Brief Report: Lack of a race effect in primary care ratings among women veterans
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OBJECTIVE: To explore the effect of race on primary care quality and satisfaction among women in the Department of Veterans Affairs (VA).
METHODS: We used a mail survey to measure primary care quality and satisfaction. We focused on 4 primary care domains: patient preference for provider, interpersonal communication, accumulated knowledge, and coordination. We performed univariate analyses to compare variables by race and multiple logistic regression analysis to examine the effect of race on the probability of reporting a perfect score on each domain, while adjusting for patient characteristics and site.
RESULTS: Black women were younger, unmarried, educated, of higher income, and reported female providers and gynecological care in VA more often. In regression analysis, race was not significantly associated with any primary care domain or satisfaction. Gynecological care from VA provider was associated with perfect ratings on patient preference for provider (odds ratio [OR] 2.0, 95% confidence intervals [CI] 1.3, 3.1), and satisfaction (OR 1.6, 95% CI 1.2, 2.3), while female provider was associated with interpersonal communication (OR 1.9, 95% CI 1.4, 2.6).
CONCLUSIONS: While demographics and health experiences vary by race among veterans, race had no effect on primary care ratings. Future studies need to determine whether this racial equity persists in health outcomes among women veterans.
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- Brief Report: Lack of a race effect in primary care ratings among women veterans
Journal of General Internal Medicine
Volume 21, Issue 10 , pp 1105-1108
- Cover Date
- Print ISSN
- Online ISSN
- Additional Links
- patient satisfaction
- primary care
- Industry Sectors
- Author Affiliations
- 1. Center for Health Equity, Research and Promotion, VA Pittsburgh Healthcare System (151C-U), University Drive C, 15240, Pittsburgh, PA
- 2. Division of General Internal Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- 3. Department of Health Policy and Management, University of Pittsburgh, Pittsburgh, PA, USA
- 4. Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- 5. Research and Analysis Division, National Committee for Quality Assurance, Washington, DC, USA