Formative evaluation of the acceptance of HIV prevention Artificial Intelligence chatbots by Black gay, bisexual, and other men who have sex with men in the Southern United States: Focus group study.

IF 7.7
PLOS digital health Pub Date : 2025-06-04 eCollection Date: 2025-06-01 DOI:10.1371/journal.pdig.0000891
Jackson Jr Nforbewing Ndenkeh, Gloria A Aidoo-Frimpong, LaRon E Nelson, Mary L Peng, Vimala Balakrishnan, Victoria Barnhart, Bernard Davis, James Donté Prayer, Alvan Quamina, Zhao Ni
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Abstract

Gay, bisexual, and other men who have sex with men (MSM) account for 60% of new HIV infections among Black Americans in the Southern United States (U.S.). Despite recommendations for frequent HIV testing and daily pre-exposure prophylaxis (PrEP) uptake, there remains a gap in PrEP uptake among these Black MSM in the Southern U.S. Artificial Intelligence (AI) chatbots have the potential to boost users' health awareness and medication adherence. This study aims to evaluate Black MSM' perspectives on the challenges to the uptake of PrEP and identify Black MSM-preferred chatbot functionalities and platforms for embedding AI chatbots. Five focus group discussions were conducted (February - March 2024) among 21 Black MSM in the Southern U.S. Interview transcripts were thematically analyzed according to challenges to PrEP uptake and the four domains of the Unified Theory of Acceptance and Use of Technology (UTAUT): performance expectancy, effort expectancy, facilitating conditions, and social influence. Black MSM identified lack of awareness or insufficient information, stigmatizations of sexuality, HIV, and PrEP, as well as concerns with side effects, and low self-perceived HIV vulnerability as the major challenges they faced in PrEP uptake. Moreover, chatbots were perceived as an acceptable option for delivering PrEP education (performance expectancy), especially with accessible, user-friendly interfaces (effort expectancy). Other desired features included simplifying access to PrEP information, incorporating culturally sensitive algorithms, upholding anonymity (social influence), and linking users to healthcare providers and resources (facilitating condition). The study highlights the multifaceted considerations for the adoption of AI chatbots as an HIV-prevention intervention among Black MSM in the Southern U.S.

美国南部黑人同性恋、双性恋和其他男男性行为者对艾滋病预防人工智能聊天机器人接受程度的形成性评估:焦点小组研究。
同性恋、双性恋和其他与男性发生性行为的男性(MSM)占美国南部黑人新感染艾滋病毒的60%。尽管建议经常进行艾滋病毒检测和每日接触前预防(PrEP),但在美国南部的这些黑人男男性接触者中,PrEP的使用仍然存在差距。人工智能(AI)聊天机器人有可能提高用户的健康意识和药物依从性。本研究旨在评估黑人男男性接触者对采用PrEP的挑战的看法,并确定黑人男男性接触者首选的聊天机器人功能和平台,以嵌入人工智能聊天机器人。在美国南部的21名黑人男男性接触者中进行了五次焦点小组讨论(2024年2月至3月),访谈记录根据PrEP接受的挑战和技术接受和使用统一理论(UTAUT)的四个领域:绩效预期、努力预期、促进条件和社会影响进行了主题分析。黑人男男性接触者认为,缺乏意识或信息不足,对性行为、艾滋病毒和PrEP的污名化,以及对副作用的担忧,以及对艾滋病毒易感性的自我认知较低,是他们在接受PrEP方面面临的主要挑战。此外,聊天机器人被认为是提供PrEP教育(绩效预期)的可接受选择,特别是具有可访问的、用户友好的界面(努力预期)。其他期望的功能包括简化对PrEP信息的访问,结合文化敏感算法,维护匿名性(社会影响),并将用户与医疗保健提供者和资源联系起来(促进条件)。该研究强调了在美国南部黑人男同性恋者中采用人工智能聊天机器人作为艾滋病预防干预措施的多方面考虑
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