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JMIR Res Protoc
January 2025
Institute for Health Care Management and Research, University of Duisburg-Essen, Essen, Germany.
Background: Artificial intelligence (AI)-based clinical decision support systems (CDSS) have been developed for several diseases. However, despite the potential to improve the quality of care and thereby positively impact patient-relevant outcomes, the majority of AI-based CDSS have not been adopted in standard care. Possible reasons for this include barriers in the implementation and a nonuser-oriented development approach, resulting in reduced user acceptance.
View Article and Find Full Text PDFPLoS One
January 2025
Faculty of Medicine and Health Technology, Department of Ophthalmology, Tampere University, Tampere, Finland.
Background: The long-term patterns in first-line glaucoma medication are not well established. Exploring these in longitudinal and population-based settings would provide information for the healthcare systems to plan glaucoma care accordingly.
Objective: To evaluate patterns in first-line glaucoma monotherapy in Finland during 1995-2019 based on nationwide survey and register data.
J Child Health Care
January 2025
School of Nursing, University of São Paulo, São Paulo, Brazil.
The aim of this study was to understand the family perception and emotional impacts on caregivers of children with chronic conditions who remained hospitalized in intensive care units for an extended period. A qualitative, descriptive-exploratory study, grounded in symbolic interactionism, was conducted with 10 primary caregivers of children with long-term experience in a Brazilian intensive care unit. Interviews were conducted, either remotely or in person, and were analyzed using thematic content analysis supplemented by lexical analysis.
View Article and Find Full Text PDFJ Am Med Inform Assoc
January 2025
Institute of Intelligent Rehabilitation Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Background: With the global population aging and advancements in the medical system, long-term care in healthcare institutions and home settings has become essential for older adults with disabilities. However, the diverse and scattered care requirements of these individuals make developing effective long-term care plans heavily reliant on professional nursing staff, and even experienced caregivers may make mistakes or face confusion during the care plan development process. Consequently, there is a rigid demand for intelligent systems that can recommend comprehensive long-term care plans for older adults with disabilities who have stable clinical conditions.
View Article and Find Full Text PDFJ Pediatr Psychol
January 2025
Department of Pediatrics, Rutgers Cancer Institute, New Brunswick, NJ, United States.
Objective: Although childhood cancer survivors require lifelong "risk-based" follow-up care, most adult survivors do not receive such care, and many are lost during the transition from pediatric to adult follow-up care. The goal of this study was to evaluate the feasibility and acceptability of the "Managing Your Health" self-management and peer mentoring intervention to improve transition readiness and self-management skills among young adult survivors of childhood cancer.
Methods: Survivors of childhood cancer ages 18-25 years were randomized 1:1 to the Managing Your Health intervention (six video/phone calls with a peer mentor, another young adult survivor, and five online educational modules) or usual care.
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