ArticleJMIR formative research2022
Contrasting a Mobile App With a Conversational Chatbot for Reducing Alcohol Consumption: Randomized Controlled Pilot Trial.
Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04447794 (Can a Chatbot-delivered Alcohol Intervention Engage Users and Enhance Outcomes Over a Smartphone App? Development and Feasibility Testing of a StepAway 'Bot'), which is not on this map. Cited by 14 papers.
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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.
Can a Chatbot-delivered Alcohol Intervention Engage Users and Enhance Outcomes Over a Smartphone App? Development and Feasibility Testing of a StepAway 'Bot'
Who cites it
14 citing papers in PubMed.
- Brief report: Aging adult utilization of an mHealth intervention for problem drinking.Frontiers in public health · 2024Trial
- 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
- Imposters, Bots, and Other Threats to Data Integrity in Online Research: Scoping Review of the Literature and Recommendations for Best Practices.Online journal of public health informatics · 2025Review
- Development and preliminary testing of a secure large language model-based chatbot for brief alcohol counseling in young adults.Drug and alcohol dependence · 2025Article
- Women Empowered to Connect With Addiction Resources and Engage in Evidence-Based Treatment (WE-CARE)-an mHealth Application for the Universal Screening of Alcohol, Substance Use, Depression, and Anxiety: Usability and Feasibility Study.JMIR formative research · 2025Article
- Perspective on Using Artificial Intelligence in Alcohol Research and Treatment: Opportunities and Ethical Considerations.Alcohol research : current reviews · 2025Review
- Translation Effectiveness of Offset Heart Rate Biofeedback as a Mindless Intervention for Alcohol Craving Among Risky Drinkers: Controlled Experiment.JMIR formative research · 2024Article
- Deceptively Simple yet Profoundly Impactful: Text Messaging Interventions to Support Health.Journal of medical Internet research · 2024Review
- Randomized controlled trial of a smartphone app designed to reduce unhealthy alcohol consumption.Internet interventions · 2024Article
- Engagement with mHealth Alcohol Interventions: User Perspectives on an App or Chatbot-Delivered Program to Reduce Drinking.Healthcare (Basel, Switzerland) · 2024Article
- A systematic review of chatbot-assisted interventions for substance use.Frontiers in psychiatry · 2024Article
- Effectiveness of chatbots on COVID vaccine confidence and acceptance in Thailand, Hong Kong, and Singapore.NPJ digital medicine · 2023Article
- Functional Analysis and Quality Assessment of Mobile Applications for Managing Alcohol Use Disorder.International journal of addiction nursingArticle
- Using an AI-powered Mobile Application Chatbot to Address Maternal Depression Indicators and Inquiries in the Perinatal and Postpartum Periods: A Multimethod Analysis.Inquiry : a journal of medical care organization, provision and financingArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundMobile apps have shown considerable promise for reducing alcohol consumption among problem drinkers, but like many mobile health apps, they frequently report low utilization, which is an important limitation, as research suggests that effectiveness is related to higher utilization. Interactive chatbots have the ability to provide a conversational interface with users and may be more engaging and result in higher utilization and effectiveness, but there is limited research into this possibility.
objectiveThis study aimed to develop a chatbot alcohol intervention based on an empirically supported app (Step Away) for reducing drinking and to conduct a pilot trial of the 2 interventions. Included participants met the criteria for hazardous drinking and were interested in reducing alcohol consumption. The study assessed utilization patterns and alcohol outcomes across the 2 technology conditions, and a waitlist control group.
methodsParticipants were recruited using Facebook advertisements. Those who met the criteria for hazardous consumption and expressed an interest in changing their drinking habits were randomly assigned to three conditions: the Step Away app, Step Away chatbot, and waitlist control condition. Participants were assessed on the web using the Alcohol Use Disorders Identification Test, Adapted for Use in the United States, Readiness to Change Questionnaire, Short Inventory of Problems-Revised, and Timeline Followback at baseline and at 12 weeks follow-up.
resultsA total of 150 participants who completed the baseline and follow-up assessments were included in the final analysis. ANOVA results indicated that participants in the 3 conditions changed their drinking from baseline to follow-up, with large effect sizes noted (ie, η
conclusionsResults indicated that all groups in this study reduced their drinking considerably from baseline to the 12-week follow-up, but no differences were found in the alcohol outcome variables between the groups, possibly because of a combination of small sample size and methodological issues. The app group reported greater use and slightly higher usability scores than the bot group, but the bot group demonstrated improved readiness to change scores over the app group. The strengths and limitations of the app and bot interventions as well as directions for future research are discussed.
trial registrationClinicalTrials.gov NCT04447794; https://clinicaltrials.gov/ct2/show/NCT04447794.
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