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Comprehensive & Cost Effective Laboratory Monitoring of HIV/AIDS: an African Role Model

Comprehensive & Cost Effective Laboratory Monitoring of HIV/AIDS: an African Role Model

Published on: October 31, 2010

Chatbot-Delivered Real-Time Support to Improve HIV Self-Testing Rates: A Randomized Clinical Trial.

Siyu Chen¹, Fuk-Yuen Yu¹, Yuan Fang²

¹Centre for Health Behaviours Research, JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong SAR, China.

JAMA Network Open

|November 24, 2025

Summary

This summary is machine-generated.

A new HIV self-testing chatbot service (HIVST-chatbot) proved noninferior to human-supported services (HIVST-OIC) for increasing HIV testing uptake and counseling among men who have sex with men (MSM). This chatbot offers a cost-effective alternative for HIV prevention.

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Area of Science:

Public Health
Digital Health
HIV Prevention

Background:

HIV self-testing with online human support (HIVST-OIC) is effective for men who have sex with men (MSM) but resource-intensive.
Developing scalable and accessible HIV testing interventions is crucial for public health.

Purpose of the Study:

To evaluate if a novel HIV self-testing service using a chatbot (HIVST-chatbot) is noninferior to HIVST-OIC in boosting HIVST uptake and counseling support among MSM.
To assess the cost-effectiveness of the HIVST-chatbot intervention.

Main Methods:

A partially blinded, parallel-group, noninferiority randomized clinical trial was conducted in Hong Kong.
531 Chinese-speaking MSM were randomized to either HIVST-chatbot or HIVST-OIC groups, receiving free HIVST kits and standard counseling.
Intention-to-treat (ITT) and complete case analyses were performed to compare primary outcomes: HIVST uptake and counseling support.

Main Results:

The HIVST-chatbot was noninferior to HIVST-OIC in increasing HIVST uptake (81.2% vs 85.7%) and significantly improved counseling support rates (91.2% vs 62.6%).
The chatbot intervention demonstrated greater cost-effectiveness compared to the human-supported model.
Primary outcomes were validated by the research team at month 6.

Conclusions:

The HIVST-chatbot is a viable and effective alternative to the established HIVST-OIC service for MSM.
This digital health approach offers a scalable and potentially more cost-effective strategy for HIV prevention and testing in MSM populations.
Further implementation of chatbot-supported HIVST can enhance public health efforts in HIV control.