Evidence map›Paper›PMID 33936424›Full record

SynthesisAMIA ... Annual Symposium proceedings. AMIA Symposium2020

Conversational Agents for Chronic Disease Self-Management: A Systematic Review.

Ashley C Griffin, Zhaopeng Xing, Saif Khairat, Yue Wang, Stacy Bailey, Jaime Arguello, Arlene E Chung

Open access · greenAbstract readSystematic Review
In one paragraph

Synthesis in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 5 pooled it
1.7field-weighted citation impact, top 15% 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

28 citing papers in PubMed, 5 syntheses or guidelines pooled it, 31 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

7 authors at 3 institutions in 1 country.

Ashley C GriffinUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Zhaopeng XingUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Saif KhairatUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Yue WangUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Stacy BaileyNorthwestern University, Chicago, IL, USA.
Jaime ArguelloUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Arlene E ChungUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
AnMed Health · USUniversity of North Carolina at Chapel Hill · USNorthwestern University · US

Funding

An Interdisciplinary Program for Advanced Training in Health Data AnalyticsT15LM012500 · NLM · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MOSTAFA, JAVED · 2017 to 2021
$2.9M
NLM NIH HHS T15 LM012500
6 · The paper itself

Abstract

We conducted a systematic literature review to assess how conversational agents have been used to facilitate chronic disease self-management. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework was used. Literature was searched across five databases, and we included full-text articles that contained primary research findings for text-based conversational agents focused on self-management for chronic diseases in adults. 1,606 studies were identified, and 12 met inclusion criteria. Outcomes were largely focused on usability of conversational agents, and participants mostly reported positive attitudes with some concerns related to privacy and shallow content. In several studies, there were improvements on the Patient Health Questionnaire (p<0.05), Generalized Anxiety Disorder Scale (p=0.004), Perceived Stress Scale (p=0.048), Flourishing Scale (p=0.032), and Overall Anxiety Severity and Impairment Scale (p<0.05). There is early evidence that suggests conversational agents are acceptable, usable, and may be effective in supporting self-management, particularly for mental health.

Indexed as

Self-ManagementAdultArtificial IntelligenceChronic DiseaseCommunicationHumansMental HealthNatural Language ProcessingSelf CareSemantics

Identifiers

PMID33936424
PMCPMC8075433
OpenAlexW3029938811

What OpenQuestion holds

Textmetadata
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.