The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
“Let's chat!” Piloting a digital chatbot for HIV prevention among cisgender women and transgender men in Nigeria
Abstract
Awareness and uptake of HIV pre-exposure prophylaxis (PrEP), a highly efficacious medication for HIV prevention, remains low in many sub-Saharan African countries. This study explored the acceptability and feasibility of an HIV prevention chatbot tailored for cisgender women and transgender men in Lagos, Nigeria. The chatbot was developed and implemented in the Nigerian healthcare context using participatory approaches engaging HIV healthcare providers and representatives from the target populations to ensure that the content was appropriate, comprehensible, and non-stigmatizing. The chatbot included information about PrEP, HIV risk/ vulnerabilities, and self-assessment guidelines. The pilot was conducted among 150 participants (132 cisgender women and 18 transgender men) recruited at public health facilities and community health clinics. The chatbot was well-received by clients and healthcare providers and has the potential for rapid scale-up to facilitate PrEP uptake among HIV vulnerable populations. Participants reported the chatbot was easy to understand (97%), a good way to learn health information (99%), and that they would recommend it to others (96%). Participants appreciated the confidentiality of the chatbot, the conversational prompts and offered suggestions to make the chatbot more accessible and user-friendly. Most participants (92%) reported that they learned new information about HIV from the chatbot.
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Mathur et al. (2025) co-developed a PrEP information chatbot with providers and community representatives and revised its language about sexual partners so that it would not stigmatize transgender men.
“Mathur et al. (2025) co-developed a PrEP information chatbot with providers and community representatives and revised its language about sexual partners so that it would not stigmatize transgender men.”
From Artificial intelligence and immersive technologies for LGBTQ+ youth: a narrative review (2026) · cites this paper as Mathur et al. (2025)
Among the 150 clinic attendees who used the chatbot, transgender men described it as safer than speaking to staff precisely because a chatbot could not judge them.
“Among the 150 clinic attendees who used it, transgender men described it as safer than speaking to staff precisely because a chatbot could not judge them.”
From Artificial intelligence and immersive technologies for LGBTQ+ youth: a narrative review (2026) · cites this paper as Mathur et al. (2025)
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Granja, C., Janssen, W., & Johansen, M. A. (2018) · Journal of Medical Internet Research · doi:10.2196/10235 · Cited by 578 · cited 1×
“Digital health technologies hold significant promise; however, their widespread adoption remains limited due to several challenges related to usability, integration into existing workflows, and perceived values to users (Granja et al., 2018).”
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Artificial intelligence and immersive technologies for LGBTQ+ youth: a narrative review
Shekarchi, R., Eleuteri, S., Saladino, V., Calaresi, D., Giordano, F., & Prunas, A. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.2002054
Metadata
- Authors
- Mathur, S., Eromhonsele, A. F., Vallarino, Z., Savel, C., Oche, E., Ononye, O., Shoyemi, E., & Tun, W.
- Affiliations
- Population Council
- Centre for Population Health Initiatives
- ORCID
- Mathur, Sanyukta
- Venue
- AIDS Care
- Publisher
- Informa UK Limited
- Published
- 2025-02-27
- Volume
- 37
- Issue
- 6
- Pages
- 1015-1025
- ISSN
- 0954-0121
- 1360-0451
- Cited by
- 9
- References
- 1
- Language
- en
- Funders
- Gilead Sciences (IN-US-412-6437)
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