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Patient predictors of alcohol treatment outcome: A systematic review
Open accessAbstract
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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“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).”
From Predictors of outcomes of psychological treatments for disordered gambling: A systematic review (2016) · cites this paper as Adamson et al., 2009
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“A better understanding of the variables that predict successful treatment outcomes would also allow for more accurate prognoses (Adamson et al., 2009).”
From Predictors of outcomes of psychological treatments for disordered gambling: A systematic review (2016) · cites this paper as Adamson et al., 2009
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Cites
An Improved Diagnostic Evaluation Instrument for Substance Abuse Patients
McLellan, A. T., Luborsky, L. B., WOODY, G. E., & Brien, C. P. O. (1980) · The Journal of Nervous and Mental Disease · doi:10.1097/00005053-198001000-00006 · Cited by 3,163
Publication bias in clinical research
Easterbrook, P. J., Gopalan, R., Berlin, J. A., & Matthews, D. R. (1991) · The Lancet · doi:10.1016/0140-6736(91)90201-y · Cited by 3,109
Kraemer, H. C., Stice, E., Kazdin, A., Offord, D., & Kupfer, D. (2001) · American Journal of Psychiatry · doi:10.1176/appi.ajp.158.6.848 · Cited by 1,712
Clinical versus mechanical prediction: a meta-analysis
Grove, W. M., Zald, D. H., Lebow, B. S., Snitz, B. E., & Nelson, C. (2000) · Psychological Assessment · doi:10.1037/1040-3590.12.1.19 · Cited by 1,640
Child sexual abuse and subsequent psychopathology: results from the National Comorbidity Survey
Molnar, B. E., Buka, S. L., & Kessler, R. C. (2001) · American Journal of Public Health · doi:10.2105/ajph.91.5.753 · Cited by 1,193
Alcohol dependence syndrome: Measurement and validation.
Skinner, H. A., & Allen, B. A. (1982) · Journal of Abnormal Psychology · doi:10.1037//0021-843x.91.3.199 · Cited by 1,061
Expectations of reinforcement from alcohol: Their domain and relation to drinking patterns.
Brown, S. A., Goldman, M. S., Inn, A., & Anderson, L. R. (1980) · Journal of Consulting and Clinical Psychology · doi:10.1037//0022-006x.48.4.419 · Cited by 976
Predicting Response to Alcohol and Drug Abuse Treatments
McLellan, A. T. (1983) · Archives of General Psychiatry · doi:10.1001/archpsyc.1983.04390010030004 · Cited by 805
Alcohol dependence syndrome: Measurement and validation.
Skinner, H. A., & Allen, B. A. (1982) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.91.3.199 · Cited by 772
JOHNSON, C. F. (2004) · The Lancet · doi:10.1016/s0140-6736(04)16771-8 · Cited by 696
Research works printed but not linked: 1
- McMahon, 1993, The Negative Alcohol Expectancy Questionnaire, Journal of the Association of Nurses in Substance Abuse, 12, 17
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Adamson, S. J., KAY‐LAMBKIN, F. J., Baker, A., Lewin, T. J., Thornton, L. K., Kelly, B. J., & Sellman, J. D. (2010) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2010.02.017 · Cited by 1,026
Self-citationUnemployment and Substance Use: A Review of the Literature (1990-2010)
Henkel, D. (2011) · Current Drug Abuse Reviewse · doi:10.2174/1874473711104010004 · Cited by 590
Simultaneous versus concurrent use of alcohol and cannabis in the National Alcohol Survey
Subbaraman, M. S., & Kerr, W. C. (2015) · Alcoholism: Clinical and Experimental Research · doi:10.1111/acer.12698 · Cited by 434
The confounded self-efficacy construct: conceptual analysis and recommendations for future research
Williams, D. M., & Rhodes, R. E. (2014) · Health Psychology Review · doi:10.1080/17437199.2014.941998 · Cited by 420
The role of self-efficacy in the treatment of substance use disorders
Kadden, R. M., & Litt, M. D. (2011) · Addictive Behaviors · doi:10.1016/j.addbeh.2011.07.032 · Cited by 420
Metadata
- 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
- bronze
- doi.org
- 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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