Emily C Williams1, Gwen T Lapham2, Anna D Rubinsky3, Laura J Chavez4, Douglas Berger5, Katharine A Bradley6. 1. Health Services Research & Development (HSR&D) Center of Innovation for Veteran-Centered and Value-Driven Care, Veterans Affairs (VA) Puget Sound Health Care System, Seattle, WA, United States; Department of Health Services, University of Washington, Seattle, WA, United States; Kaiser Permanente Washington Health Research Institute, Seattle, WA, United States. Electronic address: Emily.Williams3@va.gov. 2. Kaiser Permanente Washington Health Research Institute, Seattle, WA, United States. Electronic address: Lapham.g@ghc.org. 3. The Kidney Health Research Collaborative, University of California, San Francisco and San Francisco VA Medical Center, San Francisco, CA, United States. Electronic address: Anna.Rubinsky@va.gov. 4. Ohio State University, School of Public Health, Columbus, OH, United States. Electronic address: Chavez.105@osu.edu. 5. General Medicine Service, Veterans Affairs (VA) Puget Sound Health Care System, Seattle, WA, United States; Department of Medicine, University of Washington, Seattle, WA, United States. Electronic address: douglas.berger@va.gov. 6. Center of Excellence for Substance Abuse Treatment and Education (CESATE), Veterans Affairs (VA) Puget Sound Health Care System, Seattle, WA, United States; General Medicine Service, Veterans Affairs (VA) Puget Sound Health Care System, Seattle, WA, United States; Department of Medicine, University of Washington, Seattle, WA, United States; Kaiser Permanente Washington Health Research Institute, Seattle, WA, United States. Electronic address: Bradley.k@ghc.org.
Abstract
AIMS: Women are less likely than men to receive brief intervention (BI) for unhealthy alcohol use. In 2007, the U.S. Veterans Health Administration (VA) used a national performance measure to implement BI. Although AUDIT-C scores ≥3 for women and ≥4 for men optimize sensitivity and specificity for identifying unhealthy alcohol use, VA's performance measure required BI only among a targeted subgroup defined by a non-gender-specific score threshold (AUDIT-C ≥5). This may have influenced gender differences in receipt of BI among those optimally eligible for BI. Therefore, we evaluate differences in proportions of women and men offered BI before and after BI implementation. METHODS: National secondary chart review data (7/06-6/10) identified all outpatients with unhealthy alcohol use for whom BI would be indicated (AUDIT-C ≥3 women, ≥4 men). Logistic regression, including a time-by-gender interaction, estimated the prevalence and 95% confidence interval (CI) of BI for women and men pre- and post-implementation. FINDINGS: Among patients optimally eligible for BI (n=51,272, 8206 women and 43,066 men), the prevalence of BI increased more steeply for men than women after implementation (interaction p-value <0.0001). Pre-implementation rates of BI were 21% (95% CI, 18-24) for women and 26% (95% CI, 24-29) for men, and post-implementation rates were 32% (95% CI, 30-34) for women and 47% (95% CI, 45-49) for men. CONCLUSIONS: Healthcare systems implementing BI with performance measures may wish to consider that specifying a single alcohol screening threshold for men and women may increase gender differences in receipt of BI among patients likely to benefit.
AIMS: Women are less likely than men to receive brief intervention (BI) for unhealthy alcohol use. In 2007, the U.S. Veterans Health Administration (VA) used a national performance measure to implement BI. Although AUDIT-C scores ≥3 for women and ≥4 for men optimize sensitivity and specificity for identifying unhealthy alcohol use, VA's performance measure required BI only among a targeted subgroup defined by a non-gender-specific score threshold (AUDIT-C ≥5). This may have influenced gender differences in receipt of BI among those optimally eligible for BI. Therefore, we evaluate differences in proportions of women and men offered BI before and after BI implementation. METHODS: National secondary chart review data (7/06-6/10) identified all outpatients with unhealthy alcohol use for whom BI would be indicated (AUDIT-C ≥3 women, ≥4 men). Logistic regression, including a time-by-gender interaction, estimated the prevalence and 95% confidence interval (CI) of BI for women and men pre- and post-implementation. FINDINGS: Among patients optimally eligible for BI (n=51,272, 8206 women and 43,066 men), the prevalence of BI increased more steeply for men than women after implementation (interaction p-value <0.0001). Pre-implementation rates of BI were 21% (95% CI, 18-24) for women and 26% (95% CI, 24-29) for men, and post-implementation rates were 32% (95% CI, 30-34) for women and 47% (95% CI, 45-49) for men. CONCLUSIONS: Healthcare systems implementing BI with performance measures may wish to consider that specifying a single alcohol screening threshold for men and women may increase gender differences in receipt of BI among patients likely to benefit.
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