Identifying Predictors of Substance Use and Recidivism Outcome Trajectories Among Drug Treatment Court Clients

Drug treatment court (DTC) is a diversion program for individuals with drug-related crimes. However, the DTC literature is conflicting with regard to substance use and recidivism outcomes. This study examines factors associated with improved client outcome trajectories among a multisite, national DT...

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VerfasserInnen: Wilson, John L. (Verfasst von) ; Yang, Hongmei (Verfasst von) ; Bandyopadhyay, Sanjukta (Verfasst von) ; Cerulli, Catherine (Verfasst von) ; Morse, Diane S. (Verfasst von)
Medienart: Elektronisch Aufsatz
Sprache:Englisch
Veröffentlicht: [2018]
In: Criminal justice and behavior
Jahr: 2018, Band: 45, Heft: 4, Seiten: 447-467
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Schlagwörter:
Drug treatment court
Drug court
Recidivism
Substance use
Client characteristics
Adaptive programming
Global Appraisal of Individual Needs
Beschreibung
Zusammenfassung:Drug treatment court (DTC) is a diversion program for individuals with drug-related crimes. However, the DTC literature is conflicting with regard to substance use and recidivism outcomes. This study examines factors associated with improved client outcome trajectories among a multisite, national DTC sample. We conducted a secondary analysis of 2,295 participants using the Global Appraisal of Individual Needs assessment tool. Participants in community-based treatment comprised a nonequivalent comparison group. Zero-inflated Poisson (ZIP) regression examined client sociodemographics in relation to substance use and rearrest at 6-month follow-up. Employed DTC clients were more likely to abstain from substances, but among all study participants, higher baseline use, male gender, and employment predicted substance use. Similarly, among DTC clients, older age and employment predicted no rearrests, but among all study participants, older and employed individuals had worse arrest outcome trajectories. Future work is needed to better understand how client characteristics may inform individualized treatment approaches.
ISSN:1552-3594
DOI:10.1177/0093854817737806