ArticleTranslational behavioral medicine2019
The development of Drink Less: an alcohol reduction smartphone app for excessive drinkers.
Article in Translational behavioral medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
34 citing papers in PubMed.
- Effectiveness of the WeChat-based mini-program ("Sober Time ACT") on individuals with hazardous drinking in China: a randomized controlled trial.BMC medicine · 2025Trial
- Evaluating the Acceptability of the Drink Less App and the National Health Service Alcohol Advice Web Page: Qualitative Interview Process Evaluation.Journal of medical Internet research · 2024Trial
- Bot or Not? Detecting and Managing Participant Deception When Conducting Digital Research Remotely: Case Study of a Randomized Controlled Trial.Journal of medical Internet research · 2023Trial
- How Notifications Affect Engagement With a Behavior Change App: Results From a Micro-Randomized Trial.JMIR mHealth and uHealth · 2023Trial
- Delivering Personalized Protective Behavioral Drinking Strategies via a Smartphone Intervention: a Pilot Study.International journal of behavioral medicine · 2019Trial
- Identifying Behavior Change Techniques for Digital Interventions Addressing Alcohol and Tobacco Co-Use: Findings From a Delphi Consensus Study.JMIR formative research · 2026Article
- Exploring Motives for Reducing Alcohol Consumption Among Users of an Alcohol Reduction App: Content Analysis.JMIR public health and surveillance · 2026Article
- Reducing alcohol consumption in UK armed forces veterans: Feasibility of using personalized push notifications with AI.PLOS digital health · 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
- Perceptions Toward an Attentional Bias Modification Mobile Game Among Individuals With Low Socioeconomic Status Who Smoke: Qualitative Study.JMIR serious games · 2025Article
- The effects of cognitive behavioral therapy-based digital therapeutic intervention on patients with alcohol use disorder.Frontiers in psychiatry · 2025Article
- Assessing the Feasibility and Acceptability of the Daybreak Drink Tracker: Prospective Observational Study.JMIR formative research · 2024Observational
- 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
- Article
- 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
- Article
- 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
- Personalised lifestyle recommendations for type 2 diabetes: Design and simulation of a recommender system on UK Biobank Data.PLOS digital health · 2023Article
- Sample size considerations for micro-randomized trials with binary proximal outcomes.Statistics in medicine · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Excessive alcohol consumption poses a serious problem for public health. Digital behavior change interventions have the potential to help users reduce their drinking. In accordance with Open Science principles, this paper describes the development of a smartphone app to help individuals who drink excessively to reduce their alcohol consumption. Following the UK Medical Research Council's guidance and the Multiphase Optimization Strategy, development consisted of two phases: (i) selection of intervention components and (ii) design and development work to implement the chosen components into modules to be evaluated further for inclusion in the app. Phase 1 involved a scoping literature review, expert consensus study and content analysis of existing alcohol apps. Findings were integrated within a broad model of behavior change (Capability, Opportunity, Motivation-Behavior). Phase 2 involved a highly iterative process and used the "Person-Based" approach to promote engagement. From Phase 1, five intervention components were selected: (i) Normative Feedback, (ii) Cognitive Bias Re-training, (iii) Self-monitoring and Feedback, (iv) Action Planning, and (v) Identity Change. Phase 2 indicated that each of these components presented different challenges for implementation as app modules; all required multiple iterations and design changes to arrive at versions that would be suitable for inclusion in a subsequent evaluation study. The development of the Drink Less app involved a thorough process of component identification with a scoping literature review, expert consensus, and review of other apps. Translation of the components into app modules required a highly iterative process involving user testing and design modification.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.