A Counseling Program for Clients in Substitution Treatment: Effects and Dropout Prediction
Author(s) -
C. Dennis Boywitt,
Christian Zwingmann
Publication year - 2012
Publication title -
isrn rehabilitation
Language(s) - English
Resource type - Journals
eISSN - 2090-6137
pISSN - 2090-6129
DOI - 10.5402/2012/290764
Subject(s) - psychosocial , substance abuse , logistic regression , psychological intervention , dropout (neural networks) , clinical psychology , psychology , medicine , psychiatry , machine learning , computer science
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.
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