An AI-based mHealth Intervention to Improve HIV Testing
Developing an Artificial Intelligence (AI)-Based mHealth Intervention to Improve HIV Testing in Malaysia
Yale University
296 participants
Nov 26, 2024
INTERVENTIONAL
Conditions
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.
Eligibility
Inclusion Criteria4
- Cis-gender male
- condomless sex with men in the past 6 months
- HIV status unknown or previously tested negative
- speaks Bahasa Malaysia or English.
Exclusion Criteria3
- Does not have a smartphone
- HIV status previously tested positive
- cannot speak Bahasa Malaysia or English
Interventions
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.
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.
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)
View Full Details on ClinicalTrials.gov
For the most up-to-date information, visit the official listing.
NCT05335096