Benjamin J Oldfield1, Kathleen A McGinnis2, E Jennifer Edelman3, Emily C Williams4, Adam J Gordon5, Kathleen Akgün6, Stephen Crystal7, Lynn E Fiellin3, Julie R Gaither8, Joseph L Goulet9, P Todd Korthuis10, Brandon D L Marshall11, Amy C Justice6, Kendall Bryant12, David A Fiellin3, Kevin L Kraemer13. 1. National Clinician Scholars Program, Yale School of Medicine, New Haven, CT, United States of America; Department of Medicine, Yale School of Medicine, New Haven, CT, United States of America; Department of Pediatrics, Yale School of Medicine, New Haven, CT, United States of America. Electronic address: benjamin.oldfield@yale.edu. 2. Department of Medicine, VA Connecticut Healthcare System, West Haven, CT, United States of America. 3. Department of Medicine, Yale School of Medicine, New Haven, CT, United States of America. 4. School of Public Health, University of Washington, Seattle, WA, United States of America; Health Services Research and Development, VA Puget Sound Healthcare Services, Seattle, WA, United States of America. 5. Department of Medicine, University of Utah, Salt Lake City, UT, United States of America; Department of Medicine, Salt Lake City VA Health Care System, Salt Lake City, UT, United States of America. 6. Department of Medicine, Yale School of Medicine, New Haven, CT, United States of America; Department of Medicine, VA Connecticut Healthcare System, West Haven, CT, United States of America. 7. School of Social Work, Rutgers University, New Brunswick, NJ, United States of America. 8. Department of Pediatrics, Yale School of Medicine, New Haven, CT, United States of America. 9. Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States of America. 10. Department of Medicine, Oregon Health Sciences University, Portland, OR, United States of America. 11. School of Public Health, Brown University, Providence, RI, United States of America. 12. National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, United States of America. 13. Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States of America.
Abstract
INTRODUCTION: Infrequent use of and poor retention on evidence-based medications for alcohol use disorder (MAUD) represent a treatment gap, particularly among people living with HIV (PLWH). We examined predictors of MAUD initiation and retention across HIV status. METHODS: From Veterans Aging Cohort Study (VACS) data, we identified new alcohol use disorder (AUD) diagnoses from 1998 to 2015 among 163,339 individuals (50,826 PLWH and 112,573 uninfected, matched by age, sex, and facility). MAUD initiation was defined as a prescription fill for naltrexone, acamprosate or disulfiram within 30 days of a new diagnosis. Among those who initiated, retention was defined as filling medication for ≥80% of days over the following six months. We used multivariable logistic regression to assess patient- and facility-level predictors of AUD medication initiation across HIV status. RESULTS: Among 10,603 PLWH and 24,424 uninfected individuals with at least one AUD episode, 359 (1.0%) initiated MAUD and 49 (0.14%) were retained. The prevalence of initiation was lower among PLWH than those without HIV (adjusted odds ratio [AOR] 0.66, 95% confidence interval [CI] 0.51-0.85). Older age (for PLWH: AOR 0.78, 95% CI 0.61-0.99; for uninfected: AOR 0.70, 95% CI 0.61-0.80) and black race (for PLWH: AOR 0.63, 95% CI 0.0.49-0.1.00; for uninfected: AOR 0.63, 95% CI 0.48-0.83), were associated with decreased odds of initiation for both groups. The low frequency of retention precluded multivariable analyses for retention. CONCLUSIONS: For PLWH and uninfected individuals, targeted implementation strategies to expand MAUD are needed, particularly for specific subpopulations (e.g. black PLWH).
INTRODUCTION: Infrequent use of and poor retention on evidence-based medications for alcohol use disorder (MAUD) represent a treatment gap, particularly among people living with HIV (PLWH). We examined predictors of MAUD initiation and retention across HIV status. METHODS: From Veterans Aging Cohort Study (VACS) data, we identified new alcohol use disorder (AUD) diagnoses from 1998 to 2015 among 163,339 individuals (50,826 PLWH and 112,573 uninfected, matched by age, sex, and facility). MAUD initiation was defined as a prescription fill for naltrexone, acamprosate or disulfiram within 30 days of a new diagnosis. Among those who initiated, retention was defined as filling medication for ≥80% of days over the following six months. We used multivariable logistic regression to assess patient- and facility-level predictors of AUD medication initiation across HIV status. RESULTS: Among 10,603 PLWH and 24,424 uninfected individuals with at least one AUD episode, 359 (1.0%) initiated MAUD and 49 (0.14%) were retained. The prevalence of initiation was lower among PLWH than those without HIV (adjusted odds ratio [AOR] 0.66, 95% confidence interval [CI] 0.51-0.85). Older age (for PLWH: AOR 0.78, 95% CI 0.61-0.99; for uninfected: AOR 0.70, 95% CI 0.61-0.80) and black race (for PLWH: AOR 0.63, 95% CI 0.0.49-0.1.00; for uninfected: AOR 0.63, 95% CI 0.48-0.83), were associated with decreased odds of initiation for both groups. The low frequency of retention precluded multivariable analyses for retention. CONCLUSIONS: For PLWH and uninfected individuals, targeted implementation strategies to expand MAUD are needed, particularly for specific subpopulations (e.g. black PLWH).
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