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Randomized Controlled Trial
. 2011 May;36(5):439-47.
doi: 10.1016/j.addbeh.2010.12.001. Epub 2010 Dec 10.

Predictors of initiation and engagement in substance abuse treatment among individuals with co-occurring serious mental illness and substance use disorders

Clayton H Brown  1 , Melanie E Bennett, Lan Li, Alan S Bellack
Affiliations
Randomized Controlled Trial

Predictors of initiation and engagement in substance abuse treatment among individuals with co-occurring serious mental illness and substance use disorders

Clayton H Brown et al. Addict Behav. 2011 May.

Abstract

Research has documented the significant challenges of engaging individuals with comorbid serious mental illness (SMI) and substance use disorders (SUDs) in substance abuse treatment. To date it is unclear which factors predict treatment initiation and engagement in this group of individuals with SUDs. In this study we conducted two analyses using data from a randomized trial of substance abuse treatment in outpatients with SMI: the first examining predictors (collected during screening) of completing an initial intake assessment and the second examining predictors (collected during the intake assessment) of becoming engaged in treatment. Results indicated that males and those with schizophrenia spectrum diagnoses were less likely to complete the intake assessment. Participants who reported more positive feelings about their family were more likely to engage in substance abuse treatment. Participants who were recently arrested were less likely to engage in treatment. Those who met criteria for current drug dependence were less likely to engage in treatment. Overall, these findings are a useful step in determining factors that predict substance abuse treatment initiation and engagement in individuals with SMI and SUDs.

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Conflict of interest statement

Conflict of Interest

All authors declare that they have no conflicts of interest.

Figures

Figure 1
Figure 1
Formation of the randomized and screened samples.
See this image and copyright information in PMC

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