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

The first AI-based Chatbot to promote HIV self-management: A mixed methods usability study

BACKGROUND

We developed MARVIN, an artificial intelligence (AI)-based chatbot that provides 24/7 expert-validated information on self-management-related topics for people with HIV. This study assessed (1) the feasibility of using MARVIN, (2) its usability and acceptability, and (3) four usability subconstructs (perceived ease of use, perceived usefulness, attitude towards use, and behavioural intention to use).

METHODS

In a mixed-methods study conducted at the McGill University Health Centre, enrolled participants were asked to have 20 conversations within 3 weeks with MARVIN on predetermined topics and to complete a usability questionnaire. Feasibility, usability, acceptability, and usability subconstructs were examined against predetermined success thresholds. Qualitatively, randomly selected participants were invited to semi-structured focus groups/interviews to discuss their experiences with MARVIN. Barriers and facilitators were identified according to the four usability subconstructs.

RESULTS

From March 2021 to April 2022, 28 participants were surveyed after a 3-week testing period, and nine were interviewed. Study retention was 70% (28/40). Mean usability exceeded the threshold (69.9/68), whereas mean acceptability was very close to target (23.8/24). Ratings of attitude towards MARVIN's use were positive (+14%), with the remaining subconstructs exceeding the target (5/7). Facilitators included MARVIN's reliable and useful real-time information support, its easy accessibility, provision of convivial conversations, confidentiality, and perception as being emotionally safe. However, MARVIN's limited comprehension and the use of Facebook as an implementation platform were identified as barriers, along with the need for more conversation topics and new features (e.g., memorization).

CONCLUSIONS

The study demonstrated MARVIN's global usability. Our findings show its potential for HIV self-management and provide direction for further development.

Digital HIV self-testing as an exemplar: a perspective on benefits, challenges, and opportunities

INTRODUCTION

Digital human immunodeficiency virus self-testing (HIVST) leverages digital supports, enhancing accessibility, privacy, and early detection of HIV, empowering individuals to manage their HIV status and facilitating timely linkage to care. These advancements contribute to reduced HIV transmission and thereby lead to improved health outcomes.

AREAS COVERED

This perspective examines the current landscape of digital HIVST strategies, highlighting challenges that must be addressed and opportunities that are presented as the field evolves.

EXPERT OPINION

Implementing advances in digital HIVST requires a unified digital network architecture that integrates proven tools (digital supports) within the World Health Organization's One Health Agenda. This includes strategies effective in diverse settings, supported by evolving governance and ethics frameworks that ensure data safety and privacy. Although data on linkages to care are strong, digital HIVST strategies may need further field validation, especially in low-income countries. Key challenges include systems integration, data privacy safeguards, and implementation of proven digital supports. Embracing digital readers, machine learning solutions, chatbots, and wearable solutions can improve outcomes that translate to significant public health benefits in the context of HIV elimination. Investing in digital technologies and integrating digital HIVST into HIV prevention and care programs can enable progress toward UNAIDS elimination targets.

Clients' and providers' perspectives in informing a digital health intervention to improve linkage to care after Index HIV self-testing in Hai and Moshi Districts, Tanzania

BACKGROUND

Digital health interventions have the potential to improve linkage to care after HIV self-testing (HIVST). This study aimed to understand clients' and providers' perceptions of benefits, and barriers of a digital health intervention designed to improve linkage to care after HIV self-testing in Tanzania.

METHODS

This exploratory qualitative research study was conducted in Hai and Moshi, districts in Kilimanjaro region, Tanzania. Four health facilities were selected based on their involvement in an HIVST pilot program implemented by Elizabeth Glassier Pediatric AIDS Foundation (EGPAF) Tanzania through the USAID funded program. The study included female index clients and their partners, and healthcare providers at the healthcare facilities. We used a semi-structured interview guide with open-ended questions for data collection. Data collection was conducted from 16th January 2023 to 3rd February 2023. Thematic analysis of the qualitative data was conducted, guided by the Health Belief Model (HBM), and results were developed in collaboration with the community partners.

RESULTS

A total of 42 participants were included in the study, comprising 9 male clients, 17 female index clients, and 16 health care workers (HCWs) (4 male and 12 female) who were involved in delivering HIVST services. The study's findings revealed mixed feelings about the use of a digital health intervention. Majority of participants perceived digital health as a valuable intervention for enhancing linkage to care, improved health outcomes, improved communication with healthcare workers, and increased privacy. Therefore, they supported scale-up of a digital health intervention. Participants also expressed that the potential benefits of a digital health intervention include the convenience of accessing healthcare services from the comfort of their homes or any location. However, a few participants expressed concerns about potential risks associated with sending health-related text messages. They feared that recipients might not be in a safe space, leading to stigma and avoidance of engagement. A few female participants expressed concerns about confidentiality breaches, particularly regarding shared phones with family or friends. Fear of being judged or misunderstood by others could deter them from reading or acting upon these messages. Most participants recommended tailored strategies that prioritize confidentiality and trust. Recognizing these psychological aspects is vital for customizing digital health interventions to effectively address participants' concerns.

CONCLUSIONS

Digital health interventions may improve the linkage of HIV self-testers to care. Recommendations include personalized and culturally relevant communication and technical accessibility to make interventions effective and inclusive. This study provides valuable insights for designing patient-centered interventions for HIV care and treatment.

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.