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

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)504-513
Number of pages10
JournalAMIA ... Annual Symposium proceedings. AMIA Symposium
Volume2020
StatePublished - 2020

ASJC Scopus subject areas

  • Medicine(all)

Fingerprint

Dive into the research topics of 'Conversational Agents for Chronic Disease Self-Management: A Systematic Review'. Together they form a unique fingerprint.

Cite this