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Conversational Agents for Chronic Disease Self-Management: A Systematic Review
Ashley C Griffin1,2, Zhaopeng Xing1,2, Saif Khairat1,2
1University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Summary
Conversational agents show promise for chronic disease self-management. This review found them usable and acceptable, with potential benefits for mental health outcomes.
Area of Science:
- Digital Health
- Human-Computer Interaction
- Behavioral Science
Background:
- Chronic diseases require ongoing self-management.
- Conversational agents offer a scalable approach to support patients.
- Existing literature on their effectiveness in self-management is fragmented.
Purpose of the Study:
- To systematically review the use of conversational agents for chronic disease self-management.
- To assess the usability, acceptability, and effectiveness of these agents.
Main Methods:
- Systematic literature review following PRISMA guidelines.
- Searched five databases for full-text articles on text-based conversational agents for adult chronic disease self-management.
- Included 12 studies out of 1,606 identified.
Main Results:
- Outcomes focused on usability; participants reported positive attitudes with privacy and content depth concerns.
- Improvements noted in Patient Health Questionnaire, Generalized Anxiety Disorder Scale, Perceived Stress Scale, Flourishing Scale, and Overall Anxiety Severity and Impairment Scale.
- Early evidence suggests acceptability and usability.
Conclusions:
- Conversational agents are acceptable and usable tools for chronic disease self-management.
- They demonstrate potential effectiveness, particularly in supporting mental health.
- Further research is warranted to optimize content and address privacy concerns.
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