Table of Contents
ISRN Rehabilitation
Volume 2012 (2012), Article ID 290764, 5 pages
http://dx.doi.org/10.5402/2012/290764
Research Article

A Counseling Program for Clients in Substitution Treatment: Effects and Dropout Prediction

1Department of Psychology, University of Mannheim, 68131 Mannheim, Germany
2Department of Social Work, Education, and Diaconia, The Protestant University of Applied Sciences Rhineland-Westphalia-Lippe, Immanuel-Kant-Straβe 18–20, 44803 Bochum, Germany
3Department of Health, Social, and Family Issues, Prognos AG, Schwanenmarkt 21, 40213 Dusseldorf, Germany

Received 24 August 2012; Accepted 14 September 2012

Academic Editors: K. Hashimoto, M. Sharma, and J. J. Sosnoff

Copyright © 2012 C. Dennis Boywitt and Christian Zwingmann. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The present research reports the evaluation of a counseling program for substance abusers in outpatient substitution treatment. Clients were assessed at two time points to evaluate their development on various variables such as psychosocial functioning and substance abuse. Importantly, central outcome variables were assessed via self-reports and ratings by the primary counselor. Methodologically, the challenge was to estimate program impact without a control group as by German law any client in outpatient substitution treatment must be provided with psychosocial counseling. While results suggest that the program positively influences psychosocial functioning, the level of substance abuse did not significantly decrease during the course of the study (N = 101). Furthermore, because program dropout is a major problem in interventions for substance abusers, logistic regression analysis was employed to identify relevant preconditions which predict future program dropout (N = 172). Although several significant predictors were identified, they only provide a modest increase in prediction performance.