Background: Mobile technologies are being increasingly developed to support the practice of medicine, nursing, and public health, including HIV testing and prevention. Chatbots using artificial intelligence (AI) are novel mobile health strategies that can promote HIV testing and prevention among men who have sex with men (MSM) in Malaysia, a hard-to-reach population at elevated risk of HIV, yet little is known about the features that are important to this key population. Objective: The aim of this study was to identify the barriers to and facilitators of Malaysian MSM’s acceptance of an AI chatbot designed to assist in HIV testing and prevention in relation to its perceived benefits, limitations, and preferred features among potential users. Methods: We conducted 5 structured web-based focus group interviews with 31 MSM in Malaysia between July 2021 and September 2021. The interviews were first recorded, transcribed, coded, and thematically analyzed using NVivo (version 9; QSR International). Subsequently, the unified theory of acceptance and use of technology was used to guide data analysis to map emerging themes related to the barriers to and facilitators of chatbot acceptance onto its 4 domains: performance expectancy, effort expectancy, facilitating conditions, and social influence. Results: Multiple barriers and facilitators influencing MSM’s acceptance of an AI chatbot were identified for each domain. Performance expectancy (ie, the perceived usefulness of the AI chatbot) was influenced by MSM’s concerns about the AI chatbot’s ability to deliver accurate information, its effectiveness in information dissemination and problem-solving, and its ability to provide emotional support and raise health awareness. Convenience, cost, and technical errors influenced the AI chatbot’s effort expectancy (ie, the perceived ease of use). Efficient linkage to health care professionals and HIV self-testing was reported as a facilitating condition of MSM’s receptiveness to using an AI chatbot to access HIV testing. Participants stated that social influence (ie, sociopolitical climate) factors influencing the acceptance of mobile technology that addressed HIV in Malaysia included privacy concerns, pervasive stigma against homosexuality, and the criminalization of same-sex sexual behaviors. Key design strategies that could enhance MSM’s acceptance of an HIV prevention AI chatbot included an anonymous user setting; embedding the chatbot in MSM-friendly web-based platforms; and providing user-guiding questions and options related to HIV testing, prevention, and treatment. Conclusions: This study provides important insights into key features and potential implementation strategies central to designing an AI chatbot as a culturally sensitive digital health tool to prevent stigmatized health conditions in vulnerable and systematically marginalized populations. Such features not only are crucial to designing effective user-centered and culturally situated mobile health interventions for MSM in Malaysia but also illuminate the importance of incorporating social stigma considerations into health technology implementation strategies.

Background: Chatbots have the potential to increase people’s access to quality health care. However, the implementation of chatbot technology in the health care system is unclear due to the scarce analysis of publications on the adoption of chatbot in health and medical settings. Objective: This paper presents a protocol of a bibliometric analysis aimed at offering the public insights into the current state and emerging trends in research related to the use of chatbot technology for promoting health. Methods: In this bibliometric analysis, we will select published papers from the databases of CINAHL, IEEE Xplore, PubMed, Scopus, and Web of Science that pertain to chatbot technology and its applications in health care. Our search strategy includes keywords such as “chatbot,” “virtual agent,” “virtual assistant,” “conversational agent,” “conversational AI,” “interactive agent,” “health,” and “healthcare.” Five researchers who are AI engineers and clinicians will independently review the titles and abstracts of selected papers to determine their eligibility for a full-text review. The corresponding author (ZN) will serve as a mediator to address any discrepancies and disputes among the 5 reviewers. Our analysis will encompass various publication patterns of chatbot research, including the number of annual publications, their geographic or institutional distribution, and the number of annual grants supporting chatbot research, and further summarize the methodologies used in the development of health-related chatbots, along with their features and applications in health care settings. Software tool VOSViewer (version 1.6.19; Leiden University) will be used to construct and visualize bibliometric networks. Results: The preparation for the bibliometric analysis began on December 3, 2021, when the research team started the process of familiarizing themselves with the software tools that may be used in this analysis, VOSViewer and CiteSpace, during which they consulted 3 librarians at the Yale University regarding search terms and tentative results. Tentative searches on the aforementioned databases yielded a total of 2340 papers. The official search phase started on July 27, 2023. Our goal is to complete the screening of papers and the analysis by February 15, 2024. Conclusions: Artificial intelligence chatbots, such as ChatGPT (OpenAI Inc), have sparked numerous discussions within the health care industry regarding their impact on human health. Chatbot technology holds substantial promise for advancing health care systems worldwide. However, developing a sophisticated chatbot capable of precise interaction with health care consumers, delivering personalized care, and providing accurate health-related information and knowledge remain considerable challenges. This bibliometric analysis seeks to fill the knowledge gap in the existing literature on health-related chatbots, entailing their applications, the software used in their development, and their preferred functionalities among users. International Registered Report Identifier (IRRID): PRR1-10.2196/54349

