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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 Randomized trials with parallel comparator groups were identified in the form of published and unpublished data.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.”
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“In terms of treatment, the existing evidence for eHealth shows promising results across multiple populations and demographics [22-26].”
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“Systematic reviews and meta-analyses of computer-delivered interventions have generally been positive [9-13], but most randomized controlled trials have studied computer literate young people with high rates of binge drinking [14], and most reviews have concluded there is a need for further research to establish the e…”
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“Alternatives to face-to-face SBI may include computerised interventions, with a recent systematic review finding some evidence that they are as effective in reducing alcohol consumption amongst adult hazardous and harmful drinkers as traditional face-to-face interventions [18].”
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“…alcohol misuse across settings (e.g., emergency departments, colleges) and delivery platforms (e.g., therapists, computers); however, effect sizes are modest, which limits public health impact (Carey et al., 2012; Foxcroft et al., 2014; Khadjesari et al., 2011; Tanner-Smith & Lipsey, 2015).”
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“Many previous studies have, however, evaluated computerised rather than online interventions, requiring participants to attend laboratories or similar settings [14,15,19].”
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“Several other studies have shown a decrease in weekly alcohol consumption [24-26], heavy drinking [25,27], or average alcohol consumption [28] after implementation of an electronic intervention.”
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“Having an active comparison group in which students participate in a non-alcohol-related education program would make for a more equivalent control condition (and fulfill a recommendation made by Khadjesari et al., 2011).”
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“Meta-analysis studies have found that e-SBIs effectively reduce the drinking frequency, number of binge drinking instances per week, and alcohol-related problems among students compared to the control group [29, 30] Yet, other studies have demonstrated inconsistent findings.”
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“Moreover, health programs delivered over the internet have been successful, as exemplified by web-based interventions to reduce smoking [7] and alcohol intake [8] and to improve sexual health [9], cancer screening [10], physical activity [11], and diet [12].”
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“There is some evidence that personalized feedback can modify behavior (for reviews see Bewick et al., 2008; Khadjesari, Murray, Hewitt, Hartley, & Godfrey, 2010; Moreira, Smith, & Foxcroft, 2009; Riper et al., 2009) but limited published discussion of how to engage populations with interventions.”
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Innovative Treatment Approaches in Gambling Disorder
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“developed for alcohol misuse among younger populations, all have been individually focused on the person with misuse; most involve a nonmilitary college population, and none are directed to the CP [34-36].”
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“A number of electronic interventions using CD-ROMs, computers, and the internet, have been developed and tested [7, 8].”
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“There is modest support for the efficacy of self-help materials [9, 17, 18] for reducing alcohol use.”
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“This kind of brief intervention (often referred to as fully automated single session intervention) has been shown to have a positive outcome on risky drinkers [10-15].”
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“…include patient adherence, quality and type of exercises, motivation, and incomplete rehabilitation [3,4,6-8]. eHealth, defined as the use of the Internet in healthcare [12], could improve ACL rehabilitation when used as a tool to support behavior change and greater self-management [13,14].”
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“A recent systematic review suggests that the use of DHI may be an effective and cost-effective way of treating hazardous and harmful alcohol use [29].”
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“Some studies have tested digital or computer-based interventions to address unhealthy drinking behaviors, but have focused on hospitals, community-based settings, and smaller population subsets (such as veterans or college students).(5-29) ere is a gap in research covering computer-based programs that address unhealt…”
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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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