Predicting the effect of substance abuse treatment on probationer recidivism

被引：0
作者：
Lattimore P.K. [1 ,2 ,3 ]
Krebs C.P. [2 ,4 ]
Koetse W. [2 ,4 ]
Lindquist C. [2 ,4 ]
Cowell A.J. [2 ,5 ]
机构：
[1] Department of Criminology and Criminal Justice, University of South Carolina, Columbia
[2] Health, Social, and Economics Research, RTI International, Res. Triangle Park, NC 27709-2194
[3] Center for the Management of Risk Behavior, Department of Criminology and Criminal Justice, University of South Carolina
来源：
Journal of Experimental Criminology | 2005年 / 1卷 / 2期
关键词：
Drug treatment; Drug-involved offender; Non-residential substance abuse treatment; Probation; Recidivism;
D O I：
10.1007/s11292-005-1617-z
中图分类号：
学科分类号：
摘要：
Support for the effectiveness of substance abuse treatment to reduce substance use and recidivism among populations supervised by the criminal justice system continues to grow in substance abuse and criminal justice literature. Recent studies show that a variety of programs including the Breaking the Cycle program and drug courts appear to result in improved outcomes for offenders. In this paper, we examine the effect of non-residential substance abuse treatment on arrest. Our data are for almost 134,000 'drug-involved' individuals sentenced to probation in Florida between July 1995 and June 2000. Nearly 52,000 of these individuals received non-residential substance abuse treatment, while 81,797 did not. Our approach is a methodologically simple one that entails stratifying our data by treatment status, estimating logit and negative binomial models of arrest for each of the two datasets, and then applying each model to both datasets. This approach, which requires that both groups include subjects for whom treatment is appropriate, is analogous to using regression models to predict outcomes for new values of independent variables. For each observation in the dataset, we use the models to predict the expected outcomes for each individual under two scenarios - receiving non-residential treatment and receiving no treatment. Summing over these individual estimates provides an estimate of the total numbers of arrests that would be expected under different levels of population exposure to treatment. Results suggest that non-residential treatment reduced both the expected numbers of individuals who recidivated (i.e., were arrested) and the expected total numbers of arrests in the 12 and 24 months following placement on supervision. © Springer 2005.
引用
收藏
页码：159 / 189
页数：30
相关论文
共 49 条
  • [11] Deschenes E.P., Moreno K., Condon C., Success of Drug Court Participants: Central and South Justice Centers Superior Court of Orange County, (2001)
  • [12] Falkin G.P., Strauss S., Bohen T., Matching drug-involved probationers to appropriate drug interventions: A strategy for reducing recidivism, Federal Probation, 63, 1, pp. 3-8, (1999)
  • [13] Fielding J.E., Tye G., Ogawa P.L., Imam L.J., Long A.M., Los Angeles County drug court programs: Initial results, Journal of Substance Abuse Treatment, 23, 3, pp. 217-224, (2002)
  • [14] Finigan M., Societal Outcomes and Cost Savings of Drug and Alcohol Treatment in the State of Oregon, (1996)
  • [15] Flynn P.M., Craddock S.G., Hubbard R.L., Anderson J., Etheridge R.M., Methodological overview and research design for DATOS, Psychology of Addictive Behaviors, 11, 4, pp. 230-243, (1997)
  • [16] Fulton B., Latessa E., Stichman A., Travis L., The state of ISP: Research and policy implications, Federal Probation, 61, 4, pp. 65-75, (1997)
  • [17] Gendreau P., Goggin C., Little T., Predicting Adult Offender Recidivism: What Works!, (1996)
  • [18] Gendreau P., Goggin C., Cullen F.T., Andrews D.A., The effects of community sanctions and incarceration on recidivism, Forum on Corrections Research, 12, 3, pp. 10-13, (2000)
  • [19] Glaze L., Probation and Parole in the United States, 2003, (2004)
  • [20] Gottfredson D.C., Exum M.L., The Baltimore city drug treatment court: One-year results from a randomized study, Journal of Research in Crime and Delinquency, 39, 3, pp. 337-356, (2002)
12345