ArticleEClinicalMedicine2024
Effectiveness of a smartphone app (Drink Less) versus usual digital care for reducing alcohol consumption among increasing-and-higher-risk adult drinkers in the UK: a two-arm, parallel-group, double-blind, randomised controlled trial.
Article in EClinicalMedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed.
- Health goals, sex, and college enrollment: Impacts on young adult response to digital alcohol intervention.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2026Trial
- App-based skills training to reduce problem drinking among adult internet help-seekers: a double-blinded randomized controlled trial.Addiction science & clinical practice · 2026Trial
- The effectiveness of a drink-counting and a breathalyser-coupled smartphone application for reduced heavy drinking among alcohol-dependent adults in Sweden: A randomised controlled trial.Addiction (Abingdon, England) · 2025Trial
- Feasibility of delivering a digital multiple health behaviour intervention via a home-telemonitoring system: engagement, outcomes, and user experiences.BMC research notes · 2026Article
- Exploring Motives for Reducing Alcohol Consumption Among Users of an Alcohol Reduction App: Content Analysis.JMIR public health and surveillance · 2026Article
- Mind the Gap: Exploring Social Inequalities in Alcohol Consumption using Nationally Representative Data from the 2019 and 2021 Health Survey for England.BMC public health · 2026Article
- Reductions in World Health Organization Risk Drinking Levels as a Primary Efficacy End Point for Alcohol Clinical Trials: A Review.JAMA psychiatry · 2025Review
- Clinicians' perspectives on integrating smartphone application data into routine alcohol dependency treatment: factors influencing implementation.Addiction science & clinical practice · 2025Article
- Review
- Effect of the MyDéfi Smartphone Application on Binge Drinking Among University Students: Protocol of a Double-Blind Multicenter Prospective National Randomized Controlled Trial Using Phosphatidylethanol as a Biomarker-The SMARTBINGE Trial.International journal of methods in psychiatric research · 2025Article
- Gut Microbiome-Liver-Brain axis in Alcohol Use Disorder. The role of gut dysbiosis and stress in alcohol-related cognitive impairment progression: possible therapeutic approaches.Neurobiology of stress · 2025Article
- Personalised care for people with excessive alcohol use following an episode of self-harm: a mixed methods community case study in a psychiatric liaison team.Frontiers in psychiatry · 2025Article
- Optimizing the Measurement of Information on the Context of Alcohol Consumption Within the Drink Less App Among People Drinking at Increasing and Higher Risk Levels: Mixed-Methods Usability Study.JMIR formative research · 2024Article
- Cutting consumption without diluting the experience: Preferences for different tactics for reducing alcohol consumption among increasing-and-higher-risk drinkers based on drinking context.PLOS digital health · 2024Article
- Do engagement and behavioural mechanisms underpin the effectiveness of the Drink Less app?NPJ digital medicine · 2024Article
- Randomized controlled trial of a smartphone app designed to reduce unhealthy alcohol consumption.Internet interventions · 2024Article
- Methodological Insights on Recruitment and Retention From a Remote Randomized Controlled Trial Examining the Effectiveness of an Alcohol Reduction App: Descriptive Analysis Study.JMIR formative research · 2024Article
Corrections and comments
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Digital interventions, including apps and websites, can be effective for reducing alcohol consumption. However, many are not evidence- or theory-informed and have not been evaluated. We tested the effectiveness of the Drink Less app for reducing alcohol consumption compared with usual digital care in the UK. Methods: In this two-arm, parallel group, double-blind, randomised controlled trial, we enrolled increasing-and-higher-risk drinkers (AUDIT ≥ 8) in the UK, who were motivated to reduce their alcohol consumption and willing to use a digital intervention to do so, via online methods. Participants were randomly assigned (1:1), using an online algorithm, to receive a web link to download the Drink Less app (intervention) or to the NHS alcohol advice webpage (usual digital care). Researchers were masked to group allocation. Participants were followed up at one, three and six months. The primary outcome was self-reported weekly alcohol consumption at six months, adjusting for baseline consumption. The full analytic sample was used in most analyses, though missing data was treated in different ways. The primary, pre-registered intention-to-treat analysis assumed baseline-carried-forwards. Secondary pre-registered analyses also focused on the full analytic sample and used alternatives including multiple imputation and last observation carried forwards. This trial is registered with the ISRCTN registry, ISRCTN64052601. Findings: Between 07/13/2020 and 03/29/2022, 5602 people were randomly assigned to the Drink Less app (n = 2788) or comparator (n = 2814) groups. Six-month follow-up rates were 79% and 80%, respectively. The primary pre-registered conservative intention-to-treat approach assuming non-responders were drinking at baseline levels of consumption, found a non-significant greater reduction of 0.98 units in weekly alcohol consumption in the intervention group at 6-month follow-up (95% CI -2.67 to 0.70). The data were insensitive to detect the hypothesised effect (Bayes factor = 1.17). Data were not missing completely at random, with 6-month follow-up rates differing in terms of education, occupation, and income. We therefore conducted the pre-registered sensitivity analysis using multiple imputation, showing that the Interpretation: The Funding: NIHR Public Health Research Programme.
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