Cited by 370Substance Abuse Treatment and OutcomesPsychotherapy Techniques and ApplicationsAlcohol Consumption and Health Effects

Patient predictors of alcohol treatment outcome: A systematic review

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Adamson, Simon J., Sellman, John Douglas, Frampton, Chris M.A.·2009·Journal of Substance Abuse Treatment

Abstract

Patient characteristics as predictors of alcohol use disorder treatment outcome were examined on three levels, identifying whether or not variables were significant predictors of drinking-related outcome in univariate analysis, in multivariate analysis, and in multivariate analyses limited to studies including several "key predictors." Also, a model was developed to predict total percentage of variance in treatment outcome accounted for in each study using each of the key predictors and a range of methodological factors. The most consistent univariate predictors were baseline alcohol consumption, dependence severity, employment, gender, psychopathology rating, treatment history, neuropsychological functioning, alcohol-related self-efficacy, motivation, socioeconomic status/income, treatment goal, and religion. When these key predictors were combined into multivariate analyses, baseline alcohol consumption and gender showed substantial reductions in predictive consistency whereas the remaining variables were not greatly affected. The most consistent predictors overall were dependence severity, psychopathology ratings, alcohol-related self-efficacy, motivation, and treatment goal. The two predictor variables most associated with greater variance accounted for in predictive models, when controlling for broader methodological variables, were baseline alcohol consumption and dependence severity. Few predictor variables were examined in more than a third of studies reviewed, and few variables were found to be significant predictors in a clear majority of studies. However, a subset of variables was identified, which collectively could be considered to represent a consistent set of predictors. Too few studies controlled for other important predictor variables. Attempts to synthesize findings were often hampered by lack of agreement of the best measure for predictor variables.

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Crossref · 10.1016/j.jsat.2008.05.007

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  • Identification of client characteristics predictive of successful treatment outcomes can potentially improve efficacy by tailoring interventions to meet individual needs.

    “The identification of client characteristics that are predictive of successful treatment outcomes can potentially improve the efficacy of treatment by tailoring interventions to meet individual needs (Adamson, Sellman, & Frampton, 2009;Barnicot et al., 2012;Daughters, Lejuez, Lesieur, Strong, & Zvolensky, 2003).”
  • A better understanding of variables that predict successful treatment outcomes would allow for more accurate prognoses.

    “A better understanding of the variables that predict successful treatment outcomes would also allow for more accurate prognoses (Adamson et al., 2009).”

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  1. McMahon, J., & Jones, B. T. (1993). The Negative Alcohol Expectancy Questionnaire. Journal of the Association of Nurses in Substance Abuse, 12, 17.

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Authors
Adamson, S. J., Sellman, J. D., & Frampton, C. M. A.
Affiliations
University of Otago (NZ)
Corresponding author
Adamson, Simon J.
Venue
Journal of Substance Abuse Treatment
Publisher
Elsevier BV
Published
2009-01
Volume
36
Issue
1
Pages
75-86
ISSN
0740-5472 (ISSN-L)
OpenAlex
W2011221954
Cited by
370
References
91
Citations by year
2026: 12 · 2025: 27 · 2024: 14 · 2023: 15 · 2022: 24 · 2021: 25 · 2020: 21 · 2019: 27 · 2018: 30 · 2017: 17 · 2016: 20 · 2015: 22 · 2014: 35 · 2013: 19 · 2012: 18
FWCI
1.56
Type
journal article
Language
en
Open access
Locations
  • Journal of Substance Abuse Treatment (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
  • Social Sciences › Psychology › Clinical Psychology › Psychotherapy Techniques and Applications
  • Health Sciences › Medicine › Pathology and Forensic Medicine › Alcohol Consumption and Health Effects
Keywords
alcoholism, alcohol treatment outcomes, predictors of treatment outcome, dependence severity, motivation, psychopathology, gender differences, treatment goals
MeSH terms
Alcohol Drinking, Alcoholism, Female, Forecasting, Humans, Male, Motivation, Psychiatric Status Rating Scales, Severity of Illness Index, Sex Factors, Social Class, Models, Statistical, Multivariate Analysis, Treatment Outcome, Self Efficacy

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