Online alcohol interventions : a systematic review
White, Angela, Kavanagh, David J., Stallman, Helen M., Klein, Britt, Kay-Lambkin, Frances, Proudfoot, Judy, Drennan, Judy, Connor, Jason, Baker, Amanda, Hines, Emily, & Young, Ross McD. (2010) Online alcohol interventions : a systematic review. Journal of Medical Internet Research, 12(5), Article number-e62.
- 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.
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.
- 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 post treatment 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.
- 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.
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|Item Type:||Journal Article|
|Keywords:||Alcohol, Drugs, Internet, Physical Health, Website Interactivity, Online Treatment, Online Information|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)
Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > PUBLIC HEALTH AND HEALTH SERVICES (111700)
Australian and New Zealand Standard Research Classification > PSYCHOLOGY AND COGNITIVE SCIENCES (170000) > PSYCHOLOGY (170100) > Health Clinical and Counselling Psychology (170106)
|Divisions:||Current > QUT Faculties and Divisions > QUT Business School
Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Current > Schools > School of Advertising, Marketing & Public Relations
Current > Schools > School of Psychology & Counselling
|Copyright Owner:||Copyright 2010 The authors.|
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.
|Deposited On:||01 Mar 2011 09:13|
|Last Modified:||30 Nov 2016 02:38|
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