ArticleJournal of medical Internet research2022
Conversational Agents in Health Care: Scoping Review of Their Behavior Change Techniques and Underpinning Theory.
Article in Journal of medical Internet 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 NCT05694507 (Evaluation of Chatbot for Mental Well-being), which is not on this map. Cited by 29 papers, 4 of them syntheses that pooled it.
What it found
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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.
Evaluation of Chatbot for Mental Well-being: A Randomized Controlled Trial
Who cites it
29 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Interactive Conversational Agents to Improve Dietary Behaviors for Health Promotion: Mixed Systematic Review.Journal of medical Internet research · 2025Pooled it
- Conversational Agents Supporting Self-Management in People With a Chronic Disease: Systematic Review.Journal of medical Internet research · 2025Pooled it
- The Effectiveness and Feasibility of Conversational Agents in Supporting Care for Patients With Cancer: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Attrition in Conversational Agent-Delivered Mental Health Interventions: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2024Pooled it
- Effectiveness of Topic-Based Chatbots on Mental Health Self-Care and Mental Well-Being: Randomized Controlled Trial.Journal of medical Internet research · 2025Trial
- Behavior Change Content and Implementation of Large Language Model-Driven Conversational Agents in Cardiometabolic Care: Scoping Review.Journal of medical Internet research · 2026Article
- Engagement with a Chatbot-based Intervention for the delivery of mailed at-home COVID-19 Testing: a Descriptive Log Analysis Study from the SCALE-UP II Trial.medRxiv : the preprint server for health sciences · 2026Article
- Mapping behavior change techniques and health data combinations in virtual agents for chronic condition management: A systematic scoping review.PLOS digital health · 2026Article
- Identifying Evidence-Based Strategies in a Digital Mental Health Intervention for Depression: Qualitative Content Analysis.Journal of medical Internet research · 2026Article
- Understanding capability, opportunity, and motivation for at-home COVID-19 testing in underserved populations during the pandemic.Translational behavioral medicine · 2026Article
- Mental health chatbots and their technical features: A systematic review of reviews and a thematic analysis.Global mental health (Cambridge, England) · 2026Review
- Never say never: exploring the effects of knowledge availability on agent persuasiveness in controlled physiotherapy motivation dialogues.Frontiers in artificial intelligence · 2026Article
- Toward personalized persuasive social robots for behavior change in healthcare: a conceptual framework.Frontiers in robotics and AI · 2026Article
- Evaluating the appropriateness and safety of generative AI in delivering lifestyle guidance for atrial fibrillation patients.Scientific reports · 2025Article
- Barriers and Facilitators to User Engagement and Moderation for Web-Based Peer Support Among Young People: Qualitative Study Using the Behavior Change Wheel Framework.JMIR human factors · 2025Article
- Effectiveness of digital tools in promoting advance care planning: a systematic review protocol.Frontiers in medicine · 2025Article
- Deceptively Simple yet Profoundly Impactful: Text Messaging Interventions to Support Health.Journal of medical Internet research · 2024Review
- The acceptability and effectiveness of artificial intelligence-based chatbot for hypertensive patients in community: protocol for a mixed-methods study.BMC public health · 2024Article
- Roles, Users, Benefits, and Limitations of Chatbots in Health Care: Rapid Review.Journal of medical Internet research · 2024Review
- Evaluating the Potential and Pitfalls of AI-Powered Conversational Agents as Humanlike Virtual Health Carers in the Remote Management of Noncommunicable Diseases: Scoping Review.Journal of medical Internet 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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundConversational agents (CAs) are increasingly used in health care to deliver behavior change interventions. Their evaluation often includes categorizing the behavior change techniques (BCTs) using a classification system of which the BCT Taxonomy v1 (BCTTv1) is one of the most common. Previous studies have presented descriptive summaries of behavior change interventions delivered by CAs, but no in-depth study reporting the use of BCTs in these interventions has been published to date.
objectiveThis review aims to describe behavior change interventions delivered by CAs and to identify the BCTs and theories guiding their design.
methodsWe searched PubMed, Embase, Cochrane's Central Register of Controlled Trials, and the first 10 pages of Google and Google Scholar in April 2021. We included primary, experimental studies evaluating a behavior change intervention delivered by a CA. BCTs coding followed the BCTTv1. Two independent reviewers selected the studies and extracted the data. Descriptive analysis and frequent itemset mining to identify BCT clusters were performed.
resultsWe included 47 studies reporting on mental health (n=19, 40%), chronic disorders (n=14, 30%), and lifestyle change (n=14, 30%) interventions. There were 20/47 embodied CAs (43%) and 27/47 CAs (57%) represented a female character. Most CAs were rule based (34/47, 72%). Experimental interventions included 63 BCTs, (mean 9 BCTs; range 2-21 BCTs), while comparisons included 32 BCTs (mean 2 BCTs; range 2-17 BCTs). Most interventions included BCTs 4.1 "Instruction on how to perform a behavior" (34/47, 72%), 3.3 "Social support" (emotional; 27/47, 57%), and 1.2 "Problem solving" (24/47, 51%). A total of 12/47 studies (26%) were informed by a behavior change theory, mainly the Transtheoretical Model and the Social Cognitive Theory. Studies using the same behavior change theory included different BCTs.
conclusionsThere is a need for the more explicit use of behavior change theories and improved reporting of BCTs in CA interventions to enhance the analysis of intervention effectiveness and improve the reproducibility of research.
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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.