An AI-based mHealth Intervention to Improve HIV Testing
NCT05335096 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 296
Last updated 2026-01-28
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.
Conditions
- HIV Infections
Interventions
- BEHAVIORAL
-
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.
- BEHAVIORAL
-
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.
- BEHAVIORAL
-
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).
Sponsors & Collaborators
-
University of Malaya
collaborator OTHER -
Fogarty International Center of the National Institute of Health
collaborator NIH -
Yale University
lead OTHER
Principal Investigators
-
Zhao Ni, PhD · Yale University
Study Design
- Allocation
- RANDOMIZED
- Purpose
- SCREENING
- Masking
- SINGLE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Sex
- MALE
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2024-11-26
- Primary Completion
- 2026-03-15
- Completion
- 2026-03-15
Countries
- Malaysia
Study Locations
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