ArticleJMIR mHealth and uHealth2018
Predictors of Engagement, Response to Follow Up, and Extent of Alcohol Reduction in Users of a Smartphone App (Drink Less): Secondary Analysis of a Factorial Randomized Controlled Trial.
Article in JMIR mHealth and uHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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
23 citing papers in PubMed, 48 citations in OpenAlex.
- Examining engagement effects in an adaptive preventive intervention for college student drinking.Journal of consulting and clinical psychology · 2023Trial
- User Engagement Clusters of an 8-Week Digital Mental Health Intervention Guided by a Relational Agent (Woebot): Exploratory Study.Journal of medical Internet research · 2023Trial
- Identifying Content-Based Engagement Patterns in a Smoking Cessation Website and Associations With User Characteristics and Cessation Outcomes: A Sequence and Cluster Analysis.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021Trial
- Engagement With a Web-Based Intervention to Reduce Harmful Drinking: Secondary Analysis of a Randomized Controlled Trial.Journal of medical Internet research · 2020Trial
- User Character Strengths and Engagement Prediction on a Digital Mental Health Platform for Young People: Longitudinal Observational Study.Journal of medical Internet research · 2025Observational
- Applying models of self-regulated learning to understand engagement with digital health interventions: a narrative review.Frontiers in digital health · 2025Review
- Do engagement and behavioural mechanisms underpin the effectiveness of the Drink Less app?NPJ digital medicine · 2024Article
- User engagement with organizational mHealth stress management intervention - A mixed methods study.Internet interventions · 2024Article
- Is internet-based cognitive behavioral therapy for alcohol use disorder equally effective for men and women? Implications of a secondary analysis of a clinical trial.Frontiers in psychiatry · 2024Article
- Alcohol Treatment Access and Engagement Among Women in the USA: a Targeted Review of the Literature 2012-2022.Current addiction reports · 2023Article
- The engagement problem: A review of engagement with digital mental health interventions and recommendations for a path forward.Current treatment options in psychiatry · 2023Article
- Trajectory classes of engagement with an alcohol text message intervention and predictors of intervention engagement.Addictive behaviors · 2023Article
- A Smartphone Physical Activity App for Patients in Alcohol Treatment: Single-Arm Feasibility Trial.JMIR formative research · 2022Article
- Engagement With a Mobile Phone-Based Life Skills Intervention for Adolescents and Its Association With Participant Characteristics and Outcomes: Tree-Based Analysis.Journal of medical Internet research · 2022Article
- Predictors of Booster Engagement Following a Web-Based Brief Intervention for Alcohol Misuse Among National Guard Members: Secondary Analysis of a Randomized Controlled Trial.JMIR mental health · 2021Article
- Usability and Acceptability of a Mobile App for the Self-Management of Alcohol Misuse Among Veterans (Step Away): Pilot Cohort Study.JMIR mHealth and uHealth · 2021Article
- The impact of celebrity influence and national media coverage on users of an alcohol reduction app: a natural experiment.BMC public health · 2021Article
- Engagement in Digital Mental Health Interventions: Can Monetary Incentives Help?Frontiers in psychology · 2021Article
- Notifications to Improve Engagement With an Alcohol Reduction App: Protocol for a Micro-Randomized Trial.JMIR research protocols · 2020Article
- Methodological Challenges in Web-Based Trials: Update and Insights From the Relatives Education and Coping Toolkit Trial.JMIR mental health · 2020Article
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
backgroundDigital interventions for alcohol can help achieve reductions in hazardous and harmful alcohol consumption. The Drink Less app was developed using evidence and theory, and a factorial randomized controlled trial (RCT) suggested that 4 of its intervention modules may assist with drinking reduction. However, low engagement is an important barrier to effectiveness, and low response to follow up is a challenge for intervention evaluation. Research is needed to understand what factors influence users' level of engagement, response to follow up, and extent of alcohol reduction.
objectiveThis study aimed to investigate associations between user characteristics, engagement, response to follow up, and extent of alcohol reduction in an app-based intervention, Drink Less.
methodsThis study involved a secondary data analysis of a factorial RCT of the Drink Less app. Participants (N=672) were aged 18 years or older, lived in the United Kingdom, and had an Alcohol Use Disorders Identification Test score >7 (indicative of excessive drinking). Sociodemographic and drinking characteristics were assessed at baseline. Engagement was assessed in the first month of use (number of sessions, time on app, number of days used, and percentage of available screens viewed). Response to follow up and extent of alcohol reduction (change in past week consumption) were measured after 1 month. Associations were assessed using unadjusted and adjusted linear or logistic regression models.
resultsAge (all unstandardized regression coefficients [B] >.02, all P<.001) and post-16 educational qualifications (all B>.18, all P<.03) were positively associated with all engagement outcomes. Age (odds ratio [OR] 1.04, P<.001), educational qualifications (OR 2.11, P<.001), and female gender (OR 1.58, P=.02) were positively associated with response to follow up. Engagement outcomes predicted response to follow up (all OR>1.02, all P<.001) but not the extent of alcohol reduction (all -.14<B<-.06, all P>.07). Baseline drinking characteristics were the only variables associated with the extent of alcohol reduction among those followed up (all B>.49, all P<.001).
conclusionsUsers of the alcohol reduction app, Drink Less, who were older and had post-16 educational qualifications engaged more and were more likely to respond at 1-month follow up. Higher baseline alcohol consumption predicted a greater extent of alcohol reduction among those followed up but did not predict engagement or response to follow up. Engagement was associated with response to follow up but was not associated with the extent of alcohol reduction, which suggests that the Drink Less app does not have a dose-response effect.
trial registrationInternational Standard Randomised Controlled Trial Number ISRCTN40104069; http://www.isrctn.com/ISRCTN40104069 (Archived by WebCite at http://www.webcitation.org/746HqygIV).
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.