Literature DB >> 15000515

Searching for treatment outcome measures for use across trials.

Ronald M Kadden1, Mark D Litt.   

Abstract

OBJECTIVE: Inconsistencies in outcome measures across studies of treatment efficacy have made comparisons among them difficult. As a result, there is interest in identifying one or more measures that might be recommended as universal indicators of outcome. The present article seeks to identify drinking, psychosocial and/or biological variables that could be candidates for use as universal indicators of change following alcoholism treatment.
METHOD: The primary data set included 128 alcohol-dependent men and women who were randomly assigned to cognitive-behavioral or interactional group treatment for 26 weekly sessions.
RESULTS: The greatest changes following treatment were seen in measures of drinking and drinking consequences. Correlational analyses indicated that changes from baseline in drinking consequences were significantly associated with changes in drinking. Psychosocial and biological indicators showed much smaller changes from baseline, and these were only weakly associated with changes in drinking, indicating that they are not sensitive measures of treatment-related change. The overall pattern of these findings was replicated in the Project MATCH data set.
CONCLUSIONS: It was concluded that drinking frequency and intensity measures, as well as a measure of drinking consequences, may be useful as universal indicators of alcohol treatment outcome, but that the other psychosocial and biological measures studied in these two data sets are not strong candidates for this purpose.

Entities:  

Mesh:

Year:  2004        PMID: 15000515     DOI: 10.15288/jsa.2004.65.145

Source DB:  PubMed          Journal:  J Stud Alcohol        ISSN: 0096-882X


  4 in total

1.  Primary outcomes in two randomized controlled trials of treatments for cannabis use disorders.

Authors:  Erica N Peters; Charla Nich; Kathleen M Carroll
Journal:  Drug Alcohol Depend       Date:  2011-05-28       Impact factor: 4.492

2.  Ten take home lessons from the first 10 years of the CTN and 10 recommendations for the future.

Authors:  Kathleen M Carroll; Samuel A Ball; Ron Jackson; Steve Martino; Nancy M Petry; Maxine L Stitzer; Elizabeth A Wells; Roger D Weiss
Journal:  Am J Drug Alcohol Abuse       Date:  2011-09       Impact factor: 3.829

3.  ANALYSIS OF ROLLING GROUP THERAPY DATA USING CONDITIONALLY AUTOREGRESSIVE PRIORS.

Authors:  Susan M Paddock; Sarah B Hunter; Katherine E Watkins; Daniel F McCaffrey
Journal:  Ann Appl Stat       Date:  2011-06       Impact factor: 2.083

4.  The Relationship Between End-of-Treatment Alcohol Use and Subsequent Healthcare Costs: Do Heavy Drinking Days Predict Higher Healthcare Costs?

Authors:  Arnie P Aldridge; Gary A Zarkin; William N Dowd; Jeremy W Bray
Journal:  Alcohol Clin Exp Res       Date:  2016-05       Impact factor: 3.928

  4 in total

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