107
views
0
recommends
+1 Recommend
0 collections
    9
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Online Alcohol Interventions: A Systematic Review

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          There has been a significant increase in the availability of online programs for alcohol problems. A systematic review of the research evidence underpinning these programs is timely.

          Objectives

          Our objective was to review the efficacy of online interventions for alcohol misuse. Systematic searches of Medline, PsycINFO, Web of Science, and Scopus were conducted for English abstracts (excluding dissertations) published from 1998 onward. Search terms were: (1) Internet, Web*; (2) online, computer*; (3) alcohol*; and (4) E\effect*, trial*, random* (where * denotes a wildcard). Forward and backward searches from identified papers were also conducted. Articles were included if (1) the primary intervention was delivered and accessed via the Internet, (2) the intervention focused on moderating or stopping alcohol consumption, and (3) the study was a randomized controlled trial of an alcohol-related screen, assessment, or intervention.

          Results

          The literature search initially yielded 31 randomized controlled trials (RCTs), 17 of which met inclusion criteria. Of these 17 studies, 12 (70.6%) were conducted with university students, and 11 (64.7%) specifically focused on at-risk, heavy, or binge drinkers. Sample sizes ranged from 40 to 3216 (median 261), with 12 (70.6%) studies predominantly involving brief personalized feedback interventions. Using published data, effect sizes could be extracted from 8 of the 17 studies. In relation to alcohol units per week or month and based on 5 RCTs where a measure of alcohol units per week or month could be extracted, differential effect sizes to posttreatment ranged from 0.02 to 0.81 (mean 0.42, median 0.54). Pre-post effect sizes for brief personalized feedback interventions ranged from 0.02 to 0.81, and in 2 multi-session modularized interventions, a pre-post effect size of 0.56 was obtained in both. Pre-post differential effect sizes for peak blood alcohol concentrations (BAC) ranged from 0.22 to 0.88, with a mean effect size of 0.66.

          Conclusions

          The available evidence suggests that users can benefit from online alcohol interventions and that this approach could be particularly useful for groups less likely to access traditional alcohol-related services, such as women, young people, and at-risk users. However, caution should be exercised given the limited number of studies allowing extraction of effect sizes, the heterogeneity of outcome measures and follow-up periods, and the large proportion of student-based studies. More extensive RCTs in community samples are required to better understand the efficacy of specific online alcohol approaches, program dosage, the additive effect of telephone or face-to-face interventions, and effective strategies for their dissemination and marketing.

          Related collections

          Most cited references36

          • Record: found
          • Abstract: not found
          • Book Chapter: not found

          Chi-Square Tests for Goodness of Fit and Contingency Tables

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Alcohol as a Risk Factor for Global Burden of Disease

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Computerized behavior therapy for opioid-dependent outpatients: a randomized controlled trial.

              The authors evaluated the efficacy of an interactive, computer-based behavioral therapy intervention, grounded in the community reinforcement approach (CRA) plus voucher-based contingency management model of behavior therapy. Our randomized, controlled trial was conducted at a university-based research clinic. Participants comprised 135 volunteer adult outpatients who met DSM-IV criteria for opioid dependence. All participants received maintenance treatment with buprenorphine and were randomly assigned to one of three treatments: (a) therapist-delivered CRA treatment with vouchers, (b) computer-assisted CRA treatment with vouchers, or (c) standard treatment. The therapist-delivered and computer-assisted CRA plus vouchers interventions produced comparable weeks of continuous opioid and cocaine abstinence (M = 7.98 and 7.78, respectively) and significantly greater weeks of abstinence than the standard intervention (M = 4.69; p < .05), yet participants in the computer-assisted CRA condition had over 80% of their intervention delivered by an interactive computer program. The comparable efficacy obtained with computer-assisted and therapist-delivered therapy may enable more widespread dissemination of the evidence-based CRA plus vouchers intervention in a manner that is cost-effective and ensures treatment fidelity.
                Bookmark

                Author and article information

                Contributors
                Journal
                J Med Internet Res
                JMIR
                Journal of Medical Internet Research
                Gunther Eysenbach (Centre for Global eHealth Innovation, Toronto, Canada )
                1438-8871
                Oct-Dec 2010
                19 December 2010
                : 12
                : 5
                : e62
                Affiliations
                [7] 7simpleSchool of Advertising, Marketing and Public Relations simpleFaculty of Business simpleQueensland University of Technology QueenslandAustralia
                [6] 6simpleBlackDog Institute simpleSchool of Psychiatry simpleUniversity of New South Wales SydneyAustralia
                [5] 5simpleCentre for Brain and Mental Health Research simpleFaculty of Health simpleUniversity of Newcastle NewcastleAustralia
                [4] 4simpleNational Drug and Alcohol Research Centre simpleUniversity of New South Wales SydneyAustralia
                [3] 3simpleNational eTherapy Centre simpleFaculty of Life and Social Sciences simpleSwinburne University MelbourneAustralia
                [2] 2simpleInstitute of Health & Biomedical Innovation and School of Psychology & Counselling simpleQueensland University of Technology BrisbaneAustralia
                [1] 1simpleCentre for Youth Substance Abuse Research simpleFaculty of Health Sciences simpleThe University of Queensland QueenslandAustralia
                Article
                v12i5e62
                10.2196/jmir.1479
                3057310
                21169175
                496c5d68-4772-4b9a-bca2-420bb026207c
                ©Angela White, David Kavanagh, Helen Stallman, Britt Klein, Frances Kay-Lambkin, Judy Proudfoot, Judy Drennan, Jason Connor, Amanda Baker, Emily Hines, Ross Young. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 19.12.2010  

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.

                History
                : 15 January 2010
                : 09 February 2010
                : 16 July 2010
                : 17 July 2010
                Categories
                Review

                Medicine
                alcohol,drugs,internet,physical health,website interactivity,online treatment,online information
                Medicine
                alcohol, drugs, internet, physical health, website interactivity, online treatment, online information

                Comments

                Comment on this article