Evidence map›Paper›PMID 38194260›Full record

ArticleJournal of medical Internet research2024

Embodied Conversational Agents for Chronic Diseases: Scoping Review.

Zhili Jiang, Xiting Huang, Zhiqian Wang, Yang Liu, Lihua Huang, Xiaolin Luo

Open access · goldAbstract readScoping Review
In one paragraph

Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 pooled it
6.1field-weighted citation impact, top 3% of its field
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

20 citing papers in PubMed, 3 syntheses or guidelines pooled it, 35 citations in OpenAlex.

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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 at 1 institution in 1 country.

Zhili JiangDepartment of Nursing, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0009-0003-1993-7282
Xiting HuangDepartment of Nursing, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0002-4126-194X
Zhiqian WangDepartment of Nursing, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0009-0007-3757-1391
Yang LiuDepartment of Nursing, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0009-0005-9213-5328
Lihua HuangDepartment of Nursing, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0009-0007-5333-0213
Xiaolin LuoDepartment of Quality Evaluation, Zhejiang Evaluation Center for Medical Service and Administration, Hangzhou, China.ORCID 0009-0002-1678-8210
First Affiliated Hospital Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmbodied conversational agents (ECAs) are computer-generated animated humanlike characters that interact with users through verbal and nonverbal behavioral cues. They are increasingly used in a range of fields, including health care.

objectiveThis scoping review aims to identify the current practice in the development and evaluation of ECAs for chronic diseases.

methodsWe applied a methodological framework in this review. A total of 6 databases (ie, PubMed, Embase, CINAHL, ACM Digital Library, IEEE Xplore Digital Library, and Web of Science) were searched using a combination of terms related to ECAs and health in October 2023. Two independent reviewers selected the studies and extracted the data. This review followed the PRISMA-ScR (Preferred Reporting Items of Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) statement.

resultsThe literature search found 6332 papers, of which 36 (0.57%) met the inclusion criteria. Among the 36 studies, 27 (75%) originated from the United States, and 28 (78%) were published from 2020 onward. The reported ECAs covered a wide range of chronic diseases, with a focus on cancers, atrial fibrillation, and type 2 diabetes, primarily to promote screening and self-management. Most ECAs were depicted as middle-aged women based on screenshots and communicated with users through voice and nonverbal behavior. The most frequently reported evaluation outcomes were acceptability and effectiveness.

conclusionsThis scoping review provides valuable insights for technology developers and health care professionals regarding the development and implementation of ECAs. It emphasizes the importance of technological advances in the embodiment, personalized strategy, and communication modality and requires in-depth knowledge of user preferences regarding appearance, animation, and intervention content. Future studies should incorporate measures of cost, efficiency, and productivity to provide a comprehensive evaluation of the benefits of using ECAs in health care.

Indexed as

Atrial FibrillationDiabetes Mellitus, Type 2VoiceChronic DiseaseCommunicationFemaleHumansMiddle Agedchronic diseasesECAeHealthembodied conversational agenthealth caremobile phone

Identifiers

PMID38194260
PMCPMC10806449
OpenAlexW4389120557

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.