The Feasibility and Acceptability of an mHealth Conversational Agent Designed to Support HIV Self-testing in South Africa: Cross-sectional Study

Roles, Users, Benefits, and Limitations of Chatbots in Health Care: Rapid Review

BACKGROUND

Chatbots, or conversational agents, have emerged as significant tools in health care, driven by advancements in artificial intelligence and digital technology. These programs are designed to simulate human conversations, addressing various health care needs. However, no comprehensive synthesis of health care chatbots' roles, users, benefits, and limitations is available to inform future research and application in the field.

OBJECTIVE

This review aims to describe health care chatbots' characteristics, focusing on their diverse roles in the health care pathway, user groups, benefits, and limitations.

METHODS

A rapid review of published literature from 2017 to 2023 was performed with a search strategy developed in collaboration with a health sciences librarian and implemented in the MEDLINE and Embase databases. Primary research studies reporting on chatbot roles or benefits in health care were included. Two reviewers dual-screened the search results. Extracted data on chatbot roles, users, benefits, and limitations were subjected to content analysis.

RESULTS

The review categorized chatbot roles into 2 themes: delivery of remote health services, including patient support, care management, education, skills building, and health behavior promotion, and provision of administrative assistance to health care providers. User groups spanned across patients with chronic conditions as well as patients with cancer; individuals focused on lifestyle improvements; and various demographic groups such as women, families, and older adults. Professionals and students in health care also emerged as significant users, alongside groups seeking mental health support, behavioral change, and educational enhancement. The benefits of health care chatbots were also classified into 2 themes: improvement of health care quality and efficiency and cost-effectiveness in health care delivery. The identified limitations encompassed ethical challenges, medicolegal and safety concerns, technical difficulties, user experience issues, and societal and economic impacts.

CONCLUSIONS

Health care chatbots offer a wide spectrum of applications, potentially impacting various aspects of health care. While they are promising tools for improving health care efficiency and quality, their integration into the health care system must be approached with consideration of their limitations to ensure optimal, safe, and equitable use.

Testing the Feasibility and Acceptability of Using an Artificial Intelligence Chatbot to Promote HIV Testing and Pre-Exposure Prophylaxis in Malaysia: Mixed Methods Study

BACKGROUND

The HIV epidemic continues to grow fastest among men who have sex with men (MSM) in Malaysia in the presence of stigma and discrimination. Engaging MSM on the internet using chatbots supported through artificial intelligence (AI) can potentially help HIV prevention efforts. We previously identified the benefits, limitations, and preferred features of HIV prevention AI chatbots and developed an AI chatbot prototype that is now tested for feasibility and acceptability.

OBJECTIVE

This study aims to test the feasibility and acceptability of an AI chatbot in promoting the uptake of HIV testing and pre-exposure prophylaxis (PrEP) in MSM.

METHODS

We conducted beta testing with 14 MSM from February to April 2022 using Zoom (Zoom Video Communications, Inc). Beta testing involved 3 steps: a 45-minute human-chatbot interaction using the think-aloud method, a 35-minute semistructured interview, and a 10-minute web-based survey. The first 2 steps were recorded, transcribed verbatim, and analyzed using the Unified Theory of Acceptance and Use of Technology. Emerging themes from the qualitative data were mapped on the 4 domains of the Unified Theory of Acceptance and Use of Technology: performance expectancy, effort expectancy, facilitating conditions, and social influence.

RESULTS

Most participants (13/14, 93%) perceived the chatbot to be useful because it provided comprehensive information on HIV testing and PrEP (performance expectancy). All participants indicated that the chatbot was easy to use because of its simple, straightforward design and quick, friendly responses (effort expectancy). Moreover, 93% (13/14) of the participants rated the overall chatbot quality as high, and all participants perceived the chatbot as a helpful tool and would refer it to others. Approximately 79% (11/14) of the participants agreed they would continue using the chatbot. They suggested adding a local language (ie, Bahasa Malaysia) to customize the chatbot to the Malaysian context (facilitating condition) and suggested that the chatbot should also incorporate more information on mental health, HIV risk assessment, and consequences of HIV. In terms of social influence, all participants perceived the chatbot as helpful in avoiding stigma-inducing interactions and thus could increase the frequency of HIV testing and PrEP uptake among MSM.

