ArticleJMIR mHealth and uHealth2015
Identification of Behavior Change Techniques and Engagement Strategies to Design a Smartphone App to Reduce Alcohol Consumption Using a Formal Consensus Method.
Article in JMIR mHealth and uHealth, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 8 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
71 citing papers in PubMed, 8 syntheses or guidelines pooled it, 134 citations in OpenAlex.
- Developing a culturally appropriate core competency training curriculum for eating support healthcare aides: a modified Delphi study.BMC geriatrics · 2026Guideline
- Potential associations between behavior change techniques and engagement with mobile health apps: a systematic review.Frontiers in psychology · 2023Pooled it
- Effectiveness of Mobile Apps to Promote Health and Manage Disease: Systematic Review and Meta-analysis of Randomized Controlled Trials.JMIR mHealth and uHealth · 2021Pooled it
- Can Smartphone Apps Increase Physical Activity? Systematic Review and Meta-Analysis.Journal of medical Internet research · 2019Pooled it
- Behavior Change Techniques Used in Digital Behavior Change Interventions to Reduce Excessive Alcohol Consumption: A Meta-regression.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2018Pooled it
- Experiences of mobile health in promoting physical activity: A qualitative systematic review and meta-ethnography.PloS one · 2018Pooled it
- Digital health behaviour change interventions targeting physical activity and diet in cancer survivors: a systematic review and meta-analysis.Journal of cancer survivorship : research and practice · 2017Pooled it
- Mobile Phone Apps to Promote Weight Loss and Increase Physical Activity: A Systematic Review and Meta-Analysis.Journal of medical Internet research · 2015Pooled it
- Self-relevant appeals to engage in self-monitoring of alcohol use: A microrandomized trial.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2023Trial
- Predicting the Users' Level of Engagement with a Smartphone Application for Smoking Cessation: Randomized Trial and Machine Learning Analysis.European addiction research · 2023Trial
- App-Based Relaxation Exercises for Patients With Chronic Neck Pain: Pragmatic Randomized Trial.JMIR mHealth and uHealth · 2022Trial
- Development and feasibility of a mobile phone application designed to support physically inactive employees to increase walking.BMC medical informatics and decision making · 2021Trial
- The effect of using a mobile application ("WhiteTeeth") on improving oral hygiene: A randomized controlled trial.International journal of dental hygiene · 2020Trial
- Reducing Primary Care Attendance Intentions for Pediatric Respiratory Tract Infections.Annals of family medicine · 2019Trial
- A smartphone app to reduce excessive alcohol consumption: Identifying the effectiveness of intervention components in a factorial randomised control trial.Scientific reports · 2018Trial
- HealthCall delivered via smartphone to reduce co-occurring drug and alcohol use in HIV-infected adults: A randomized pilot trial.Journal of substance abuse treatment · 2017Trial
- Patterns of Change in Weekend Drinking Cognitions Among Non-Treatment-Seeking Young Adults During Exposure to a 12-Week Text Message Intervention.Journal of studies on alcohol and drugs · 2016Trial
- Evaluating the effectiveness of a smartphone app to reduce excessive alcohol consumption: protocol for a factorial randomised control trial.BMC public health · 2016Trial
- Development of an Evaluation Framework for the Integration of Clinical and Preventive Medicine in Traditional Chinese Medicine: Using a DELPHI-AHP Approach.Journal of evaluation in clinical practice · 2026Article
- Identifying Evidence-Based Strategies in a Digital Mental Health Intervention for Depression: Qualitative Content Analysis.Journal of medical Internet research · 2026Article
11 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundDigital interventions to reduce excessive alcohol consumption have the potential to have a broader reach and be more cost-effective than traditional brief interventions. However, there is not yet strong evidence for their ability to engage users or their effectiveness.
objectiveThis study aimed to identify the behavior change techniques (BCTs) and engagement strategies most worthy of further study by inclusion in a smartphone app to reduce alcohol consumption, using formal expert consensus methods.
methodsThe first phase of the study consisted of a Delphi exercise with three rounds. It was conducted with 7 international experts in the field of alcohol and/or behavior change. In the first round, experts identified BCTs most likely to be effective at reducing alcohol consumption and strategies most likely to engage users with an app; these were rated in the second round; and those rated as effective by at least four out of seven participants were ranked in the third round. The rankings were analyzed using Kendall's W coefficient of concordance, which indicates consensus between participants. The second phase consisted of a new, independent group of experts (n=43) ranking the BCTs that were identified in the first phase. The correlation between the rankings of the two groups was assessed using Spearman's rank correlation coefficient.
resultsTwelve BCTs were identified as likely to be effective. There was moderate agreement among the experts over their ranking (W=.465, χ(2) 11=35.8, P<.001) and the BCTs receiving the highest mean rankings were self-monitoring, goal-setting, action planning, and feedback in relation to goals. There was a significant correlation between the ranking of the BCTs by the group of experts who identified them and a second independent group of experts (Spearman's rho=.690, P=.01). Seventeen responses were generated for strategies likely to engage users. There was moderate agreement among experts on the ranking of these engagement strategies (W=.563, χ(2) 15=59.2, P<.001) and those with the highest mean rankings were ease of use, design - aesthetic, feedback, function, design - ability to change design to suit own preferences, tailored information, and unique smartphone features.
conclusionsThe BCTs with greatest potential to include in a smartphone app to reduce alcohol consumption were judged by experts to be self-monitoring, goal-setting, action planning, and feedback in relation to goals. The strategies most likely to engage users were ease of use, design, tailoring of design and information, and unique smartphone features.
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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.