Jessica A Chen1, Joseph E Glass2, Kara M K Bensley3, Simon B Goldberg4, Keren Lehavot5, Emily C Williams6. 1. Health Services Research & Development (HSR&D), Seattle-Denver Center of Innovation for Veteran-Centered & Value-Driven Care, Veterans Affairs (VA) Puget Sound Health Care System, 1660 S. Columbian Way, S-152, Seattle, WA 98108, USA; Department of Psychiatry and Behavioral Sciences, University of Washington, 1959 NE Pacific St., Box 356560, Seattle, WA 98195-6560, USA. Electronic address: Jessica.Chen663@va.gov. 2. Department of Psychiatry and Behavioral Sciences, University of Washington, 1959 NE Pacific St., Box 356560, Seattle, WA 98195-6560, USA; Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave, Seattle, WA 98101, USA; Department of Health Services, University of Washington, 1959 NE Pacific St., Box 357660, Seattle, WA 98195-7660, USA. Electronic address: joseph.e.glass@kp.org. 3. Alcohol Research Group, Public Health Institute, 6001 Shellmound St, Suite 450, Emeryville, CA 94608, USA; Department of Public Health, Bastyr University, 14500 Juanita Dr NE, Kenmore, WA 98028, USA. Electronic address: kbensley@uw.edu. 4. Department of Counseling Psychology, University of Wisconsin - Madison, 335 Education Building, 1000 Bascom Mall, Madison, WI, 53706, USA. Electronic address: sbgoldberg@wisc.edu. 5. Health Services Research & Development (HSR&D), Seattle-Denver Center of Innovation for Veteran-Centered & Value-Driven Care, Veterans Affairs (VA) Puget Sound Health Care System, 1660 S. Columbian Way, S-152, Seattle, WA 98108, USA; Department of Psychiatry and Behavioral Sciences, University of Washington, 1959 NE Pacific St., Box 356560, Seattle, WA 98195-6560, USA; Department of Health Services, University of Washington, 1959 NE Pacific St., Box 357660, Seattle, WA 98195-7660, USA. Electronic address: Keren.Lehavot@va.gov. 6. Health Services Research & Development (HSR&D), Seattle-Denver Center of Innovation for Veteran-Centered & Value-Driven Care, Veterans Affairs (VA) Puget Sound Health Care System, 1660 S. Columbian Way, S-152, Seattle, WA 98108, USA; Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave, Seattle, WA 98101, USA; Department of Health Services, University of Washington, 1959 NE Pacific St., Box 357660, Seattle, WA 98195-7660, USA. Electronic address: Emily.Williams3@va.gov.
Abstract
OBJECTIVE: Brief intervention (BI) for unhealthy alcohol use is a top prevention priority for adults in the U.S, but rates of BI receipt vary across patients. We examine BI receipt across race/ethnicity and gender in a national cohort of patients from the Department of Veterans Affairs (VA)-the largest U.S. integrated healthcare system and a leader in implementing preventive care for unhealthy alcohol use. METHODS: Among 779,041 VA patients with documented race/ethnicity and gender who screened positive for unhealthy alcohol use (AUDIT-C score ≥ 5) between 10/1/09 and 5/30/13, we fit Poisson regression models to estimate the predicted prevalence of BI (EHR-documented advice to reduce or abstain from drinking) across race/ethnicity and gender. RESULTS: Rates of BI were lowest among Black women (67%), Black men (68%), and Asian/Pacific Islander women (68%), and highest among white men (75%), Hispanic men (75%), and Asian/Pacific Islander men (75%). A significant race/ethnicity by gender interaction indicated that the associations between race/ethnicity and gender with BI depended on the other factor. Gender differences were largest among Asian/Pacific Islander patients and were nonsignificant among American Indian/Alaska Native patients. Adjustment for covariates not expected to be on the causal pathway (e.g., age, year of AUDIT-C screen) slightly attenuated but did not change the direction of results. CONCLUSIONS: Receipt of BI for unhealthy alcohol use varied by race/ethnicity and gender, and the impact of one factor depended on the other. Black women, Black men, and Asian/Pacific Islander women had the lowest rates of receiving recommended alcohol-related care. We found these disparities in a healthcare system that has implemented universal alcohol screening and incentivized BI for all patients with unhealthy alcohol use, suggesting that reducing disparities in alcohol-related care may require targeted interventions.
OBJECTIVE: Brief intervention (BI) for unhealthy alcohol use is a top prevention priority for adults in the U.S, but rates of BI receipt vary across patients. We examine BI receipt across race/ethnicity and gender in a national cohort of patients from the Department of Veterans Affairs (VA)-the largest U.S. integrated healthcare system and a leader in implementing preventive care for unhealthy alcohol use. METHODS: Among 779,041 VA patients with documented race/ethnicity and gender who screened positive for unhealthy alcohol use (AUDIT-C score ≥ 5) between 10/1/09 and 5/30/13, we fit Poisson regression models to estimate the predicted prevalence of BI (EHR-documented advice to reduce or abstain from drinking) across race/ethnicity and gender. RESULTS: Rates of BI were lowest among Black women (67%), Black men (68%), and Asian/Pacific Islander women (68%), and highest among white men (75%), Hispanic men (75%), and Asian/Pacific Islander men (75%). A significant race/ethnicity by gender interaction indicated that the associations between race/ethnicity and gender with BI depended on the other factor. Gender differences were largest among Asian/Pacific Islander patients and were nonsignificant among American Indian/Alaska Native patients. Adjustment for covariates not expected to be on the causal pathway (e.g., age, year of AUDIT-C screen) slightly attenuated but did not change the direction of results. CONCLUSIONS: Receipt of BI for unhealthy alcohol use varied by race/ethnicity and gender, and the impact of one factor depended on the other. Black women, Black men, and Asian/Pacific Islander women had the lowest rates of receiving recommended alcohol-related care. We found these disparities in a healthcare system that has implemented universal alcohol screening and incentivized BI for all patients with unhealthy alcohol use, suggesting that reducing disparities in alcohol-related care may require targeted interventions.
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