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Assuring High Quality Primary Care for Women Veterans: Predictors of Success

Assuring High Quality Primary Care for Women Veterans: Predictors of Success. Bevanne Bean-Mayberry, MD, MHS Chung-Chou Chang, PhD Melissa McNeil, MD, MPH Sarah Hudson Scholle, DrPH VA Pittsburgh & University of Pittsburgh. Why Study Women in the VA?.

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Assuring High Quality Primary Care for Women Veterans: Predictors of Success

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  1. Assuring High Quality Primary Care for Women Veterans: Predictors of Success Bevanne Bean-Mayberry, MD, MHSChung-Chou Chang, PhDMelissa McNeil, MD, MPHSarah Hudson Scholle, DrPH VA Pittsburgh & University of Pittsburgh

  2. Why Study Women in the VA? • One of the fastest growing VA populations • Numbers exceed 1.7 million nationally • 15% of active military and reserve forces • 20% of new recruits prior to current Persian Gulf War • Gaps in care and vulnerable health risks resulted in Public Law 102-585 to improve VA preventive and gender-specific care • Health care issues for women in the VA are different from men and different from civilian women

  3. Background: Women’s Health • In the US, health care for women is often fragmented, and primary care goals such as comprehensiveness and coordination are difficult to achieve • In the VA, reports on women veteran health care have repeatedly documented problems with gender-sensitivity, comprehensiveness and coordination of care • VA promoted specialized women’s clinics or teams to address the issues, yet nearly a quarter of VA facilities lack formal approaches for addressing these primary care goals

  4. Background: Women’s Health • Factors associated with attainment of primary care goals: • Female Providers: • increased gynecological and mammography services • Increased gender-specific counseling and communication • Gynecological Services: • 33-50% of women use a gynecologist and generalist • women prefer gynecological care at the same site where they obtain general care • Women’s Health Settings: • comparable or better preventive care and satisfaction

  5. Research Question • What is the effect of combining female provider, routine gynecological care from the provider, and women’s health setting on patient ratings of primary care?

  6. Aim and Hypotheses • Specific Aim: To determine if the combined effects of provider gender, routine gynecologic services from the provider, and women’s clinic setting improve patient ratings of primary care quality • Hypotheses: Women in general primary care settings will have higher primary care quality ratings 1. If the regular provider is female 2. If the regular provider manages routine gynecological care 3. If the patient participates in a gender-specific women’s clinic setting

  7. Methods • Study Population: Stratified random sample of women veterans from clinics in 10 VAMCs in VISN 4 (Pennsylvania, West Virginia, and Delaware region) obtained from the VA National Patient Care Database • Eligibility criteria: • Female veterans • >1 outpatient visit March 1,1999 to March 1, 2000 • Use of traditional primary care or women’s clinic • Design: Cross-sectional, anonymous survey (2000)

  8. Methods: Measures • Tool: Components of Primary Care Index (Flocke 1997) • Dependent variables: 4 domains • 1) Patient preference for provider (i.e., continuity) • 2) Interpersonal communication • 3) Coordination of care • 4) Accumulated Knowledge • Domain scoring: • 6 point scale (i.e., strongly disagree to strongly agree) • Summary score adjusted for 1-2 missing items, no imputations • Responses dichotomized to perfect score vs. all other

  9. Methods: Measures cont. • Independent variables: • Gender of VA provider • Routine gynecological care managed by VA provider • Use of a VA women’s clinic setting • All three items were combined into 6 exclusive Provider - service – clinic categories • Control variables: age, race, marital status, education, income, health status, and site

  10. Provider-Service-Clinic Categories Note: PCP = Primary care provider; GYN = Gynecological care by provider; WC = Women’s clinic

  11. Analytic Sample

  12. Analysis • Patient characteristics were described and patients were grouped along 6 provider – service – clinic categories to look for differences • Multiple logistic regression was used to identify factors independently associated with perfect ratings on each primary care domain

  13. Results: Patient Characteristics

  14. Results: Provider-Service-Clinic Note: PCP = Primary care provider; GYN = Gynecological care by provider; WC = Women’s clinic

  15. Adjusted Odds of a Perfect Score: Patient Preference for Provider

  16. Adjusted Odds of a Perfect Score: Interpersonal Communication

  17. Adjusted Odds of a Perfect Score: Coordination of Care

  18. Adjusted Odds of a Nearly Perfect Score: Accumulated Knowledge

  19. Limitations • Data are cross-sectional, retrospective and generalize only to the VA setting • Non-respondents could not be identified • No information on clustering of providers • Provider – clinic – service categories were limited due to size of groups • Findings are based only on patient ratings without additional evidenced-based indicators of quality

  20. Summary of Perfect Ratings • Communication: • strongest association with female PCP • Coordination: • strongest association with female PCP • Preference for provider: • strongest association with female PCP, GYN care, and WC • Accumulated Knowledge: • strongest association with female PCP, GYN care, and WC

  21. Conclusions • Female providers who manage routine gynecological care (within or exclusive of women’s clinic settings) have combined effects associated with high patient primary care ratings • Male providers who manage routine gynecological care or may interact in women’s clinic settings have effects associated with high patient primary care ratings

  22. Implications for Women in VA • Availability of provider choice and comprehensive services (inclusive of routine gynecological care) may result in less fragmentation and better primary care • However…. • Data are needed on the structural components of these organizational models for women in the VA, and…. • Data are needed on the clinical outcomes for women in these different health care delivery models • Without these data, health care policy will not reflect quality measures and VA practice structure

  23. Funding Dr. Bean-Mayberry’s support: VA HSR&D Career Development Award #02-039-2 VISN 4 Competitive Pilot Project Funds VA Office of Academic Affairs, Women’s Health Fellowship University of Pittsburgh, School of Public Health Mentors: Dr. Sarah Hudson Scholle, NCQA & University of Pitt. Dr. Michael Fine, Director, CHERP, VA Pittsburgh Dr. Elizabeth Yano, Deputy Director, VA Greater Los Angeles HSR&D Center of Excellence

  24. Questions

  25. Public Health Law 102-585 The Women Veterans Health Programs Act covered: counseling for military related sexual trauma broadening clinical services to include reproductive and gender-specific care (excluding infertility/abortion) expansion of health care services available and accessible to women veterans; support for women veteran coordinators in each regional office of the VA (VA Health Care for Women, January 1999; HR 5193; Bill Summary and Status for the 102nd Congress at http://thomas.loc.gov/cgi bin/bdquery/z?d102:HR05193.).

  26. Results: Proportion of Perfect Scores *Accumulated Knowledge was based on nearly perfect scores.

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