Adherence to Scheduled Sessions in a Randomized Field Trial of Case Management: The Criminal Justice-Drug Abuse Treatment Studies Transitional Case Management Study

Michael Prendergast, Lisa Greenwell, Jerome Cartier, Joann Sacks, Linda Frisman, Eleni Rodis, Jennifer R Havens, Michael Prendergast, Lisa Greenwell, Jerome Cartier, Joann Sacks, Linda Frisman, Eleni Rodis, Jennifer R Havens

Abstract

The Transitional Case Management (TCM) study, one of the projects of the Criminal Justice Drug Abuse Treatment Studies (CJ-DATS) cooperative, was a multi-site randomized test of whether a strengths-based case management intervention provided during an inmate's transition from incarceration to the community increases participation in community substance abuse treatment, enhances access to needed social services, and improves drug use and crime outcomes. As in many intervention studies, TCM experienced a relatively large percentage of treatment-group participants who attended few or no scheduled sessions. The paper discusses issues with regard to participation in community case management sessions, examines patterns of session attendance among TCM participants, and analyzes client and case manager characteristics that are associated with number of sessions attended and with patterns of attendance. The average number of sessions (out of 12) attended was 5.7. Few client or case manager characteristics were found to be significantly related to session attendance. Clinical and research implications of the findings and of adherence in case management generally are discussed.

Figures

Fig. 1
Fig. 1
Results of trajectory analysis of number of community sessions attended. Group 1 low attendance; group 2 moderate attendance; group 3 high attendance

