Evidence map›Paper›PMID 34762053›Full record

ArticleJMIR formative research2021

Public Perceptions of Diabetes, Healthy Living, and Conversational Agents in Singapore: Needs Assessment.

Dhakshenya Ardhithy Dhinagaran, Thirunavukkarasu Sathish, Tobias Kowatsch, Konstadina Griva, James Donovan Best, Lorainne Tudor Car

Abstract 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. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
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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
Tobias KowatschFuture Health Technologies Programme, Campus for Research Excellence and Technological Enterprise, Singapore-ETH Centre, Singapore, Singapore.ORCID https://orcid.org/0000-0001-5939-4145
Konstadina GrivaCentre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.ORCID https://orcid.org/0000-0001-8173-5663
James Donovan BestLee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore.ORCID https://orcid.org/0000-0002-5239-9274
Lorainne Tudor CarLee 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 incidence of chronic diseases such as type 2 diabetes is increasing in countries worldwide, including Singapore. Health professional-delivered healthy lifestyle interventions have been shown to prevent type 2 diabetes. However, ongoing personalized guidance from health professionals is not feasible or affordable at the population level. Novel digital interventions delivered using mobile technology, such as conversational agents, are a potential alternative for the delivery of healthy lifestyle change behavioral interventions to the public.

objectiveWe explored perceptions and experiences of Singaporeans on healthy living, diabetes, and mobile health (mHealth) interventions (apps and conversational agents). This study was conducted to help inform the design and development of a conversational agent focusing on healthy lifestyle changes.

methodsThis qualitative study was conducted in August and September 2019. A total of 20 participants were recruited from relevant healthy living Facebook pages and groups. Semistructured interviews were conducted in person or over the telephone using an interview guide. Interviews were transcribed and analyzed in parallel by 2 researchers using Burnard's method, a structured approach for thematic content analysis.

resultsThe collected data were organized into 4 main themes: use of conversational agents, ubiquity of smartphone apps, understanding of diabetes, and barriers and facilitators to a healthy living in Singapore. Most participants used health-related mobile apps as well as conversational agents unrelated to health care. They provided diverse suggestions for future conversational agent-delivered interventions. Participants also highlighted several knowledge gaps in relation to diabetes and healthy living. Regarding barriers to healthy living, participants mentioned frequent dining out, high stress levels, lack of work-life balance, and lack of free time to engage in physical activity. In contrast, discipline, preplanning, and sticking to a routine were important for enabling a healthy lifestyle.

conclusionsParticipants in this study commonly used mHealth interventions and provided important insights into their knowledge gaps and needs in relation to changes in healthy lifestyle behaviors. Future digital interventions such as conversational agents focusing on healthy lifestyle and diabetes prevention should aim to address the barriers highlighted in our study and motivate individuals to adopt healthy lifestyle behavior.

Indexed as

chatbotsconversational agentsdiabeteshealthy lifestyle changemobile phoneprediabetes

Identifiers

PMID34762053
PMCPMC8663498

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.