Trial reportJMIR mHealth and uHealth2023
How Notifications Affect Engagement With a Behavior Change App: Results From a Micro-Randomized Trial.
Trial report in JMIR mHealth and uHealth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Investigating the approach of using behavior change techniques in the field of mobile applications: a systematic review.BMC health services research · 2025Pooled it
- mHealth to support resistance training using outdoor gyms: the ecofit hybrid type 3 implementation-effectiveness trial.Translational behavioral medicine · 2026Trial
- Efficacy of a theory-based and tailored mHealth intervention promoting walking behavior: a preliminary randomized controlled trial.Scientific reports · 2025Trial
- Reminder Strategies to Improve Meal-Logging Adherence: Protocol for a Microrandomized Trial.JMIR research protocols · 2026Article
- A Transferable Evaluation Framework for Mobile Health Data Collection in Shift-Work Nurses: Development and Feasibility Study.JMIR formative research · 2026Article
- A bibliometric analysis of research on the application of just-in-time adaptive interventions in mental health.Medicine · 2026Review
- Design, Implement, Sustain: Advancing Program-Led Interventions for Binge Eating, a Narrative Review.European eating disorders review : the journal of the Eating Disorders Association · 2026Review
- Antecedents and consequences of different indicators of engagement with a digital intervention for tobacco cessation.NPJ digital medicine · 2026Article
- Promoting adherence to weight-related behaviors in young adults: Design of the Nudge microrandomized trial.Contemporary clinical trials · 2026Article
- Young adults' perceptions and experiences in using mobile apps and wearables for health: a qualitative study with public involvement.BMC public health · 2026Article
- Exploring Motives for Reducing Alcohol Consumption Among Users of an Alcohol Reduction App: Content Analysis.JMIR public health and surveillance · 2026Article
- Integrating Artificial Intelligence and Smartphone Technology to Enhance Personalized Assessment and Treatment for Eating Disorders.The International journal of eating disorders · 2025Review
- Current approaches using remote monitoring technology in alcohol use disorder (AUD): an integrative review.Alcohol and alcoholism (Oxford, Oxfordshire) · 2025Review
- Exploring Perceptions, Barriers, and Facilitators of Participation in an Exercise Snack Intervention Among U.S. Office Workers: Findings From a Pilot Study.American journal of health promotion : AJHP · 2025Article
- Health Care Professionals' Engagement With Digital Mental Health Interventions in the United Kingdom and China: Mixed Methods Study on Engagement Factors and Design Implications.JMIR mental health · 2025Article
- Personal Goals, User Engagement, and Meal Adherence within a Personalised AI-Based Mobile Application for Nutrition and Physical Activity.Life (Basel, Switzerland) · 2024Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 6 institutions in 2 countries.
Funding
Abstract
backgroundDrink Less is a behavior change app to help higher-risk drinkers in the United Kingdom reduce their alcohol consumption. The app includes a daily notification asking users to "Please complete your drinks and mood diary," yet we did not understand the causal effect of the notification on engagement nor how to improve this component of Drink Less. We developed a new bank of 30 new messages to increase users' reflective motivation to engage with Drink Less. This study aimed to determine how standard and new notifications affect engagement.
objectiveOur objective was to estimate the causal effect of the notification on near-term engagement, to explore whether this effect changed over time, and to create an evidence base to further inform the optimization of the notification policy.
methodsWe conducted a micro-randomized trial (MRT) with 2 additional parallel arms. Inclusion criteria were Drink Less users who consented to participate in the trial, self-reported a baseline Alcohol Use Disorders Identification Test score of ≥8, resided in the United Kingdom, were aged ≥18 years, and reported interest in drinking less alcohol. Our MRT randomized 350 new users to test whether receiving a notification, compared with receiving no notification, increased the probability of opening the app in the subsequent hour, over the first 30 days since downloading Drink Less. Each day at 8 PM, users were randomized with a 30% probability of receiving the standard message, a 30% probability of receiving a new message, or a 40% probability of receiving no message. We additionally explored time to disengagement, with the allocation of 60% of eligible users randomized to the MRT (n=350) and 40% of eligible users randomized in equal number to the 2 parallel arms, either receiving the no notification policy (n=98) or the standard notification policy (n=121). Ancillary analyses explored effect moderation by recent states of habituation and engagement.
resultsReceiving a notification, compared with not receiving a notification, increased the probability of opening the app in the next hour by 3.5-fold (95% CI 2.91-4.25). Both types of messages were similarly effective. The effect of the notification did not change significantly over time. A user being in a state of already engaged lowered the new notification effect by 0.80 (95% CI 0.55-1.16), although not significantly. Across the 3 arms, time to disengagement was not significantly different.
conclusionsWe found a strong near-term effect of engagement on the notification, but no overall difference in time to disengagement between users receiving the standard fixed notification, no notification at all, or the random sequence of notifications within the MRT. The strong near-term effect of the notification presents an opportunity to target notifications to increase "in-the-moment" engagement. Further optimization is required to improve the long-term engagement. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/18690.
Indexed as
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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.