Latent class analysis of alcohol treatment utilization patterns and 3-year alcohol related outcomes.

People who obtain treatment for alcohol use problems often utilize multiple sources of help. While prior studies have classified treatment use patterns for alcohol use, an empirical classification of these patterns is lacking. For the current study, we created an empirically derived classification of treatment use and described how these classifications were prospectively associated with alcohol-related outcomes. Our sample included 257 participants of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) who first received alcohol treatment in the 3-year period prior to their baseline interview. We used latent class analysis to identify classes of treatment users based on their patterns of treatment use of 13 types of alcohol treatment. Regression models examined how classes of treatment use at baseline were associated with alcohol-related outcomes assessed at a 3-year follow-up interview. Outcomes included a continuous measure of the quantity and frequency of alcohol use and DSM-IV alcohol use disorder status. Four classes of treatment users were identified: (1) multiservice users (8.7%), (2) private professional service users (32.8%), (3) alcoholics anonymous (AA) paired with specialty addiction service users (22.0%), and (4) users of AA alone (36.5%). Those who utilized AA paired with specialty addiction services had better outcomes compared to those who used AA alone. In addition to elucidating the most common treatment utilization patterns executed by people seeking help for their alcohol problems, the results from this study suggest that increased efforts may be needed to refer individuals across sectors of care to improve treatment outcomes. Published by Elsevier Inc.