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Predictors of incarceration among urban adults with co-occurring severe mental illness and a substance use disorder.

ABSTRACT: People with severe mental illness and a co-occurring substance use disorder (co-occurring disorders) who live in urban areas experience high rates of incarceration. This study examined sociodemographic, clinical, economic, and community integration factors as predictors of incarceration among people with co-occurring disorders.This secondary analysis used data from a randomized controlled trial of assertive community treatment versus standard case management. In the parent study, researchers interviewed 198 people with co-occurring disorders from two urban mental health centers in Connecticut at baseline and every six months for three years. Researchers tracked incarceration, clinical engagement and status, employment, living situation, social relationships, and substance use. The study reported here used bivariate analyses and logistic regression analyses to compare individuals who were incarcerated during the study period with those who were not.The overall incarceration rate was 38% during the study period. In multivariate analyses, prior incarceration predicted incarceration during the study period (odds ratio [OR]=3.26). Two factors were associated with a reduced likelihood of incarceration: friendships with individuals who did not use substances (OR=.19) and substance use treatment engagement (OR=.60).Positive social relationships and engagement in substance use treatment are promising service and policy targets to prevent incarceration in this high-risk population.

SUBMITTER: Luciano A

PROVIDER: S-EPMC4294993 | biostudies-literature | 2014 Nov

REPOSITORIES: biostudies-literature

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Predictors of incarceration among urban adults with co-occurring severe mental illness and a substance use disorder.

Luciano Alison A Belstock Johannes J Malmberg Per P McHugo Gregory J GJ Drake Robert E RE Xie Haiyi H Essock Susan M SM Covell Nancy H NH

Psychiatric services (Washington, D.C.) 20141031 11

<h4>Objective</h4>People with severe mental illness and a co-occurring substance use disorder (co-occurring disorders) who live in urban areas experience high rates of incarceration. This study examined sociodemographic, clinical, economic, and community integration factors as predictors of incarceration among people with co-occurring disorders.<h4>Methods</h4>This secondary analysis used data from a randomized controlled trial of assertive community treatment versus standard case management. In ...[more]

PMID: 25022703

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Project description:IntroductionHigh rates of tobacco use among people with serious mental illness (SMI), along with their unique needs, suggest the importance of developing tailored smoking cessation interventions for this group. Previous early-phase work empirically validated the design and content of Learn to Quit, a theory-based app designed for this population.MethodsIn a pilot randomized controlled trial, we compared the feasibility, acceptability, and preliminary efficacy of Learn to Quit versus QuitGuide, an app designed for the general population. All participants received nicotine replacement therapy and technical assistance. Daily smokers with SMI (N = 62) participated in the trial with outcomes assessed at weeks 4, 8, 12, and 16.ResultsCompared to QuitGuide, Learn to Quit participants had similar number of days of app use (34 vs. 32, p = .754), but larger number of app interactions (335 vs. 205; p = .001), longer durations of app use (4.24 hrs. vs. 2.14 hrs; p = .044), and higher usability scores (85 vs. 79, p = .046). At week 16, Learn to Quit led to greater reductions in cigarettes per day (12.3 vs. 5.9 for QuitGuide; p = 0.10). Thirty-day point prevalence abstinence was verified in 12% of Learn to Quit participants versus 3% of QuitGuide participants (odds ratio = 3.86, confidence interval = 0.41 to 36, p = .239). Changes in psychiatric symptoms and adverse events were not clinically significant between conditions.ConclusionsThis pilot trial provides strong evidence of Learn to Quit's usability, feasibility, and safety. Preliminary evidence suggests the app may be efficacious. A randomized controlled efficacy trial is needed to test the app in a larger sample of smokers with SMI.ImplicationsThis study suggests that the Learn to Quit app is a feasible approach to deliver smoking cessation treatment in patients with co-occurring tobacco use disorder and SMI. This means that, if found efficacious, this technology could be used to deploy smoking cessation treatment to larger segments of this population, hence improving public health. Therefore, a randomized controlled trial should be conducted to examine the efficacy of this digital intervention.

Dataset Information

Predictors of incarceration among urban adults with co-occurring severe mental illness and a substance use disorder.

Publications

Predictors of incarceration among urban adults with co-occurring severe mental illness and a substance use disorder.

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