Evidence map›Paper›PMID 34870611›Full record

ArticleJMIR formative research2021

Conversational Agent for Healthy Lifestyle Behavior Change: Web-Based Feasibility Study.

Dhakshenya Ardhithy Dhinagaran, Thirunavukkarasu Sathish, AiJia Soong, Yin-Leng Theng, James Best, Lorainne Tudor Car

Registry-linked trialAbstract read
In one paragraph

Article in JMIR formative research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07612800 (Tailored Brain Health Insights Through Nurturing Knowledge-based Change - Stakeholder-driven, Human-centered, AI-powered Refinement for Prevention), which is not on this map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

NCT07612800 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Tailored Brain Health Insights Through Nurturing Knowledge-based Change - Stakeholder-driven, Human-centered, AI-powered Refinement for Prevention (THINK-SHARP)

TypeinterventionalSponsorAlexandra HospitalRan2026 to 2029Enrolled350ConditionsMCI, DementiaArmsBLAZE (Brain health Lifestyle Action with personaliZed Engagement)
3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Dhakshenya Ardhithy DhinagaranLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore, Singapore.ORCID https://orcid.org/0000-0003-0629-5199
Thirunavukkarasu SathishPopulation Health Research Institute, McMaster University, Hamilton, ON, Canada.ORCID https://orcid.org/0000-0002-2016-4964
AiJia SoongLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore, Singapore.ORCID https://orcid.org/0000-0001-6217-8961
Yin-Leng ThengCentre for Healthy and Sustainable Cities, Nanyang Technological University, Singapore, Singapore, Singapore.ORCID https://orcid.org/0000-0003-2351-8884
James BestLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore, Singapore.ORCID https://orcid.org/0000-0002-5239-9274
Lorainne Tudor Car *Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore, Singapore.ORCID https://orcid.org/0000-0001-8414-7664

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe rising incidence of chronic diseases is a growing concern, especially in Singapore, which is one of the high-income countries with the highest prevalence of diabetes. Interventions that promote healthy lifestyle behavior changes have been proven to be effective in reducing the progression of prediabetes to diabetes, but their in-person delivery may not be feasible on a large scale. Novel technologies such as conversational agents are a potential alternative for delivering behavioral interventions that promote healthy lifestyle behavior changes to the public.

objectiveThe aim of this study is to assess the feasibility and acceptability of using a conversational agent promoting healthy lifestyle behavior changes in the general population in Singapore.

methodsWe performed a web-based, single-arm feasibility study. The participants were recruited through Facebook over 4 weeks. The Facebook Messenger conversational agent was used to deliver the intervention. The conversations focused on diet, exercise, sleep, and stress and aimed to promote healthy lifestyle behavior changes and improve the participants' knowledge of diabetes. Messages were sent to the participants four times a week (once for each of the 4 topics of focus) for 4 weeks. We assessed the feasibility of recruitment, defined as at least 75% (150/200) of our target sample of 200 participants in 4 weeks, as well as retention, defined as 33% (66/200) of the recruited sample completing the study. We also assessed the participants' satisfaction with, and usability of, the conversational agent. In addition, we performed baseline and follow-up assessments of quality of life, diabetes knowledge and risk perception, diet, exercise, sleep, and stress.

resultsWe recruited 37.5% (75/200) of the target sample size in 1 month. Of the 75 eligible participants, 60 (80%) provided digital informed consent and completed baseline assessments. Of these 60 participants, 56 (93%) followed the study through till completion. Retention was high at 93% (56/60), along with engagement, denoted by 50% (30/60) of the participants communicating with the conversational agent at each interaction. Acceptability, usability, and satisfaction were generally high. Preliminary efficacy of the intervention showed no definitive improvements in health-related behavior.

conclusionsThe delivery of a conversational agent for healthy lifestyle behavior change through Facebook Messenger was feasible and acceptable. We were unable to recruit our planned sample solely using the free options in Facebook. However, participant retention and conversational agent engagement rates were high. Our findings provide important insights to inform the design of a future randomized controlled trial.

Indexed as

acceptabilitybehavior changechatbotconversational agentsfeasibility trialhealthy lifestyle behavior changemobile phonepilot studypreliminary efficacyusability

Identifiers

PMID34870611
PMCPMC8686401

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.