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Article Abstract

Background: Most clinical trials evaluating treatments for alcohol use target individuals meeting diagnostic criteria for alcohol use disorder (AUD), but few address change in diagnostic status following treatment or as a potential outcome indicator. This study evaluated whether DSM-5 AUD total criteria count or severity category was sensitive to change over time and treatment effects.

Methods: Data were drawn from a randomized clinical trial that evaluated the efficacy of computer-based cognitive behavioral therapy program (CBT4CBT) for AUD. Sixty-eight individuals were randomized to 1 of the 3 weekly outpatient treatments for an 8-week period: (i) treatment as usual (TAU), (ii) TAU+CBT4CBT, and (iii) CBT4CBT+brief monitoring. Structured clinical interviews were used to determine current (past 30 days) AUD diagnosis at baseline, end-of-treatment, and 6 months following end-of-treatment. Change in the total number of DSM criteria endorsed, as well as severity categories (mild, moderate, severe), was evaluated across time and by treatment condition.

Results: Generalized Poisson's linear mixed models revealed a significant reduction in the number of DSM criteria from baseline to treatment end point [time effect χ (1) = 35.54, p < 0.01], but no significant interactions between time and treatment condition. Fewer total criteria endorsed, as well as achieving at least a 2-level reduction in AUD severity category at end-of-treatment, were associated with better outcomes during follow-up. Chi-square results indicated a greater proportion of individuals assigned to TAU+CBT4CBT had at least a 2-level reduction in severity category compared to TAU, at trend-level significance [χ (2, 54) = 5.13, p = 0.07], consistent with primary alcohol use outcomes in the main trial.

Conclusions: This is the first study to demonstrate change in DSM-5 AUD total criteria count, as well as severity category, in a randomized clinical trial. These findings offer support for their use as a potential clinically meaningful outcome indicator.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6281805PMC
http://dx.doi.org/10.1111/acer.13807DOI Listing

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