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Community Analysis and Nursing Diagnosis

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Community Notes for Midterm Page 1 of 5

9/24 Notes – Community Analysis and Nursing T. Lyons & L. Jones

Diagnosis/ Chapter 10 8 questions



Data Analysis-Why?

A. To study and examine data collected

B. Synthesis of data

C. Identify community strengths

D. Identify community health needs

E. Determine need for further data collection:

1. find if research has been done.

2. Data gaps: determine need for further data collection. Make sure you can

support data gaps with information from assessment.

F. Look for trends/patterns; how often do you see a recurrent theme?

G. Discovery of causative relationships: the R/T portion.

Basic Steps of Data Analysis(4)

A. Categorize-e.g. by demographics, commonalities. E.g. intra/extra community for

health and social services

B. Summarize

C. Compare

D. Inference/Interpretation

Categorize Data

E. There are many ways to sort and categorize data e.g. demographically by age

groups, by problem type

F. Geographic approaches may be used

G. Use of model; we are using the wheel from Neuman’s model.

H. Look for data convergence when categorizing-e.g. how many times do we see

data converging in different categories?

I. Look for commonalties, health resources that are available. SEC, age, etc.

Data Summary

J. Summary statements-summarize each table.

K. Summary statistics-put data into percentages and rates so that different

areas/communities can be compared. Raw numbers will not work to compare

different areas.

L. Graphic methods of data summary:

Community Notes for Midterm Page 2 of 5

9/24 Notes – Community Analysis and Nursing T. Lyons & L. Jones

Diagnosis/ Chapter 10 8 questions



1. Remember that tables need concise summary data. P. 222, can put population

statistics in graph.

2. Dependency Ratio: how many people in your community who can support the

dependents. Calcuation on page 225. Should do for both census tracts.

M. Data summarization facilitates ease of reading and spotting trends/patterns in data

Summary Statistics

N. Rates-vital statistics

O. Percentages-population characteristics

P. Ratios-sex, dependency, etc.

Q. Rank order listing-top ten causes of death

Examples of Summary Statements

R. When comparing community strengths and needs, it is observed…..

S. Community strengths established include….

T. Through visual inspection as well as interviews of residents, it was found…

U. Public health services in the community include….

Other Data Summary Methods

V. Tables

W. Graphs

X. Charts

Y. Mapping – summarizing boundaries

Z. Pictures-can be put into appendix and does not count towards page count of final

community assessment paper.

AA. Photographs

BB. Population pyramid-see page 222 in text for example.

Data Comparison

CC. Facilitates identification of data gaps, omissions, inaccuracies

DD. Determine if a trend or pattern exists, especially if data are collected from

past to present

EE.Data comparison “gold standard” or benchmark

Data Comparison Standards

FF. Select standard similar to community

Community Notes for Midterm Page 3 of 5

9/24 Notes – Community Analysis and Nursing T. Lyons & L. Jones

Diagnosis/ Chapter 10 8 questions



GG. Use of higher level than study community, e. g. city, state, or national

levels

HH. May compare different areas or regions of city, county, state, e. g. North

side compared to South side

II. Schools to same type of school, other districts or district as whole

JJ. Aggregates may be compared to different groups or similar groups elsewhere:

Example, seniors who express a desire to have better access to healthcare or

teens attitudes towards drug use in one area as compared with teen attitudes

towards drug use in another area.

KK. Previous studies may be used for problems, diseases

LL. Norms for developmental stages, ages, ethnic groups may be used

MM. National Health Objectives statistics; Healthy People 2010 statistics are

available to compare data to. Use this with intervention.

Inference & Interpretation – chapter 10, table 10.1 & 10.5

NN. Formulate conclusions with interpretative statements

OO. Justify conclusions – use references such as interview quotes or statistical

data

PP. Cite comparison standards e.g. rates, ratios and/or percentages

QQ. Formulate lists of strengths and needs

RR. Distinguish between fact and opinion

SS. Validity of source



Community Nursing Diagnosis: from inferences and summary statements.

TT.Need to depart from NANDA as it is more individual focused

UU. Appropriate for primary, secondary, and tertiary levels of prevention

VV. Implies that the community/aggregate is target of intervention

WW. Compare strengths to community needs in table format. Take the two

needs you find to be most significant. List should be longer than two.

XX.From inferences and summary statements, make a final summary statement.

Community Notes for Midterm Page 4 of 5

9/24 Notes – Community Analysis and Nursing T. Lyons & L. Jones

Diagnosis/ Chapter 10 8 questions



YY. Encompasses (what the nursing diagnosis could be)

1. health risks

2. vulnerable groups

3. health problems

4. lack of services

5. health promotion

6. potential risks

Framing the Community Nursing Dx

ZZ. Description of the problem, response, or state-come from the inferences of

community

AAA. Identification of factors etiologically related-causes

BBB. AEB -Signs and symptoms that characterize the problem/concern; they

may come from other subsystems.

D. Nursing diagnosis is the final, summary statement: E.g. Increased fear of crime

related to young kids on crime sprees as evidenced by….supporting data.

Validating the Comm. Nsg. Dx

CCC. Collection of more data

DDD. Surveys – fast-good way to validate by opinion. E.g. Eight out of ten

people surveyed agree that…blah blah blah

EEE. Interview of residents, business owners, service providers

FFF. Analysis of other studies of the community; does not have to be r/t this

particular community. Secondary Data.

Examples of Community Nursing Diagnoses

GGG. Description of problem, response, state (have problem and degree of

reaction)

1. High rate of dental caries (e.g. problem = caries; deg. of rxn = high rate)

2. Potential for mugging and criminal victimization

3. Inadequate family planning services

4. Incomplete immunization status of preschool children

HHH. Factors etiologically related

Community Notes for Midterm Page 5 of 5

9/24 Notes – Community Analysis and Nursing T. Lyons & L. Jones

Diagnosis/ Chapter 10 8 questions



1. lack of fluoride in drinking water; no dental hygiene education; limited

income to pay for dental care

2. few self protective measure; episodes of thefts and burglaries

3. clinic days twice a month and no PM hours

4. limited access to immunization clinics; lack of knowledge of importance of

early immunizations

III. Signs and symptoms, manifestations, evidence

1. 62% have caries on inspection

2. Police report 30 % of calls; personal report of citizens

3. crude birth rate 50% higher than city; published clinic hours

4. immunization completion rate of 37% based on survey data

Nursing Diagnoses

JJJ. Potential for disability and loss of productive years of life among the residents of

CT 333 related to lack of access to area medical resources, inadequate financial

resources for needed medicines, and lack of knowledge regarding disease etiology

as evidenced by higher adult and infant mortality rates. When compared to the

City of Houston, complaints of local residents that waits for medical care are too

long, the elderly are unable to afford needed medicines, and school nurses report

they are treating more children with diabetes and blood pressure problems.

KKK. Potential for CV disease in the ethnic population related to the mortality

of ethnic statistics (Health of Houston, 1995) as evidenced by high sales of

alcohol and tobacco, a median income of $30-35,000, the inadequacy of

nutritional status and fitness facilities, and a lack of programs that offer

educational materials about the disease.

LLL. Potential for accidents as children travel to and from school related to a

lack of sidewalks in the neighborhood and inadequate fencing around construction

site as evidenced by a lack of after school programs, latch key kids, and open

bayou construction.



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