User and Provider Experiences With Health Education Chatbots: Qualitative Systematic Review
1Health Services Research Group, Medical Images Analysis and Artificial Intelligence, Danube Private University, Steiner Landstraße 124, Krems an der Donau, 3500, Austria, 43 0734102289.
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Summary
Chatbots show promise for health education and behavior change, but user trust and theoretical integration are key for adoption. Addressing privacy and technical barriers is crucial for maximizing their impact.
Area of Science:
- Digital Health
- Health Informatics
- Behavioral Science
Background:
- Chatbots offer transformative potential for health education and behavior-change interventions.
- Qualitative insights into user and provider experiences with health chatbots are underexplored.
- Key areas for investigation include user perceptions, adoption factors, and the role of theoretical frameworks in chatbot design.
Approach:
- Systematic review of qualitative and mixed-methods studies published between January 2018 and October 2023.
- Searches conducted in PubMed, Cochrane Library, and ScienceDirect.
- Studies involving users or providers in health education or behavior-change contexts were included.
- Quality assessment using Joanna Briggs Institute Critical Appraisal Checklist and reflexive thematic analysis.
Key Points:
- Users value empathy and emotional connection from health chatbots.
- Facilitators for adoption include accessibility and ease of use.
- Barriers encompass trust deficits, technical issues, and cultural misalignment.
- Behavior-change theories are underutilized in chatbot design despite their motivational potential.
Conclusions:
- Health chatbots have significant potential but require attention to privacy, trust, and theoretical grounding.
- Overcoming adoption barriers is essential for widespread impact.
- Future research should focus on cultural adaptability and ethical considerations in chatbot development.