A qualitative study assessing the acceptability of a multi-agent AI Chatbot for providing HIV and mental health support among men who have sex with men and transgender women in KwaZulu-Natal, South Africa
AI chatbots offer a promising, scalable approach to supporting mental health among key populations in HIV care.
Authors
- Alastair van Heerden (ORCID: https://orcid.org/0000-0003-2530-6885)
- Hilton Humphries (ORCID: https://orcid.org/0000-0001-8503-4127)
- Elise van der Elst (ORCID: https://orcid.org/0000-0001-5106-0466)
- Jacqueline Pienaar (ORCID: https://orcid.org/0000-0002-6252-4534)
- Lindani Msimango (ORCID: https://orcid.org/0000-0002-0009-0187)
- EJ Sanders
- Zimasa Tshawe
- Kurt Ferreira
- Natasha Gcelu
- Don Operario
Institutions
- Human Sciences Research Council (ZA)
- Emory Healthcare (US)
- Emory University (US)
- University of Applied Sciences Worms (DE)
- University of Cape Town (ZA)
- University of Applied Sciences Utrecht (NL)
- Utrecht University (NL)
- University of Oxford (GB)
- Syntek Technologies (United States) (US)
- Aurum Institute (ZA)
- Umkhuseli Innovation and Research Management (ZA)
- University of KwaZulu-Natal (ZA)
Publication Details
- Journal
- Transactions of the Royal Society of Tropical Medicine and Hygiene
- Published
- 2025-12-19
- DOI
- https://doi.org/10.1093/trstmh/traf143
- Primary Topic
- Digital Mental Health Interventions
- Type
- article
- Field-Weighted Citation Impact
- 0.00