Cited by 118Substance Abuse Treatment and OutcomesDigital Mental Health InterventionsMobile Health and mHealth Applications

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A smartphone app to reduce excessive alcohol consumption: Identifying the effectiveness of intervention components in a factorial randomised control trial

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Crane, David, Garnett, Claire, Michie, Susan, West, Robert, Brown, Jamie·2018·Scientific Reports

DOI 10.1038/s41598-018-22420-8PMC PMC5847600

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Abstract

Our aim was to evaluate intervention components of an alcohol reduction app: Drink Less. Excessive drinkers (AUDIT>=8) were recruited to test enhanced versus minimal (reduced functionality) versions of five app modules in a 25 factorial trial. Modules were: Self-monitoring and Feedback, Action Planning, Identity Change, Normative Feedback, and Cognitive Bias Re-training. Outcome measures were: change in weekly alcohol consumption (primary); full AUDIT score, app usage, app usability (secondary). Main effects and two-way interactions were assessed by ANOVA using intention-to-treat. A total of 672 study participants were included. There were no significant main effects of the intervention modules on change in weekly alcohol consumption or AUDIT score. There were two-way interactions between enhanced Normative Feedback and Cognitive Bias Re-training on weekly alcohol consumption (F = 4.68, p = 0.03) and between enhanced Self-monitoring and Feedback and Action Planning on AUDIT score (F = 5.82, p = 0.02). Enhanced Self-monitoring and Feedback was used significantly more often and rated significantly more positively for helpfulness, satisfaction and recommendation to others than the minimal version. To conclude, in an evaluation of the Drink Less smartphone application, the combination of enhanced Normative Feedback and Cognitive Bias Re-training and enhanced Self-monitoring and Feedback and Action Planning yielded improvements in alcohol-related outcomes after 4-weeks.

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Figure 1 AUDIT = Alcohol Use Disorders Identification Test, YOB = Year of birth, intensive = intensive (experimental) version of the app, minimal = minimal (control) version of the app.CC BY · PubMed Central

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Authors: Crane, D., Garnett, C., Michie, S., West, R., & Brown, J.
Affiliations: University College London (GB)
Corresponding author: Crane, David
ORCID: Crane, David
Garnett, Claire
Michie, Susan
West, Robert
Brown, Jamie
Venue: Scientific Reports
Publisher: Springer Science and Business Media LLC
Published: 2018-03-12
Volume: 8
Issue: 1
Pages: 4384-4384
ISSN: 2045-2322 (ISSN-L)
DOI: 10.1038/s41598-018-22420-8
PMC: PMC5847600
OpenAlex: W2789617414
Cited by: 118
References: 63
Citations by year: 2026: 4 · 2025: 12 · 2024: 12 · 2023: 10 · 2022: 25 · 2021: 20 · 2020: 16 · 2019: 14 · 2018: 5
FWCI: 10.74
Type: journal article
Language: en
Update notices: correction (2018-04-27)
Open access: gold
doi.org
Licence: cc-by
creativecommons.org/licenses/by/4.0 (tdm)
creativecommons.org/licenses/by/4.0 (vor)
Locations: Scientific Reports (publishedVersion, cc-by)
Europe PMC (PubMed Central) (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
UCL Discovery (University College London) (submittedVersion)
Funders: United Kingdom Clinical Research Collaboration
Cancer Research UK ((C1417/A22962), C1417, 22962, A22962)
National Institute for Health and Care Research (C1417/A22962)
British Heart Foundation
Medical Research Council (MR/K023195/1, C1417/A22962)
Economic and Social Research Council
School for Public Health Research (C1417/A22962)
Topics: Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Keywords: excessive alcohol consumption, mobile application, alcohol reduction interventions, action planning, personal transformation, normative feedback, auditing, app usability, app usage
MeSH terms: Smartphone, Self-Management, Adult, Alcohol Drinking, Feedback, Female, Humans, Male, Teaching, Bias, Mobile Applications

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A smartphone app to reduce excessive alcohol consumption: Identifying the effectiveness of intervention components in a factorial randomised control trial

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