ReviewJournal of medical systems2019
Using Health Chatbots for Behavior Change: A Mapping Study.
Review in Journal of medical systems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05003518 (ParentText User Engagement and Effectiveness Study), which is not on this map. Cited by 73 papers, 9 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.
ParentText User Engagement and Effectiveness Study
Who cites it
73 citing papers in PubMed, 9 syntheses or guidelines pooled it.
- Application of Chatbots to Help Patients Self-Manage Diabetes: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2024Pooled it
- A systematic review of artificial intelligence-powered (AI-powered) chatbot intervention for managing chronic illness.Annals of medicine · 2024Pooled it
- Effectiveness and acceptability of conversational agents for sexual health promotion: a systematic review and meta-analysis.Sexual health · 2022Pooled it
- Language Use in Conversational Agent-Based Health Communication: Systematic Review.Journal of medical Internet research · 2022Pooled it
- The Effectiveness of Combining Nonmobile Interventions With the Use of Smartphone Apps With Various Features for Weight Loss: Systematic Review and Meta-analysis.JMIR mHealth and uHealth · 2022Pooled it
- A Systematic Review on Healthcare Artificial Intelligent Conversational Agents for Chronic Conditions.Sensors (Basel, Switzerland) · 2022Pooled it
- A systematic review of artificial intelligence chatbots for promoting physical activity, healthy diet, and weight loss.The international journal of behavioral nutrition and physical activity · 2021Pooled it
- Artificial Intelligence-Based Conversational Agents for Chronic Conditions: Systematic Literature Review.Journal of medical Internet research · 2020Pooled it
- The Personalization of Conversational Agents in Health Care: Systematic Review.Journal of medical Internet research · 2019Pooled it
- Effects of Chatbot Components to Facilitate Mental Health Services Use in Individuals With Eating Disorders Following Online Screening: An Optimization Randomized Controlled Trial.The International journal of eating disorders · 2024Trial
- Development and Evaluation of a Smartphone-Based Chatbot Coach to Facilitate a Balanced Lifestyle in Individuals With Headaches (BalanceUP App): Randomized Controlled Trial.Journal of medical Internet research · 2024Trial
- Can intelligent agents improve data quality in online questiosnnaires? A pilot study.Behavior research methods · 2021Trial
- Comparing models of delivery for cancer genetics services among patients receiving primary care who meet criteria for genetic evaluation in two healthcare systems: BRIDGE randomized controlled trial.BMC health services research · 2021Trial
- TensioBot: a Chatbot Assistant for Self-Managed in-House Blood Pressure Checking.Journal of medical systems · 2021Trial
- A Smartphone-Based Health Care Chatbot to Promote Self-Management of Chronic Pain (SELMA): Pilot Randomized Controlled Trial.JMIR mHealth and uHealth · 2020Trial
- 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
- Article
- A Fine-Tuned Multimodal AI Chatbot for Dietary Health and Nutrition, Purrfessor: Development and Mixed Methods Evaluation.JMIR AI · 2026Article
- Development of an AI chatbot to support shared decision-making in rheumatoid arthritis: a two-phase usability study.BMC medical informatics and decision making · 2026Article
- Adolescent Perceptions of an Online Safety Chatbot: Survey Study.JMIR human factors · 2026Article
13 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study conducts a mapping study to survey the landscape of health chatbots along three research questions: What illnesses are chatbots tackling? What patient competences are chatbots aimed at? Which chatbot technical enablers are of most interest in the health domain? We identify 30 articles related to health chatbots from 2014 to 2018. We analyze the selected articles qualitatively and extract a triplet <technicalEnablers, competence, illness> for each of them. This data serves to provide a first overview of chatbot-mediated behavior change on the health domain. Main insights include: nutritional disorders and neurological disorders as the main illness areas being tackled; "affect" as the human competence most pursued by chatbots to attain change behavior; and "personalization" and "consumability" as the most appreciated technical enablers. On the other hand, main limitations include lack of adherence to good practices to case-study reporting, and a deeper look at the broader sociological implications brought by this technology.
Indexed as
Identifiers
30949846What OpenQuestion holds
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.