Volume 10 Supplement 1

Abstracts from the 2014 Addiction Health Services Research (AHSR) Conference

Open Access

Examining factors associated with treatment completion in a community-based program for individuals with criminal justice involvement

  • Lisa M Shannon1Email author,
  • Afton Jackson1,
  • Jennifer Newell1,
  • Elizabeth Perkins1 and
  • Connie Neal2
Addiction Science & Clinical Practice201510(Suppl 1):A60

https://doi.org/10.1186/1940-0640-10-S1-A60

Published: 20 February 2015

Background

Drug court provides community-based treatment to individuals with substance abuse problems involved in the criminal justice system. The program offers comprehensive treatment as an alternative to incarceration. Past research has suggested there are sociodemographic and other personal characteristics that may impact an individual’s success in this type of program. The purpose of the current study is to examine factors associated with treatment completion among a random sample of program participants.

Methods

A stratified random sample (n = 534) was selected from the total participants in Kentucky Drug Courts (KDC; N = 4881) from July 1, 2006, to January 1, 2011. The stratification was utilized to ensure participants were selected from all KDC sites, proportionate to the percentage the site represented of the total KDC population. Data utilized for these analyses were gathered from: the baseline assessment at program entry (a modified version of the Addiction Severity Index (ASI); [1]) and the KDC Management Information System, which contains comprehensive information on services and activities during program participation. The majority of the sample was male (60.3%) and, on average, about 30 years old (mean = 29.5; SD = 8.7).

Results

Overall, of the 534 individuals selected as part of the stratified random sample, 36.3 percent were program graduates (n = 194). Enter binary logistic regression was utilized to examine factors associated with program completion. There were several variables positively associated with program completion including: increased age (p < .001), reporting race as Caucasian (p = .015), being single/never married (p = .004), no past history of alcohol/drug treatment (p = .019), not reporting a pension for psychiatric disability (p = .007), no referrals to short-term residential treatment (p = .033), and not having any programmatic sanctions (p = .002). There were several variables negatively associated with program completion including: having less than a high school diploma (p = .038), being unemployed (p = .011), no referrals to outpatient substance abuse treatment (p < .001), and number of positive drug tests (p = .019).

Conclusions

Understanding factors associated with program completion is important for multiple levels of programming. First, identifying characteristics of individuals most associated with program graduation can help with targeting screening and program assessment. Further, identifying characteristics of individuals most associated with program noncompliance can help with identifying individuals most at risk within the program to develop appropriate treatment and service planning.

Declarations

Acknowledgements

Financial support for this research was provided by a Bureau of Justice Assistance (BJA) grant (Principal Investigator: Lisa Shannon). The views expressed are attributed to the authors and do not necessarily reflect the opinion of the funding agency or other collaborative partners.

Authors’ Affiliations

(1)
Sociology, Social Work and Criminology, Morehead State University
(2)
Department of Statewide Services, Kentucky Drug Courts, Administrative Office of the Courts

References

  1. McLellan A, Luborsky L, Woody G, O'Brien C: An improved diagnostic evaluation instrument for substance abuse patients. J Nervous Mental Disorders. 1980, 168: 26-33. 10.1097/00005053-198001000-00006.View ArticleGoogle Scholar

Copyright

© Shannon et al; licensee BioMed Central Ltd. 2015

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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