Background: Men who have sex with men (MSM) in Malaysia are disproportionately affected by HIV. Pre-exposure prophylaxis (PrEP) is an evidence-based HIV prevention strategy; yet, uptake remains low among Malaysian MSM, who have a limited understanding of barriers to PrEP. Methods: We employed the nominal group technique (NGT), a structured mixed-methods strategy to understand the barriers and facilitators to PrEP use among Malaysian MSM, combined with a qualitative focus group. Six virtual focus group sessions, three among MSM (n = 20) and three among stakeholders (n = 16), were conducted using a video-conferencing platform. Rank-ordering of barriers from NGT was recorded, and thematic analysis was conducted for content. Results: Similar barriers were reported by MSM and community stakeholders, with aggregated costs associated with PrEP care (e.g., consultation with a clinician, medication, laboratory testing) being the greatest barrier, followed by limited knowledge and awareness of PrEP. Additionally, the lack of access to PrEP providers, the complex clinical protocol for PrEP initiation and follow-up, and social stigma undermined PrEP delivery. Qualitative discussions identified potential new strategies to overcome these barriers, including expanded outreach efforts to reach hard-to-reach MSM, a ‘one-stop’ delivery model for PrEP services, a patient-centered decision aid to guide PrEP uptake, and easy access to LGBT-friendly PrEP providers. Conclusion: Current barriers may be overcome through governmental subsidy for PrEP and evidence-informed shared decision aids to support both MSM and PrEP providers.

The 18-item Sport Motivation Scale (SMS-II) is one of the most-utilised scales measuring athletes’ motivation and its psychometric properties. However, we found no Malay version used to examine the Malaysian multi-ethnic population. Thus, the study aimed to translate and validate the SMS-II into the Malay version using confirmatory factor analysis. A total of 436 (16.44 ± 1.22) state athletes were asked to complete the SMS-II Malay version, which utilised the forward–backwards translation method. The results showed an acceptable fit with the data (CFI = 0.906, SRMR = 0.064; RMSEA = 0.056) and internal consistency, with a Cronbach’s alpha value that exceeded 0.50, which supported its usage for the assessment of motivation among the multi-ethnic Malaysian athletes. The Cronbach’s alpha values of all the factors were satisfactory, except for introjected regulation. Thus, further studies are needed to improve the reliability of such factors. Nonetheless, the Malay version of SMS-II was found to be valid and reliable for assessing the level of motivation of the multi-ethnic Malaysian athletes.

Introduction: High‐resolution manometry (HRM) allows assessment of esophagogastric junction (EGJ) disruption. While type 3 EGJ predicts definitive gastroesophageal reflux disease (GERD), type 2 EGJ is less clearly implicated in GERD pathogenesis. This study aimed to characterize physiologic findings in type 2 EGJ to determine if the HRM‐based Milan Score can define GERD within type 2 EGJ. Methods: 535 patients with suspected GERD who underwent HRM and reflux monitoring were retrospectively analyzed. Clinical, HRM, and reflux study data were compared between the EGJ morphology subtypes, with objective GERD defined according to Lyon Consensus 2.0. The Milan Score, a novel metric that integrates ineffective esophageal motility, EGJ‐contractile integral, EGJ morphology, and straight leg raise response, was abnormal when ≥ 137 (risk rate 50% for GERD). Receiver operating characteristic (ROC) curve analysis was performed to assess the accuracy of the Milan Score to predict objective GERD. Results: Type 3 EGJ was associated with the highest rate of objective GERD, followed by type 2 and type 1 EGJ ( p < 0.001), with a corresponding stepwise increase in AET from type 1 to 3 EGJ (p < 0.001). Type 2 EGJ with Milan Score < 137 resembled type 1 EGJ (objective GERD in 23.6% vs. 33.2%, p = 0.09), and type 2 EGJ with score ≥ 137 resembled type 3 EGJ (objective GERD in 88.2% vs. 78.8%, p = 0.11). On ROC analysis, the Milan Score had an area under the curve of 0.858. Conclusion: While type 2 EGJ includes varying GERD severity, the Milan Score can segregate patients at risk for objective GERD.

Background: Nab-paclitaxel is formulated to address several limitations of paclitaxel. Methods: A systematic review was done of several databases and a meta-analysis with a random-effects model was... Graphical abstract A systematic review and meta-analysis estimates the efficacy and safety of nab-paclitaxel in metastatic gastric cancer.