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A text-based conversational agent for asthma support: Mixed-methods feasibility study
Darren Cook1, Dorian Peters1, Laura Moradbakhti1
1Dyson School of Design Engineering, Imperial College London, London, UK.
Digital Health
|June 19, 2024
Summary
A chatbot improved asthma control by 8% in UK adults, with high engagement in self-assessment and symptom tracking. This digital tool shows promise for asthma management but needs enhanced conversational features.
Area of Science:
- Digital Health
- Respiratory Medicine
- Human-Computer Interaction
Background:
- Asthma affects millions in the UK, with a significant gap in accessing basic care, leading to high mortality rates.
- Chatbots offer a potential solution to extend asthma support and connect patients with healthcare services.
Purpose of the Study:
- To evaluate 'Brisa', a chatbot designed to enhance self-assessment and self-management for asthma patients.
- To assess the usability, effectiveness, and user satisfaction of the 'Brisa' chatbot.
Main Methods:
- 150 adults with asthma used the 'Brisa' chatbot via WhatsApp or website for 28 days.
- Evaluated user experience, asthma control, symptom tracking, interaction metrics, and qualitative feedback.
Main Results:
- 74% of participants engaged with the chatbot, with high task completion rates for risk assessment (86%) and control tracking (95.5%).
- An 8% improvement in asthma control was reported post-use, alongside positive user feedback on helpfulness, privacy, and functionality.
- Areas for improvement included conversational depth and personalization.
Conclusions:
- Chatbots are effective tools for asthma support, evidenced by high feature usage and improved asthma control.
- User satisfaction indicates a need for more advanced conversational capabilities in health-focused chatbots.
- Future chatbots must balance conversational fluency with accuracy and safety for sustained engagement and effectiveness.
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