AB038. Digital health equity in action: evaluating an AI chatbot for HIV prevention in Malaysian men who have sex with men (MSM)
Abstract

AB038. Digital health equity in action: evaluating an AI chatbot for HIV prevention in Malaysian men who have sex with men (MSM)

Rumana Saifi1, Iskandar Azwa2, Ni Zhao3

1Department of Social and Preventive Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia; 2Department of Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia; 3Yale School of Nursing, Yale University, Orange, CT, USA

Background: In Malaysia, human immunodeficiency virus (HIV) transmission among men who have sex with men (MSM) is rapidly increasing, fueled by persistent stigma, discrimination, and limited access to nonjudgmental healthcare. Leveraging artificial intelligence (AI) chatbots may offer innovative, scalable solutions to promote HIV prevention services in these hard-to-reach populations. This study aimed to evaluate the usability of a web-based AI chatbot embedded within the MYHIV365.com platform to promote HIV testing and related services among MSM in Malaysia.

Methods: An observational study was conducted from August 2023 to March 2024 among 334 MSM, recruited through community outreach and social networking apps. The AI chatbot provided information on HIV testing, pre-exposure prophylaxis (PrEP), mental health, and MSM-friendly clinics, and facilitated the ordering of HIV self-testing kits. Usability was assessed using predefined metrics, including interaction time, speech bubble count, topic selection, satisfaction score, and unanswered queries. Data were analyzed using descriptive statistics in R software.

Results: The chatbot recorded 393 interactions. Most users (91%) interacted once, with interaction times ranging from under 1 to 31 minutes. The chatbot facilitated 260 HIV self-test kit orders and provided clinic details in 93 interactions. Satisfaction was high (mean score =1.3/1.1; 92.5% thumbs-up), and the mean recommendation score was 8.0/10. While the chatbot successfully answered 92% of queries, 8% remained unaddressed due to algorithm limitations.

Conclusions: The AI chatbot demonstrated high usability and potential to complement HIV prevention efforts in Malaysia. To maximize its impact, future iterations must integrate more sophisticated AI models for personalized responses and build trust through stronger privacy protections. Linking the chatbot with health systems is essential for reducing stigma and increasing healthcare access for MSM.

Keywords: Artificial intelligence (AI); human immunodeficiency virus (HIV); men who have sex with men (MSM); chatbot; health care

Footnote

Conflicts of Interest: The authors have no conflicts of interest to declare.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the noncommercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.

doi: 10.21037/jphe-26-ab038
Cite this abstract as: Saifi R, Azwa I, Zhao N. AB038. Digital health equity in action: evaluating an AI chatbot for HIV prevention in Malaysian men who have sex with men (MSM). J Public Health Emerg 2026;10:AB038.

Article Options

Download Citation

Share