackKnife Weight 56
328 WRWT57 Num 8 1811 Replicated/JackKnife Weight 57
329 WRWT58 Num 8 1819 Replicated/JackKnife Weight 58
330 WRWT59 Num 8 1827 Replicated/JackKnife Weight 59
331 WRWT60 Num 8 1835 Replicated/JackKnife Weight 60
E-9