Matching Clients to Alcohol Treatments Using 16 Client Characteristics Simultaneously: A Cluster Analytic Approach with Research and Clinical Implications

W. Zywiak, Son Nguyen
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Abstract

Project MATCH sought to identify client characteristics that could be used to select treatments for specific clients to increase the effectiveness of psychosocial treatments. Results based on examining matching variables one at a time were deemed disappointing by the Project MATCH investigators. In this secondary data analysis, we present analyses examining 16 matching variables simultaneously through cluster analysis in the outpatient arm. While null results were found for the first cluster (n = 380), there was a longer time to first drink for members of the second cluster (n = 275) receiving Twelve Step Facilitation (TSF) compared to clients receiving cognitive behavioral therapy or Motivational Enhancement Therapy (MET). For the third cluster (n = 297) clients had a longer time to first drink if receiving cognitive behavioral therapy or TSF compared to MET. Additional analyses show that these cluster assignments can be adequately approximated by using nine of the 16 matching variables. It is hoped that these results rekindle interest in the benefits of client-treatment matching.
同时使用16个客户特征匹配客户与酒精治疗:具有研究和临床意义的聚类分析方法
MATCH项目旨在确定可用于为特定客户选择治疗方法的客户特征,以提高心理社会治疗的有效性。基于一次检查一个匹配变量的结果被项目MATCH调查人员认为是令人失望的。在这次要的数据分析,我们提出分析检查16匹配变量同时通过聚类分析在门诊部门。虽然在第一组(n = 380)中发现无效结果,但与接受认知行为治疗或动机增强治疗(MET)的客户相比,接受十二步促进(TSF)的第二组(n = 275)的成员第一次喝酒的时间更长。在第三组(n = 297)中,与MET相比,接受认知行为疗法或TSF的患者第一次喝酒的时间更长。额外的分析表明,这些集群分配可以通过使用16个匹配变量中的9个来充分近似。希望这些结果能重新激起人们对客户-治疗匹配益处的兴趣。
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