Journal of Offender Rehabilitation · 2014 · 20 citations · 35 references
PharmacyGender StudiesSubstance Abuse CounselingSubstance Use DisordersSubstance Use PreventionCovariate AnalysisCovariate ModelingSubstance Abuse PreventionLogistic RegressionLogistic Regression AnalysisProgram Completion AnalysisProgram Completion RatesProgram Outcomes EvaluationSubstance Abuse TreatmentTreatment Outcome AnalysisTreatment Outcome Prediction
The study purpose was to examine gender differences in factors of potential importance (i.e., substance use, mental health, treatment motivation, criminal activity/thinking) which may help predict treatment outcome among a sample of individuals in drug court. Baseline data were collected via face-to-face interviews from a sample of individuals participating in drug court (N = 515). The multivariate logistic regression analysis showed: age (p < .001), employment (p < .001), and number of months of lifetime incarceration (p < .001) were significant predictors of program completion. Based on study findings, gender may not be a critical factor on program completion in drug court. Rather, the multivariate analysis suggests several of these other characteristics are the critical factors in understanding completion of the drug court program.
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The fifth edition of the addiction severity index
A. Thomas McLellan, Harvey Kushner, David S. Metzger et al. · Journal of Substance Abuse Treatment · 1992 · 4.3K citations
Medicine, Psychiatry, Psychology +13