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397 Factors needing attention to implement effective drug treatment in community correctional in Puerto Rico
OBJECTIVES/GOALS: The complex health profile of those supervised by community corrections places them at a greater risk of morbidity and mortality from social disruption, infection, and of substance misuse, relapse, and overdose. This study aims to explore individual and social determinants of SUD a...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9209158/ http://dx.doi.org/10.1017/cts.2022.225 |
Sumario: | OBJECTIVES/GOALS: The complex health profile of those supervised by community corrections places them at a greater risk of morbidity and mortality from social disruption, infection, and of substance misuse, relapse, and overdose. This study aims to explore individual and social determinants of SUD and treatment utilization for this population. METHODS/STUDY POPULATION: A secondary data analysis was conducted using an administrative database from the Department of Corrections of Puerto Rico (DoC-PR) that included individuals under community supervision between 2015 and 2018 (N=13,163). Two logistic regression analysis were performed to predict SUD and SUD treatment utilization. The predictors included in the models were: a) age, b) gender, c) civil status, d) education level, e) employment status, f) income, g) number of dependents, h) housing zone, I) type of crime, j) offender classification k) community sentence classification, and k) sentence duration. RESULTS/ANTICIPATED RESULTS: A total of 4,531 cases (34.4%) were identified with an SUD and of these 79.2% were enrolled in treatment. Significant predictors of SUD included a parole sentence (vs probation), commission of felony, decreasing sentence duration and recidivism. Significant demographic variables include, male, single, younger age, unemployed, residing in an urban zone and decreasing income. Significant predictors for SUD treatment utilization were a probation sentence, older age and residing in a rural zone. Mandated treatment may explain a higher likelihood of treatment utilization, yet prevalent modalities consist of residential abstinence based, non-professionalized services known to have poor treatment outcomes. The current data set does not include follow up data to assess changes in treatment utilization. DISCUSSION/SIGNIFICANCE: We should aim to prevent health and social disparities and risk of sentence revocation associated with interventions that lack evidence to support their effectiveness. Next steps should address challenges and opportunities for the adoption of EBPPs for individuals with an SUD under community corrections supervision. |
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