Gender Differences and Predictors of Reactivation at a Physician by cpk59411

VIEWS: 10 PAGES: 12

									   Gender Differences and
Predictors of Reactivation at a
 Physician Health Program,
Implications for Outreach and
         Intervention
   BMA-AMA-CMA International Conference
              on Doctors’ Health
             November 18, 2008
  Nahid Hotchkiss, PhD and Sarah Early, PsyD
                Introduction:
   10 year study (1997-2007)
   Location: Colorado Physician Health Program (CPHP)
   Two research elements: Gender Differences and
    Reactivations


Gender Differences:
 Limited research exists addressing challenges of Women in
  Medicine, none addressing health problems of female
  physician’s at PHP’s
 N=1239
 76% males/24% females
 Variables: Age, Martial Status, Primary Presenting Problem,
  Referral Source and Referral Status
             Introduction:
Reactivated Clients:
 Reactivated clients = physicians with recurring
  health issues who return to CPHP after a period
  of inactivation
 No comparable research in literature review.
 N = 144
 Variables: Age, Martial Status, Primary
  Presenting Problem, Referral Source, Referral
  Status and Gender
 Prediction of reactivation from demographic
  variables
             Methods
 Chi square analysis
 Frequency Distributions

 Logistic regression
Gender Differences - Results
 Age
  – Female clients younger (below average
    age of 45.7)
  – Males older (above average age of 45.7)
    Marital Status Findings
Marital Status                                                Female%   Male%
                                              Married         48.8      68.3
                                              Divorced        20.8      12.4
                                              Separated       2.1       4.7
                                              Never Married   23.2      10.5
                                              Cohabitating    4.1       2.4
Chart modified to include variables over 3%




Marital Status
  •Males had higher proportion in Married
  category
  •Females had higher proportion in categories of
  Divorced and Never Married
Primary Presenting Problem Findings
Primary Presenting Problem                                              Female%   Male%
                                          Behavioral                    7.2       19.5
                                          Emotional                     3.1       1.3
                                          Family                        3.8       1.0
                                          Legal                         6.8       9.9
                                          Physical/Medical              7.9       9.6
                                          Professional Boundaries       1.0       7.6
                                          Psychiatric                   41.6      16.2
                                          Psychiatric/Substance Abuse   3.4       3.4
                                          Stress                        5.1       3.2
                                          Substance Abuse               7.2       19.9
                                          Work Stress                   10.9      5.0
Chart modified to include variables over 3%


 Gender Differences Results
 •Women presented more frequently with psychiatric problems
 and stress.
 •Men were more likely to present with behavioral, professional
 boundary and substance abuse problems.
     Referral Source Findings
Referral Source                                                Female%   Male%

                                              Administration   10.2      15.4
                                              BME              18.1      28.7
                                              Hospital         5.5       12.7
                                              Peer             6.1       6.0
                                              Self             52.2      28.1

Chart modified to include variables over 3%




 Referral source for Females
    1. Self (52%)
    2. BME (18%)
 Referral source for Males
   1. BME (29%)
   2. Self (28%)
    Gender Differences – Results
         Referral Status
    More women came voluntarily
     (64%)
    More males were mandated (56%)
       Reactivations - Results
   13% of Males reactivated, 10% of Females
    reactivated
   Age was the only factor found to be significantly
    predictive of reactivation.
   Interestingly, physicians with physical problems
    had twenty-seven times the probability of
    reactivation.
   Clients who presented with substance abuse
    problems were twice as likely to reactivate.
   Clients with either professional boundary or legal
    problems had nearly twice the likelihood of
    reactivation.
                  Discussion
   Male and Female physician clients presented
    differently.
   Gender specific frameworks will assist in effective
    outreach and intervention.
   Reactivated Clients:
     – Special attention needs to be paid to older
       clients, and those that present with physical
       problems, substance abuse, professional
       boundary or legal problems.
          Contact Information
 Please email the authors if you would
 like a copy of this paper presentation

 Nahid    Hotchkiss, PhD
  – nahid3@juno.com
 Sarah    Early, PsyD
  – searly@cphp.org

								
To top