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Background: Older adults living with HIV face challenges accessing regular geriatric care, and while virtual care services could offer a solution, they may come with limitations.
Objective: This study aimed to co-design a culturally appropriate virtual care model tailored to older adults' needs using the experience-based co-design methodology.
Methods: We used a qualitative, experience-based co-design approach with 19 older adults living with HIV. The process involved 3 phases: identifying needs through interviews and questionnaires, codeveloping a care model prototype through focus groups and a workshop, and refining the model using feedback from a world café format. Data were analyzed using thematic content analysis.
Results: The co-design process led to a virtual care model prototype that directly addressed participants' key needs. These included personalized communication methods, simplified technology interfaces for easier access, and culturally responsive care practices. Participants emphasized the importance of privacy in virtual consultations, flexible scheduling to accommodate health fluctuations, and ongoing support for managing both HIV and aging-related conditions. Their feedback shaped a model designed to bridge service gaps, offering a more inclusive, accessible, and patient-centered approach to virtual geriatric care.
Conclusions: This study co-designed a potential virtual geriatric care model grounded in the experiences of older adults living with HIV. By integrating participants' insights throughout the design process, the model offers a promising approach to improving care for this vulnerable population. Future directions for research to test this model are proposed.
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http://dx.doi.org/10.2196/67122 | DOI Listing |
JMIR Mhealth Uhealth
September 2025
Department of Neurology, School of Medicine, Washington University in St. Louis, 660 South Euclid Avenue, St Louis, MO, 63130, United States, 1 9548065162.
Background: Unsupervised cognitive assessments are becoming commonly used in studies of aging and neurodegenerative diseases. As assessments are completed in everyday environments and without a proctor, there are concerns about how common distractions may impact performance and whether these distractions may differentially impact those experiencing the earliest symptoms of dementia.
Objective: We examined the impact of self-reported interruptions, testing location, and social context during testing on remote cognitive assessments in older adults.
J Med Internet Res
September 2025
Department of Information Systems and Cybersecurity, The University of Texas at San Antonio, 1 UTSA Circle, San Antonio, TX, 78249, United States, 1 (210) 458-6300.
Background: Adverse drug reactions (ADR) present significant challenges in health care, where early prevention is vital for effective treatment and patient safety. Traditional supervised learning methods struggle to address heterogeneous health care data due to their unstructured nature, regulatory constraints, and restricted access to sensitive personal identifiable information.
Objective: This review aims to explore the potential of federated learning (FL) combined with natural language processing and large language models (LLMs) to enhance ADR prediction.
Ann Intern Med
September 2025
Department of Medicine, Johns Hopkins University School of Medicine, and Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (J.B.S.).
Electronic health record (EHR) data are increasingly used to develop prediction models that guide clinical decision making at the point of care. These include algorithms that use high-frequency data, like in sepsis prediction, as well as simpler equations, such as the Pooled Cohort Equations for cardiovascular outcome prediction. Although EHR data used in prediction models are often highly granular and more current than other data, there is systematic and nonsystematic missingness in EHR data as there is with most data.
View Article and Find Full Text PDFAnn Intern Med
September 2025
Johns Hopkins University School of Medicine, Baltimore, Maryland (M.S., J.J., K.A.G., M.S., A.T.F.).
Background: With antiretroviral therapy, people with HIV can live a normal lifespan and not transmit HIV. The Ryan White HIV/AIDS Program provides care for over half of people with HIV in the United States.
Objective: To estimate how many HIV infections could result from cessation of Ryan White services or interruptions lasting 18 to 42 months.