An AI-based mHealth Intervention to Improve HIV Testing
Developing an Artificial Intelligence (AI)-Based mHealth Intervention to Improve HIV Testing in Malaysia
3 other identifiers
interventional
296
1 country
1
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable hiv-infections
Started Nov 2024
Shorter than P25 for not_applicable hiv-infections
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
April 12, 2022
CompletedFirst Posted
Study publicly available on registry
April 19, 2022
CompletedStudy Start
First participant enrolled
November 26, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 15, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
March 15, 2026
CompletedJanuary 28, 2026
January 1, 2026
1.3 years
April 12, 2022
January 26, 2026
Conditions
Outcome Measures
Primary Outcomes (1)
Number of participants that get tested for HIV within 180 days
The number of participants who get tested for HIV within 180 days assessed by an online survey link that will be manually sent by the research assistant to the participant's phone every 30 days, up to 180 days. The survey consists of a question asking if the participant has been tested for HIV in the last 30 days with an answer of yes or no.
up to 180 days
Study Arms (2)
Intervention group
EXPERIMENTALTAU group
ACTIVE COMPARATORInterventions
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).
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.
Eligibility Criteria
You may qualify if:
- Cis-gender male
- condomless sex with men in the past 6 months
- HIV status unknown or previously tested negative
- speaks Bahasa Malaysia or English.
You may not qualify if:
- Does not have a smartphone
- HIV status previously tested positive
- cannot speak Bahasa Malaysia or English
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Fogarty International Center of the National Institute of Healthcollaborator
- Yale Universitylead
- University of Malayacollaborator
Study Sites (1)
University of Malaysia
Kuala Lumpur, 50603, Malaysia
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Zhao Ni, PhD
Yale University
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- PARTICIPANT
- Purpose
- SCREENING
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
April 12, 2022
First Posted
April 19, 2022
Study Start
November 26, 2024
Primary Completion
March 15, 2026
Study Completion
March 15, 2026
Last Updated
January 28, 2026
Record last verified: 2026-01
Data Sharing
- IPD Sharing
- Will not share