ArticleJMIR mHealth and uHealth2016
User Preferences for Content, Features, and Style for an App to Reduce Harmful Drinking in Young Adults: Analysis of User Feedback in App Stores and Focus Group Interviews.
Article in JMIR mHealth and uHealth, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
30 citing papers in PubMed, 1 synthesis or guideline pooled it, 72 citations in OpenAlex.
- mHealth Interventions to Reduce Alcohol Use in Young People: A Systematic Review of the Literature.Comprehensive child and adolescent nursing · 2020Pooled it
- Engagement With a Remote Symptom-Tracking Platform Among Participants With Major Depressive Disorder: Randomized Controlled Trial.JMIR mHealth and uHealth · 2024Trial
- Brief interventions to prevent excessive alcohol use in adolescents at low-risk presenting to Emergency Departments: Three-arm, randomised trial of effectiveness and cost-effectiveness.The International journal on drug policy · 2021Trial
- Digital Intervention Components for Preventing and Reducing Substance Use in Adolescents and Emerging Adults: A Comprehensive Scoping Review.Journal of prevention (2022) · 2026Article
- User Perceptions of E-Cigarette Cessation Apps: Content Analysis of App Reviews.Journal of medical Internet research · 2025Article
- Assessing the Feasibility and Acceptability of the Daybreak Drink Tracker: Prospective Observational Study.JMIR formative research · 2024Observational
- Discovering what young adults want in electronic interventions aimed at reducing alcohol-related consequences.Alcohol, clinical & experimental research · 2024Article
- Thematic Analysis on User Reviews for Depression and Anxiety Chatbot Apps: Machine Learning Approach.JMIR formative research · 2022Article
- Consumer Perspectives on Maternal and Infant Health Apps: Qualitative Content Analysis.Journal of medical Internet research · 2021Article
- Efficacy of a complex smartphone application for reducing hazardous alcohol consumption: Study protocol for a randomized controlled trial with analysis of in-app user behavior in relation to outcome.International journal of methods in psychiatric research · 2020Article
- Proposal for the User-Centered Design Approach for Health Apps Based on Successful Experiences: Integrative Review.JMIR mHealth and uHealth · 2020Review
- Patient preferences for visualization of longitudinal patient-reported outcomes data.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- Exploring User Needs and Preferences for Mobile Apps for Sleep Disturbance: Mixed Methods Study.JMIR mental health · 2019Article
- The development of Drink Less: an alcohol reduction smartphone app for excessive drinkers.Translational behavioral medicine · 2019Article
- Developing Typologies of User Engagement With the BRANCH Alcohol-Harm Reduction Smartphone App: Qualitative Study.JMIR mHealth and uHealth · 2018Article
- Measuring Engagement in eHealth and mHealth Behavior Change Interventions: Viewpoint of Methodologies.Journal of medical Internet research · 2018Article
- A Mobile Phone-Based Healthy Lifestyle Monitoring Tool for People With Mental Health Problems (MyHealthPA): Development and Pilot Testing.JMIR cardio · 2018Article
- Mobile App Tools for Identifying and Managing Mental Health Disorders in Primary Care.Current treatment options in psychiatry · 2018Article
- Identifying Medication Management Smartphone App Features Suitable for Young Adults With Developmental Disabilities: Delphi Consensus Study.JMIR mHealth and uHealth · 2018Article
- Mobile Phone Apps for Behavioral Interventions for At-Risk Drinkers in Australia: Literature Review.JMIR mHealth and uHealth · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
backgroundElectronic screening and brief intervention (eSBI) is effective in reducing weekly alcohol consumption when delivered by a computer. Mobile phone apps demonstrate promise in delivering eSBI; however, few have been designed with an evidence-based and user-informed approach.
objectiveThis study aims to explore from a user perspective, preferences for content, appearance, and operational features to inform the design of a mobile phone app for reducing quantity and frequency of drinking in young adults engaged in harmful drinking (18-30 year olds).
methodsPhase 1 included a review of user reviews of available mobile phone apps that support a reduction in alcohol consumption. Apps were identified on iTunes and Google Play and were categorized into alcohol reduction support, entertainment, blood alcohol content measurement (BAC), or other. eSBI apps with ≥18 user reviews were subject to a content analysis, which coded praise, criticism, and recommendations for app content, functionality, and esthetics. Phase 2 included four focus groups with young adults drinking at harmful levels and residing in South London to explore their views on existing eSBI apps and preferences for future content, functionality, and appearance. Detailed thematic analysis of the data was undertaken.
resultsIn Phase 1, of the 1584 apps extracted, 201 were categorized as alcohol reduction, 154 as BAC calculators, 509 as entertainment, and 720 as other. We classified 32 apps as eSBI apps. Four apps had ≥18 user reviews: Change for Life Drinks Tracker, Drinksmeter, Drinkaware, and Alcohol Units Calculator. The highest proportion of content praises were for information and feedback provided in the apps (12/27, 44%), followed by praise for the monitoring features (5/27, 19%). Many (8/12, 67%) criticisms were for the drinking diary; all of these were related to difficulty entering drinks. Over half (18/32, 56%) of functionality criticisms were descriptions of software bugs, and over half of those (10/18, 56%) were for app crashing or freezing. Drinksmeter and Alcohol Units Calculator were the most highly praised apps overall (23/57 and 22/57; 39% of praise overall). In Phase 2, two main themes were identified. The meaningfulness theme reflected how young adults thought apps needed to be tailored to the interests and values of their age group, particularly emphasizing content and feedback around broader health and well-being factors such as exercise, diet, and image. The community theme suggested that young adults want to be able to engage with other app users, both in groups of friends and with online users for motivation and support.
conclusionsTargeted and relevant information and feedback, in addition to easy-to-use monitoring tools, were found to be important features of a mobile phone app to support a reduction in drinking. Future app development should consider tailoring all app aspects to the needs of young adults, considering broader well-being monitoring tools and online community functions.
Indexed as
Identifiers
What OpenQuestion holds
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.