The DOI matches its Crossref record; 80 of the 82 references it cites were found in a registry or an index.
Can stand‐alone computer‐based interventions reduce alcohol consumption? A systematic review
Abstract
Aim To determine the effects of computer‐based interventions aimed at reducing alcohol consumption in adult populations. Methods The review was undertaken following standard Cochrane and Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) guidance for systematic reviews. The literature was searched until December 2008, with no restrictions on language. Randomized trials with parallel comparator groups were identified in the form of published and unpublished data. Two authors independently screened abstracts and papers for inclusion. Data extraction and bias assessment was undertaken by one author and checked by a second author. Studies that measured total alcohol consumption and frequency of binge drinking episodes were eligible for inclusion in meta‐analyses. A random‐effects model was used to pool mean differences. Results Twenty‐four studies were included in the review (19 combined in meta‐analyses). The meta‐analyses suggested that computer‐based interventions were more effective than minimally active comparator groups (e.g. assessment‐only) at reducing alcohol consumed per week in student and non‐student populations. However, most studies used the mean to summarize skewed data, which could be misleading in small samples. A sensitivity analysis of those studies that used suitable measures of central tendency found that there was no difference between intervention and minimally active comparator groups in alcohol consumed per week by students. Few studies investigated non‐student populations or compared interventions with active comparator groups. Conclusion Computer‐based interventions may reduce alcohol consumption compared with assessment‐only; the conclusion remains tentative because of methodological weaknesses in the studies. Future research should consider that the distribution of alcohol consumption data is likely to be skewed and that appropriate measures of central tendency are reported.
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“Hence, the positive findings of that numerous systematic reviews and meta-analyses of the effects of Web-based interventions for specific behaviors including smoking cessation [36], reducing alcohol consumption [37], safer sexual behaviors [34], and increasing physical activity [38] are reassuring even if the effect sizes tend to be small.”
From Web-Based Interventions for Behavior Change and Self-Management: Potential, Pitfalls, and Progress (2012) · cites this paper as [37]
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Evaluating Digital Health Interventions
Murray, E., Hekler, E. B., Andersson, G., Collins, L. M., Doherty, A., Hollis, C., Rivera, D. E., West, R., & Wyatt, J. C. (2016) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2016.06.008 · Cited by 847
Self-citationDavies, E. B., Morriss, R., & Glazebrook, C. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3142 · Cited by 499
“Skewed data has been reported previously in a review of computer-delivered interventions for reducing alcohol consumption [68].”
BackgroundKaner, E. F., Beyer, F. R., Garnett, C., Crane, D., Brown, J., Muirhead, C., Redmore, J., O'Donnell, A., Newham, J. J., de Vocht, F., et al. (2017) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd011479.pub2 · Cited by 308
Riper, H. M., Hoogendoorn, A. W., Cuijpers, P. J., Karyotaki, E., Boumparis, N., Mira, A., Andersson, G., Berman, A. H., Bertholet, N., Bischof, G., et al. (2018) · PLoS Medicine · doi:10.1371/journal.pmed.1002714 · Cited by 283
“Secondly, problem drinking actually embraces several different drinking profiles, and only a few iAI studies have investigated whether these might moderate treatment outcomes [17].”
Self-citationThe Effectiveness of Prompts to Promote Engagement With Digital Interventions: A Systematic Review
Alkhaldi, G., Hamilton, F. L., Lau, R., Webster, R., Michie, S., & Murray, E. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.4790 · Cited by 273
“The literature suggests that they can improve health behaviors and health outcomes [1-10]; however, systematic reviews of the effectiveness of DIs tend to report small effect sizes with a substantial level of heterogeneity [2,4,6,7,9].”
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Metadata
- Authors
- Khadjesari, Z., Murray, E., Hewitt, C., Hartley, S., & Godfrey, C.
- Affiliations
- The Royal Free Hospital (GB)
- University of York (GB)
- University of Leeds (GB)
- Corresponding author
- Khadjesari, Zarnie
- Venue
- Addiction
- Publisher
- Wiley
- Published
- 2010-11-18
- Volume
- 106
- Issue
- 2
- Pages
- 267-282
- ISSN
- 0965-2140 (ISSN-L)
- 1360-0443
- OpenAlex
- W2113395701
- Semantic Scholar
- 141821c568f8383314be031bffa8a5e8809e9729
- Cited by
- 208
- References
- 82
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 4 · 2023: 9 · 2022: 6 · 2021: 13 · 2020: 10 · 2019: 11 · 2018: 18 · 2017: 20 · 2016: 17 · 2015: 28 · 2014: 21 · 2013: 16 · 2012: 24
- FWCI
- 1.70
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Addiction (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Research Portal (King's College London) (submittedVersion)
- UEA Digital Repository (University of East Anglia) (submittedVersion)
- Topics
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Medicine › Pathology and Forensic Medicine › Alcohol Consumption and Health Effects
- Keywords
- computer-based intervention, alcohol consumption, binge drinking, alcohol consumption reduction, students, adults, skewed data, measures of central tendency, digital health interventions
- MeSH terms
- Adolescent, Adult, Alcohol Drinking, Ethanol, Alcoholic Beverages, Data Interpretation, Statistical, Female, Humans, Male, Psychotherapy, Brief, Research Design, Students, Therapy, Computer-Assisted, Bias, Randomized Controlled Trials as Topic, Treatment Outcome
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