Breaking barriers: harnessing artificial intelligence for a stigma-free, efficient HIV prevention assessment among adults in South Africa
Caroline Govathson, Candice Chetty-Makkan, Ross Greener, Sasha Frade, Dino Rech, Sarah Morris, Yohann Richard, Rouella Mendonca, Natalie Maricich, Lawrence Long, Sophie Pascoe

TL;DR
An AI-powered app called 'Your Choice' helps reduce stigma and improve HIV prevention discussions in South Africa by supporting healthcare providers and patients.
Contribution
The study introduces and evaluates an LLM-powered app for stigma-free HIV prevention discussions and PrEP eligibility assessment.
Findings
The app was highly acceptable and usable by users and healthcare providers.
The app facilitated open discussions on HIV prevention without stigma.
Most healthcare providers trusted the app's summaries and found it useful for personalized care.
Abstract
The quality of interactions between healthcare providers (HCPs) and recipients of care (ROC) are important for assessing HIV vulnerability and determining PrEP eligibility. However, these conversations are often limited because of high HCP workload and time constraints. Conversational agents powered by large language models (LLM) offer a promising solution to support such interactions. We explored the potential of an LLM-powered app prototype “Your Choice” to engage people who have recently tested HIV negative in discussions on HIV prevention and PrEP. We assessed usability, acceptability, feasibility and appropriateness of the LLM-powered app prototype “Your Choice” in identifying HIV vulnerability and summarizing relevant information to support HCPs in designing personalised HIV prevention plans. Using a human-centred design (HCD) approach, we co-developed the “Your Choice” app.…
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Taxonomy
TopicsHIV/AIDS Research and Interventions · Mobile Health and mHealth Applications · Digital Mental Health Interventions