CONCLUSIONS

The current AI chatbot is feasible and acceptable to promote the uptake of HIV testing and PrEP. To ensure the successful implementation and dissemination of AI chatbots in Malaysia, they should be customized to communicate in Bahasa Malaysia and upgraded to provide other HIV-related information to improve usability, such as mental health support, risk assessment for sexually transmitted infections, AIDS treatment, and the consequences of contracting HIV.

Chatbots for HIV Prevention and Care: a Narrative Review

PURPOSE OF REVIEW

To explore the intersection of chatbots and HIV prevention and care. Current applications of chatbots in HIV services, the challenges faced, recent advancements, and future research directions are presented and discussed.

RECENT FINDINGS

Chatbots facilitate sensitive discussions about HIV thereby promoting prevention and care strategies. Trustworthiness and accuracy of information were identified as primary factors influencing user engagement with chatbots. Additionally, the integration of AI-driven models that process and generate human-like text into chatbots poses both breakthroughs and challenges in terms of privacy, bias, resources, and ethical issues. Chatbots in HIV prevention and care show potential; however, significant work remains in addressing associated ethical and practical concerns. The integration of large language models into chatbots is a promising future direction for their effective deployment in HIV services. Encouraging future research, collaboration among stakeholders, and bold innovative thinking will be pivotal in harnessing the full potential of chatbot interventions.

Digital Interventions to Enhance PrEP Uptake and Adherence Through Stigma Reduction

PURPOSE OF REVIEW

Although pre-exposure prophylaxis (PrEP) is effective for reducing risk of HIV transmission, stigma persists as a barrier to HIV prevention. Digital technologies present opportunities to access hard-to-reach populations and increase the efficiency of established interventions. This review examines current digital interventions addressing stigma to improve PrEP-related outcomes.

RECENT FINDINGS

Digital technologies are increasingly used for HIV prevention and include a wide range of formats. Recent interventions focused on stigma and PrEP tend to engage mobile phone-related technology and focus on younger populations with particular attention to men who have sex with men and transgender women. Digital interventions that address stigma are promising for improving PrEP-related outcomes. No single technology currently demonstrates consistent superiority. Limited access to PrEP and heightened stigma in under-resourced countries present challenges for interventions supporting diverse communities. Further research should examine how digital interventions can reduce stigma beyond the individual level to enhance PrEP use and explore opportunities to improve and integrate approaches to stigma measurement.

Developing the Speaking Out and Allying Relationships Intervention on Videoconference for HIV-Positive GBMSM in Eastern Cape, South Africa

In South Africa, HIV prevalence for gay, bisexual, and men who have sex with men (GBMSM) is as high as 49.5%, yet only 25.7% are taking treatment, resulting in transmission risk between partners and the need for dyadic interventions for men in relationships. Through our preliminary research, we identified the evidence-based intervention Healthy Relationships (HR)-an HIV risk assessment and status disclosure intervention for those in relationships-to be tailored into videoconference format for partnered HIV-positive GBMSM in South Africa. The HR adaptation, called SOAR (Speaking Out & Allying Relationships), applied a human-centered design approach. In-depth interviews were conducted with HIV-positive GBMSM (N = 15) to refine intervention preferences with results used to establish a beta SOAR. A trained interventionist conducted SOAR functionality (n = 6) and usability (n = 7) tests with separate invited groups composed of the original participants interviewed. Field logs, focus group discussions, and a study-specific preference survey were administered. Thematic analysis and descriptive statistics were completed with a convergent analytical approach used to understand usability. Overall experience of GBMSM in SOAR was good (69%) or excellent (31%). More than half of the participants (61%) rated using videoconferencing for SOAR as good, with 38% rating it as fair. All participants stated that SOAR was understandable and satisfactory with willingness to recommend it to other GBMSM. This adaptation approach was effective, and the resultant SOAR intervention has the potential to improve individual coping and HIV communication skills with partners to engage with biomedical prevention and in turn support GBMSM couples.