References

    1. Angrist JD. Instrumental variables methods in experimental criminological research: what, why and how. Journal of Experimental Criminology. 2006;2(1):23–44. doi: 10.1007/s11292-005-5126-x.
    1. Baekeland F, Lundwall L. Dropping out of treatment: a critical review. Psychological Bulletin. 1975;82(5):738–783. doi: 10.1037/h0077132.
    1. Barnard J, Frangakis CE, Hill JL, Rubin DB. Principal stratification approach to broken randomized experiments: a case study of school choice vouchers in New York City. Journal of the American Statistical Association. 2003;98:299–311. doi: 10.1198/016214503000071.
    1. Brecht ML, Greenwell L, Anglin MD. Methamphetamine treatment: trends and predictors of retention and completion in a large state treatment system (1992–2002) Journal of Substance Abuse Treatment. 2005;29:295–306. doi: 10.1016/j.jsat.2005.08.012.
    1. Brocato JO, Wagner EF. Predictors of retention in an alternative-to-prison substance abuse treatment program. Criminal Justice and Behavior. 2008;35(1):99–119. doi: 10.1177/0093854807309429.
    1. Coviello DM, Zanis DA, Wesnoski SA, Alterman AI. The effectiveness of outreach case management in re-enrolling discharged methadone patients. Drug and Alcohol Dependence. 2006;85:56–65. doi: 10.1016/j.drugalcdep.2006.03.009.
    1. Cox GB, Walker RD, Freng SA, Short BA, Meijer L, Gilchrist L. Outcome of a controlled trial of the effectiveness of intensive case management for chronic inebriates. Journal of Studies on Alcohol. 1998;59(5):523–532.
    1. De Weert-Van Oene GH, Schippersb GM, De Jong CAJ, Schrijvers GJP. Retention in substance dependence treatment: the relevance of in-treatment factors. Journal of Substance Abuse Treatment. 2001;20:253–261. doi: 10.1016/S0740-5472(01)00160-X.
    1. Gartin PR. Dealing with design failures in randomized field experiments: analytic issues regarding the evaluation of treatment effects. Journal of Research in Crime and Delinquency. 1995;32(4):425–445. doi: 10.1177/0022427895032004003.
    1. Greene WH. Econometric analysis. Englewood Cliffs, NJ: Prentice Hall; 1993.
    1. Hall J, Vaughan-Sarrazin M, Vaughn T, Block R, Schut A. Iowa case management for rural drug abuse: preliminary results. Journal of Case Management. 1999;1(4):232–243.
    1. Hall E, Prendergast M, Wellisch J, Patten M, Cao Y. Treating drug-abusing women prisoners: an outcomes evaluation of the Forever Free Program. Prison Journal. 2004;84(1):81–105. doi: 10.1177/0032885503262456.
    1. Hawkins EJ, Baer JS, Kivlahan DR. Concurrent monitoring of psychological distress and satisfaction measures as predictors of addiction treatment retention. Journal of Substance Abuse Treatment. 2008;35:207–216. doi: 10.1016/j.jsat.2007.10.001.
    1. Hiller ML, Knight K, Broome DM, Simpson DD. Legal pressure and treatment retention in a national sample of long-term residential programs. Criminal Justice and Behavior. 1998;25(4):463–481. doi: 10.1177/0093854898025004004.
    1. Hser Y-I, Joshi V, Maglione M, Chou C-P, Anglin MD. Effects of program and patient characteristics on retention of drug treatment patients. Evaluation and Program Planning. 2001;24(4):331–341. doi: 10.1016/S0149-7189(01)00027-1.
    1. Hubbard RL, Collins JJ, Rachal JV, Cavanaugh ER. The criminal justice client in drug misuse treatment. In: Leukefeld CG, Tims FM, editors. Compulsory treatment of drug abuse: research and clinical practice (NIDA research monograph 86) Washington, DC: U. S. Government Printing Office; 1988. pp. 57–80.
    1. Huber DL, Hall JA, Vaughn T. The dose of case management interventions. Lippincott’s Case Management. 2001;6(3):119–126. doi: 10.1097/00129234-200105000-00006.
    1. Huber DL, Sarrazin MV, Vaughn T, Hall JA. Evaluating the impact of case management dosage. Nursing Research. 2003;52(5):276–288. doi: 10.1097/00006199-200309000-00002.
    1. SAS Institute (2006). The GLIMMIX Procedure, June 2006. Downloaded from , May 5, 2008.
    1. Jansson LM, Svikis DS, Breon D, Cieslak R. Intensity of case management services: does more equal better for drug-dependent women and their children? Social Work in Mental Health. 2005;3(4):63–78. doi: 10.1300/J200v03n04_04.
    1. Jones BL, Nagin DS. Advances in group-based trajectory modeling and an SAS procedure for estimating them. Sociological Methods Research. 2007;35(4):542–571. doi: 10.1177/0049124106292364.
    1. Justus AN, Burling TA, Weingardt KR. Client predictors of treatment retention and completion in a program for homeless veterans. Substance Use & Misuse. 2006;41:751–762. doi: 10.1080/10826080500411353.
    1. King AC, Canada SA. Client-related predictors of early treatment drop-out in a substance abuse clinic exclusively employing individual therapy. Journal of Substance Abuse Treatment. 2004;26(3):189–195. doi: 10.1016/S0740-5472(03)00210-1.
    1. Knight K, Simpson DD, Hiller ML. Three-year reincarceration outcomes for in-prison therapeutic community treatment in Texas. Prison Journal. 1999;79(3):337–351. doi: 10.1177/0032885599079003004.
    1. Lang MA, Belenko S. Predicting retention in a residential drug treatment alternative to prison program. Journal of Substance Abuse Treatment. 2000;19:145–160. doi: 10.1016/S0740-5472(00)00097-0.
    1. Lefforge NL, Donohue B, Strada MJ. Improving session attendance in mental health and substance abuse settings: a review of controlled studies. Behavior Therapy. 2007;38(1):1–22. doi: 10.1016/j.beth.2006.02.009.
    1. Lidz V, Bux DA, Platt JJ, Iguchi MY. Transitional case management: a service model for AIDS outreach projects. In: Ashery RA, editor. Progress and issues in case management (NIDA Research Monograph 127) Rockville, MD: National Institute on Drug Abuse; 1992. pp. 112–144.
    1. Little RJ, Yau LHY. Statistical techniques for analyzing data from prevention trials: treatment of no-shows using Rubin’s causal model. Psychological Methods. 1998;3(2):147–159. doi: 10.1037/1082-989X.3.2.147.
    1. Longshore DL, Turner S, Fain T. Effects of case management of parolee misconduct: The Bay Area Services Network. Criminal Justice and Behavior. 2005;32(2):205–222. doi: 10.1177/0093854804272891.
