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Volume 36, Issue 3, Pages 247-255 (March 2009)


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Curbing Problem Drinking with Personalized-Feedback Interventions: A Meta-Analysis

Heleen Riper, PhD, MScabCorresponding Author Informationemail address, Annemieke van Straten, PhDb, Max Keuken, BScd, Filip Smit, PhDab, Gerard Schippers, PhDc, Pim Cuijpers, PhDb

Context

The effectiveness of personalized-feedback interventions to reduce problem drinking has been evaluated in several RCTs and systematic reviews. A meta-analysis was performed to examine the overall effectiveness of brief, single-session personalized-feedback interventions without therapeutic guidance.

Evidence acquisition

The selection and analyses of studies were conducted in 2008. Fourteen RCTs of single-session personalized-feedback interventions without therapeutic guidance were identified, and their combined effectiveness on the reduction of problematic alcohol consumption was evaluated in a meta-analysis. Alcohol consumption was the primary outcome measure.

Evidence synthesis

The pooled standardized-effect size (14 studies, 15 comparisons) for reduced alcohol consumption at post-intervention was d=0.22 (95% CI=0.16, 0.29; the number needed to treat=8.06; areas under the curve=0.562). No heterogeneity existed among the studies (Q=10.962; p=0.69; I2=0).

Conclusions

The use of single-session personalized-feedback interventions without therapeutic guidance appears to be a viable and probably cost-effective option for reducing problem drinking in student and general populations. The Internet offers ample opportunities to deliver personalized-feedback interventions on a broad scale, and problem drinkers are known to be amenable to Internet-based interventions. More research is needed on the long-term effectiveness of personalized-feedback interventions for problem drinking, on its potential as a first step in a stepped-care approach, and on its effectiveness with other groups (such as youth obliged to use judicial service programs because of violations of minimum-age drinking laws) and in other settings (such as primary care).

a Innovation Centre of Mental Health and Technology, Trimbos Institute (Netherlands Institute of Mental Health and Addiction), Utrecht, The Netherlands

b Department of Clinical Psychology and Institute for Research in Extramural Medicine (EMGO) Institute, Vrije Universiteit, Amsterdam, The Netherlands

c Amsterdam Medical Centre, University of Amsterdam, Amsterdam, The Netherlands

d Cognitive Science, Institute for Interdisciplinary Studies, University of Amsterdam, Amsterdam, The Netherlands

Corresponding Author InformationAddress correspondence and reprint requests to: Heleen Riper, PhD, MSc, Trimbos Institute, P.O. Box 725, 3500 AS Utrecht, The Netherlands

 The full text of this article is available via AJPM Online at www.ajpm-online.net; 1 unit of Category-1 CME credit is also available, with details on the website.

PII: S0749-3797(08)00968-9

doi:10.1016/j.amepre.2008.10.016


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