An AI-based mHealth Intervention to Improve HIV Testing

January 26, 2026 updated by: Yale University

Developing an Artificial Intelligence (AI)-Based mHealth Intervention to Improve HIV Testing in Malaysia

The purpose of this study is to develop an artificial intelligence (AI)-chatbot-based mobile health (mHealth) intervention to promote HIV testing in Malaysia.

Study Overview

Detailed Description

A randomized controlled trial (RCT) will be conducted in Malaysia to assess the efficacy of an AI-chatbot-based mHealth intervention versus treatment as usual (TAU) with HIV testing as the primary outcome. The primary outcome will be the proportion of participants who get tested within 180 days.

Participants will be randomized to the chatbot group and TAU group. Participants in 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 pre-exposure prophylaxis (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 TAU 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.

In addition to the above interventions, 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 primary outcome of HIV testing will be collected through the survey.

Study Type

Interventional

Enrollment (Estimated)

296

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

      • Kuala Lumpur, Malaysia, 50603
        • Recruiting
        • University of Malaysia

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • 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 Criteria:

  • Does not have a smartphone
  • HIV status previously tested positive
  • cannot speak Bahasa Malaysia or English

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Screening
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Intervention group
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 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).
Active Comparator: TAU group
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 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.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Number of participants that get tested for HIV within 180 days
Time Frame: up to 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

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Principal Investigator: Zhao Ni, PhD, Yale University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

November 26, 2024

Primary Completion (Estimated)

March 15, 2026

Study Completion (Estimated)

March 15, 2026

Study Registration Dates

First Submitted

April 12, 2022

First Submitted That Met QC Criteria

April 12, 2022

First Posted (Actual)

April 19, 2022

Study Record Updates

Last Update Posted (Actual)

January 28, 2026

Last Update Submitted That Met QC Criteria

January 26, 2026

Last Verified

January 1, 2026

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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