Abstract
Though human service literature often advocates matching clients with their most appropriate treatments, rarely are studies designed to specifically determine which client types benefit most from what treatments. The purpose of this sequence of three cumulative studies is to develop a classification of alcoholics that may help practitioners to match alcoholic types with their most appropriate intervention. The first study uses conceptual and empirical means to classify alcoholics into four types according to prognostic indicators. The second study evaluates inter-rater reliability for classifiers and seeks to replicate the classification's two dimensions at additional sites. The third quasi-experimental study, in still another location, evaluates the classification's validity among 137 subjects. These three cumulative studies span 12 years and involve subjects from 12 treatment facilities in three different Wisconsin-Minnesota regions.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 41-72 |
| Number of pages | 32 |
| Journal | Journal of Social Service Research |
| Volume | 17 |
| Issue number | 1-2 |
| DOIs | |
| State | Published - Jun 4 1993 |
Bibliographical note
Funding Information:The classification was developed with research funds of the Middleton Memorial VA Hospital. The classification's replication and reliability check were supported by the National Institute of Alcohol Abuse and Alcoholism Grant R01-AA-03316-02. The validity study was supported by the Chemical Dependency Division, Minnesota Department of Human Services, grant number 04291 and 04296. The authors acknowledge: Norman Hoffmann and Patricia Hamson of St. Paul Ramsey Hospital and the Medical Education and Research Foundation of St. Paul Ramsey Hospital in the Minneapolis-St. Paul Study; David Balsiger, of Joiner and Associates, Madison, Wisconsin; Mike Harwell, Pat Buss, Frank Baker, Mike Subkoviak, and Larry Hubert of the Laboratory of Experimental Design, Department of Educational Psychology, University of
Funding Information:
Wisconsin-Madison and Alison Pollack, Systems Applications, Inc., San Ra-fael, California. The work was also supported by the University of Wisconsin-Eau Claire Foundation and the UWEC Office of Graduate Studies and University Research.
Copyright:
Copyright 2016 Elsevier B.V., All rights reserved.