    1. Martin SS, Butzin CA, Saum CA, Inciardi JA. Three-year outcomes of therapeutic community treatment for drug-involved offenders in Delaware: from prison to work release to aftercare. Prison Journal. 1999;79(3):294–320. doi: 10.1177/0032885599079003002.
    1. Mateyoke-Scrivner A, Webster JW, Staton M, Leukefeld C. Treatment retention predictors of drug court participants in a rural state. American Journal of Drug and Alcohol Abuse. 2004;30(3):605–625. doi: 10.1081/ADA-200032304.
    1. Mattson ME, Del Boca FK, Carroll KM, Cooney NL, DiClemente CC, et al. Compliance with treatment and follow-up protocols in project MATCH: predictors and relationship to outcome. Alcoholism: Clinical and Experimental Research. 1998;22(6):1328–1339.
    1. McCaul ME, Svikis DS, Moore RD. Predictors of outpatient treatment retention: patient versus substance use characteristics. Drug and Alcohol Dependence. 2001;62(1):9–17. doi: 10.1016/S0376-8716(00)00155-1.
    1. McCoy HV, Dodds S, Rivers JE, McCoy CB. Case management services for HIV-seropositive IDUs. In: Ashery RA, editor. Progress and issues in case management (NIDA Research Monograph 127) Rockville, MD: National Institute on Drug Abuse; 1992. pp. 181–207.
    1. McGuire J, Bilby CAL, Hatcher RM, Hollin CR, Hounsome J, Palmer EJ. Evaluation of structured cognitive behavioural treatment programmes in reducing criminal recidivism. Journal of Experimental Criminology. 2008;4(1):21–40. doi: 10.1007/s11292-007-9047-8.
    1. McLellan AT, Lewis DC, O’Brien CP, Kleber HD. Drug dependence, a chronic medical illness: implications for treatment, insurance, and outcomes evaluation. Journal of the American Medical Association. 2000;284(13):689–1695. doi: 10.1001/jama.284.13.1689.
    1. Moher D, Schulz K, Altman D. The CONSORT Statement: revised recommendations for improving the quality of reports of parallel-group randomized trials. Journal of the American Medical Association. 2001;285(15):1987–1991. doi: 10.1001/jama.285.15.1987.
    1. Nagin DS. Analyzing developmental trajectories: a semi-parametric, group-based approach. Psychological Methods. 1999;4:139–157. doi: 10.1037/1082-989X.4.2.139.
    1. Nagin DS, Land KC. Age, criminal careers, and population heterogeneity: specification and estimation of a nonparametric, mixed Poisson model. Criminology. 1993;31:327–362. doi: 10.1111/j.1745-9125.1993.tb01133.x.
    1. National Institute on Drug Abuse . Principles of drug abuse treatment for criminal justice populations: a research-based guide. Bethesda, MD: National Institute on Drug Abuse, National Institutes of Health; 2006.
    1. Prendergast M, Cartier J. Improving parolees’ participation in drug treatment and other services through strengths case management. Perspectives. 2008;32(1):38–46.
    1. Prendergast, M., Farabee, D., & Cartier, J. (2005). Eighth annual report on the evaluation of the California Substance Abuse Treatment Facility (SATF-SAP) and State Prison at Corcoran. Submitted to the Office of Substance Abuse Programs, California Department of Corrections and Rehabilitation. Los Angeles: University of California, Los Angeles, Integrated Substance Abuse Programs.
    1. Pulford J, Wheeler A. Documenting clinic attendance norms: raw data and implications for treatment practice. Journal of Substance Abuse. 2007;12(2):95–102.
    1. Sacks S, McKendrick K, Sacks JY, Banks S, Harle M. Enhanced outpatient treatment for co-occurring disorders: main outcomes. Journal of Substance Abuse Treatment. 2008;34(1):48–60. doi: 10.1016/j.jsat.2007.01.009.
    1. Siegal H, Rapp R, editors. Case management and substance abuse treatment: practice and experience. New York: Springer; 1996.
    1. Siegal H, Rapp R, Fisher J, Cole P, Wagner J. Treatment dropouts and noncompliers: two persistent problems and a programmatic remedy. In: Inciardi J, Tims F, Fletcher B, editors. Innovative approaches in the treatment of drug abuse: program models and strategies. Westport, CT: Greenwood Press; 1993. pp. 87–96.
    1. Simpson DD, Joe GW. Motivation as a predictor of early dropout from drug abuse treatment. Psychotherapy. 1993;30:357–368.
    1. Simpson DD, Joe GW, Brown BS. Treatment retention and follow-up outcomes in the Drug Abuse Treatment Outcome Study (DATOS) Psychology of Addictive Behaviors. 1997a;11(4):294–307. doi: 10.1037/0893-164X.11.4.294.
    1. Simpson, D. D., Knight, K., & Broome, K. M. (1997b). TCU/CJ forms manual: drug dependence screen and initial assessment. Fort Worth, TX: Texas Christian University, Institute of Behavioral Research. Forms available from Internet website at .
    1. Singer JD. Using SAS PROC MIXED to fit multilevel models, hierarchical models, and individual growth models. Journal of Educational and Behavioral Statistics. 1998;23(4):323–355.
    1. Siqueland L, Crits-Christoph P, Gallop R, Barber JP, Griffin ML, et al. Retention in psychosocial treatment of cocaine dependence: predictors and impact on outcome. American Journal on Addictions. 2002;11(1):24–40. doi: 10.1080/10550490252801611.
    1. Sterling RC, Gottheil E, Weinstein SP, Serota R. Therapist/patient race and sex matching: treatment retention and 9-month follow-up outcome. Addiction. 2002;93(7):1043–1050. doi: 10.1046/j.1360-0443.1998.93710439.x.
    1. Stotts AL, Mooney ME, Sayre SL, Novy M, Schmitz JM, Grabowski J. Illusory predictors: generalizability of findings in cocaine treatment retention research. Addictive Behaviors. 2007;32:2819–2836. doi: 10.1016/j.addbeh.2007.04.020.
    1. Sung H-E, Belenko S, Feng L, Tabachnick C. Predicting treatment noncompliance among criminal justice-mandated clients: a theoretical and empirical exploration. Journal of Substance Abuse Treatment. 2004;26(1):13–26. doi: 10.1016/S0740-5472(03)00144-2.
    1. Ventura LA, Cassel CA, Jacoby JE, Huang B. Case management and recidivism of mentally ill persons released from jail. Psychiatric Services. 1998;49(10):1330–1337.
    1. Wexler HK, Melnick G, Lowe L, Peters J. Three-year reincarceration outcomes for Amity in-prison therapeutic community and aftercare in California. Prison Journal. 1999;79(3):312–336. doi: 10.1177/0032885599079003003.

Source: PubMed

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