ArticleJMIR mHealth and uHealth2018
Mobile Phone-Based Ecological Momentary Intervention to Reduce Young Adults' Alcohol Use in the Event: A Three-Armed 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 38 papers, 6 of them syntheses 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
38 citing papers in PubMed, 6 syntheses or guidelines pooled it, 63 citations in OpenAlex.
- Compliance With Ecological Momentary Assessment Among Patients With Cancer: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2026Pooled it
- Toward Participatory Precision Health With Co-Designed Recommendations: Systematic Review of Just-in-Time Adaptive Interventions in Adolescents and Young Adults.Journal of medical Internet research · 2026Pooled it
- Technology-mediated just-in-time adaptive interventions (JITAIs) to reduce harmful substance use: a systematic review.Addiction (Abingdon, England) · 2022Pooled it
- Routine provision of feedback from patient-reported outcome measurements to healthcare providers and patients in clinical practice.The Cochrane database of systematic reviews · 2021Pooled it
- Current reporting of usability and impact of mHealth interventions for substance use disorder: A systematic review.Drug and alcohol dependence · 2020Pooled it
- Mobile Apps for Mental Health Issues: Meta-Review of Meta-Analyses.JMIR mHealth and uHealth · 2020Pooled it
- Behavioral reactivity to ecological momentary assessment of alcohol and sexual assault protective behavioral strategies.Experimental and clinical psychopharmacology · 2026Trial
- A mobile-based pregaming drinking prevention intervention for college students: A pilot randomized controlled trial.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2023Trial
- Psychological distance intervention reminders reduce alcohol consumption frequency in daily life.Scientific reports · 2023Trial
- Consider the Source: Examining Attrition Rates, Response Rates, and Preliminary Effects of eHealth Mindfulness Messages and Delivery Framing in a Randomized Trial with Young Adult Cancer Survivors.Journal of adolescent and young adult oncology · 2021Trial
- Delivering Personalized Protective Behavioral Drinking Strategies via a Smartphone Intervention: a Pilot Study.International journal of behavioral medicine · 2019Trial
- What Do We Know About Proximal Factors Influencing Bystander Intervention? A Call for Momentary Assessment and Intervention.Journal of prevention (2022) · 2026Review
- Development of a Momentary Digital Intervention to Prevent Sexual Revictimization Among College Women: A Qualitative Examination of Perceived Acceptability and Usefulness.Journal of child sexual abuse · 2026Article
- Effects of Ecological Momentary Assessment Prompting Schedule on Affect Measurement Variability and Associations With Next-Day Health Behaviors.Assessment · 2026Article
- Current Practices and a Novel Operational Framework for Planning Research on Digital Health Promotion Interventions From Development to Implementation: Scoping Review.Journal of medical Internet research · 2026Article
- Personalizing ecological momentary intervention for substance use disorders through data-driven decision rules.Frontiers in psychiatry · 2026Review
- Day-level examination of ego-network effects on college students' alcohol consumption.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2025Article
- Ecological momentary interventions for eating disorders: a systematic review of the nascent science and recommendations for future research.Journal of eating disorders · 2025Article
- Current approaches using remote monitoring technology in alcohol use disorder (AUD): an integrative review.Alcohol and alcoholism (Oxford, Oxfordshire) · 2025Review
- Exploratory analysis of blood alcohol concentration-related technology use and drinking outcomes among young adults.Alcohol, clinical & experimental research · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 5 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundReal-time ecological momentary interventions have shown promising effects in domains other than alcohol use; however, only few studies regarding ecological momentary interventions for alcohol use have been conducted thus far. The increasing popularity of smartphones offers new avenues for intervention and innovation in data collection.
objectiveWe aimed to test the efficacy of an ecological momentary intervention, comprising mobile Web-based ecological momentary assessments (EMAs) and text messaging (short message service, SMS) brief interventions, delivered during drinking events using participants' mobile phones.
methodsWe conducted a three-armed randomized controlled trial to assess the effect of a mobile Web-based ecological momentary assessment with texting feedback on self-reported alcohol consumption and alcohol-related harms in young adults. Participants were enrolled from an existing observational cohort study of young adults screened for risky drinking behavior. The intervention group (ecological momentary intervention group) completed repeated ecological momentary assessments during 6 drinking events and received immediate texting-based feedback in response to each ecological momentary assessment. The second group (ecological momentary assessment group) completed ecological momentary assessments without the brief intervention, and the third did not receive any contact during the trial period. Recent peak risky single-occasion drinking was assessed at the baseline and follow-up using telephone interviews. We used a random effects mixed modeling approach using maximum likelihood estimation to provide estimates of differences in mean drinking levels between groups between baseline and 12-week follow-up.
resultsA total of 269 participants were randomized into the 3 groups. The ecological momentary intervention group exhibited a small and nonsignificant increase between baseline and follow-up in (geometric) the mean number of standard drinks consumed at the most recent heavy drinking occasion (mean 12.5 vs 12.7). Both ecological momentary assessment and control groups exhibited a nonsignificant decrease (ecological momentary assessment: mean 13.8 vs 11.8; control: mean 12.3 vs 11.6); these changes did not differ significantly between groups (Wald χ
conclusionsWith a small number of participants, this study showed few effects of an SMS-based brief intervention on peak risky single-occasion drinking. Nevertheless, the study highlights areas for further investigation into the effects of EMI on young adults with heavy alcohol consumption.
trial registrationAustralian New Zealand Clinical Trials Registry ACTRN12616001323415; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=369534 (Archived by WebCite at http://www.webcitation.org/7074mqwcs).
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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.