SynthesisJMIR mHealth and uHealth2019
Mobile Health Interventions for Self-Control of Unhealthy Alcohol Use: Systematic Review.
Synthesis in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 5 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
48 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- How effective are remote and/or digital interventions as part of alcohol and drug treatment and recovery support? A systematic review and meta-analysis.Addiction (Abingdon, England) · 2025Pooled it
- Could the use of web-based applications assist in neuropsychiatric treatment? An umbrella review.BMC psychology · 2025Pooled it
- Affected other interventions: a systematic review and meta-analysis across addictions.Addiction (Abingdon, England) · 2022Pooled it
- Mobile Apps to Reduce Tobacco, Alcohol, and Illicit Drug Use: Systematic Review of the First Decade.Journal of medical Internet research · 2020Pooled it
- Influences on the Uptake of and Engagement With Health and Well-Being Smartphone Apps: Systematic Review.Journal of medical Internet research · 2020Pooled it
- Text Messaging Intervention for Postpartum Alcohol Use: Micro-Randomized Trial Supports Feasibility, Acceptability, and Maternal Message Preference.Journal of studies on alcohol and drugs · 2026Trial
- Couple-Focused Smartphone Intervention to Reduce Problem Drinking: Pilot Randomized Control Trial.JMIR formative research · 2024Trial
- Efficacy of an mHealth App to Support Patients' Self-Management of Hypertension: Randomized Controlled Trial.Journal of medical Internet research · 2023Trial
- Effect of a smartphone intervention as a secondary prevention for use among university students with unhealthy alcohol use: randomised controlled trial.BMJ (Clinical research ed.) · 2023Trial
- Trial
- Health-Related Quality of Life Before and After Sobriety in Combination With an Adjunctive Journaling App in Patients With Alcohol-Related Liver Disease: Prospective Single-Arm Study.JMIR formative research · 2026Observational
- Predicting individual differences in digital alcohol intervention effectiveness through multimodal data.NPJ digital medicine · 2026Article
- Mobile Application Intervention for Prevention of Multiple Risk Behaviors among Thai Female Adolescents: A Quasi-experimental Study.International journal of community based nursing and midwifery · 2025Article
- Effect of the MyDéfi Smartphone Application on Binge Drinking Among University Students: Protocol of a Double-Blind Multicenter Prospective National Randomized Controlled Trial Using Phosphatidylethanol as a Biomarker-The SMARTBINGE Trial.International journal of methods in psychiatric research · 2025Article
- Social media crisis communication and public engagement during COVID-19 analyzing public health and news media organizations' tweeting strategies.Scientific reports · 2025Article
- Predicting 28-day all-cause unplanned hospital re-admission of patients with alcohol use disorders: a machine learning approach.Alcohol and alcoholism (Oxford, Oxfordshire) · 2025Article
- ADHD and Alcohol Use Disorder: Optimizing Screening and Treatment in Co-occurring Conditions.CNS drugs · 2025Review
- A physiologically-based digital twin for alcohol consumption-predicting real-life drinking responses and long-term plasma PEth.NPJ digital medicine · 2024Article
- Testing support models for implementing an evidence-based digital intervention for alcohol use disorder: results of a pragmatic hybrid implementation-effectiveness trial.Research square · 2024Article
- U.S. veterans' experiences and factors associated with use of a smartphone application to self-manage unhealthy alcohol use.Psychological services · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundUnhealthy alcohol use (UAU) is one of the major causes of preventable morbidity, mortality, and associated behavioral risks worldwide. Although mobile health (mHealth) interventions can provide consumers with an effective means for self-control of UAU in a timely, ubiquitous, and cost-effective manner, to date, there is a lack of understanding about different health outcomes brought by such interventions. The core components of these interventions are also unclear.
objectiveThis study aimed to systematically review and synthesize the research evidence about the efficacy of mHealth interventions on various health outcomes for consumer self-control of UAU and to identify the core components to achieve these outcomes.
methodsWe systematically searched 7 electronic interdisciplinary databases: Scopus, PubMed, PubMed Central, CINAHL Plus with full text, MEDLINE with full text, PsycINFO, and PsycARTICLES. Search terms and Medical Subject Headings "mHealth," "text message," "SMS," "App," "IVR," "self-control," "self-regulation," "alcohol*," and "intervention" were used individually or in combination to identify peer-reviewed publications in English from 2008 to 2017. We screened titles and abstracts and assessed full-text papers as per inclusion and exclusion criteria. Data were extracted from the included papers according to the Consolidated Standards of Reporting Trials-EHEALTH checklist (V 1.6.1) by 2 authors independently. Data quality was assessed by the Mixed Methods Appraisal Tool. Data synthesis and analyses were conducted following the procedures for qualitative content analysis. Statistical testing was also conducted to test differences among groups of studies.
resultsIn total, 19 studies were included in the review. Of these 19 studies, 12 (63%) mHealth interventions brought significant positive outcomes in improving participants' health as measured by behavioral (n=11), physiological (n=1), and cognitive indicators (n=1). No significant health outcome was reported in 6 studies (6/19, 32%). Surprisingly, a significant negative outcome was reported for the male participants in the intervention arm in 1 study (1/19, 5%), but no change was found for the female participants. In total, 5 core components reported in the mHealth interventions for consumer self-control of UAU were context, theoretical base, delivery mode, content, and implementation procedure. However, sound evidence is yet to be generated about the role of each component for mHealth success. The health outcomes were similar regardless of types of UAU, deployment setting, with or without nonmobile cointervention, and with or without theory.
conclusionsMost studies reported mHealth interventions for self-control of UAU appeared to be improving behavior, especially the ones delivered by short message service and interactive voice response systems. Further studies are needed to gather sound evidence about the effects of mHealth interventions on improving physiological and cognitive outcomes as well as the optimal design of these interventions, their implementation, and effects in supporting self-control of UAU.
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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.