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An AI-based mHealth Intervention to Improve HIV Testing
Sponsor: Yale University
Summary
The purpose of this study is to develop an artificial intelligence (AI)-chatbot-based mobile health (mHealth) intervention to promote HIV testing in Malaysia.
Official title: Developing an Artificial Intelligence (AI)-Based mHealth Intervention to Improve HIV Testing in Malaysia
Key Details
Gender
MALE
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
296
Start Date
2024-11-26
Completion Date
2026-03-15
Last Updated
2026-01-28
Healthy Volunteers
Yes
Conditions
Interventions
An AI-chatbot-based mHealth intervention
The participants assigned to the intervention group will get access to an AI-chatbot and can interact with the AI-chatbot at any time. In each round of the interactive communication, the chatbot will provide automated personalized messages containing PrEP, mental health, or HIV testing-related information, motivation and skills based on the participants' answers and will continuously update over time.
An attention-chatbot-based mHealth intervention
The participants assigned to the control group will get access to an attention-chatbot and can interact with the attention-chatbot at any time. In each round of the interaction, the chatbot will provide pre-scripted time-attention health education messages to the participants.
Educational materials
the research assistant will manually sent to the participants' phone a piece of educational material and an online survey link every 30 days (at days 30, 60, 90, 120, 150 and 180).
Locations (1)
University of Malaysia
Kuala Lumpur, Malaysia