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Young Adult Perspectives on Artificial Intelligence-Based Medication Counseling in China: Discrete Choice Experiment
Jia Zhang1, Jing Wang2, JingBo Zhang3
1Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Young adults prefer AI medication counseling services with 100% symptom-specific results and easy-to-understand language. Convenience and video content are also key factors in their choices for digital health solutions.
Area of Science:
- Digital Health
- Artificial Intelligence (AI)
- Health Informatics
Background:
- Young adults increasingly use digital solutions, necessitating AI-driven health services.
- AI medication counseling can improve medication adherence and reduce adverse events.
- Understanding youth preferences is crucial for developing effective AI health tools.
Purpose of the Study:
- To assess preferences of young adults (18-44 years) for AI-based medication counseling services.
- To identify key attributes influencing the choice of AI medication counseling platforms.
Main Methods:
- Discrete Choice Experiment (DCE) with 6 attributes: granularity, linguistic comprehensibility, symptom-specific results, access platforms, content model, and costs.
- Mixed logit model used for preference estimation, willingness to pay (WTP), and relative importance (RI) analysis.
- Online questionnaire administered to 340 young adults, generating 8160 DCE observations.
Main Results:
- Strong preference for 100% symptom-specific results (RI=36.99%) and easy-to-understand language.
- Video content and WeChat applet access were preferred over general information and websites.
- Willingness to pay was highest for symptom-specific results; higher income and education correlated with stronger preferences for accuracy and specific features.
Conclusions:
- AI medication counseling services should prioritize symptom-specific information and user-friendly language.
- Convenient access platforms (e.g., WeChat applets) and engaging content models (e.g., video) are essential.
- Tailoring services to user demographics, like income and education, can enhance adoption and effectiveness.
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