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Introduction Pediatric to adult health care transition (HCT) is critical to maintaining the health and wellness of patients, and pediatric and adult providers often do not feel prepared to shepherd patients through this process. Methods We designed an HCT curriculum consisting of nine podcasts paired with existing ambulatory experiential learning opportunities for internal medicine-pediatric residents (n=6). Before and after the curriculum we evaluated resident HCT self-assessment and resident performance working with a standardized patient (SP) and standardized parent in a novel objective structured clinical examination (OSCE) station designed to assess HCT skills. Results Residents improved in all HCT self-assessment goals (Likert 1-5; average score increasing from 2.4 to 3.93; p= 0.0002) and in their overall OSCE performance (Likert 1-5; average score increasing from 2.6 to 4.1; p=0.002). Conclusion By combining portable didactic educational materials with intentional experiential learning opportunities, the HCT curriculum herein described improved residents' knowledge and skills related to helping adolescent and young adult patients through HCT. This curriculum could be easily adapted for implementation at other institutions and across disciplines. In addition, we offer a standardized patient case for use in assessing HCT skills.
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http://dx.doi.org/10.7759/cureus.72018 | DOI Listing |
JMIR Res Protoc
September 2025
Department of Health Services Research & Administration, College of Public Health, University of Nebraska Medical Center, Omaha, NE, United States.
Background: With the availability of more advanced and effective treatments, life expectancy has improved among patients with metastatic breast cancer (MBC), but this makes communication with their medical oncologist more complex. Some patients struggle to learn about their therapeutic options and to understand and articulate their preferences. Mobile health (mHealth) apps can enhance patient-provider communication, playing a crucial role in the diagnosis, treatment, quality of life, and outcomes for patients living with MBC.
View Article and Find Full Text PDFJ Med Internet Res
September 2025
Institute of Hospital Management, Peking University Third Hospital, Beijing, China.
Background: Telemedicine is developing rapidly, presenting new opportunities and challenges for physicians and patients. Limited research has examined physicians' behavior during the process of adopting telemedicine and related factors.
Objective: This study aimed to identify perceived barriers and enablers of physicians' adoption of telemedicine and to develop intervention strategies.
JMIR Res Protoc
September 2025
Institute of Higher Education and Research in Healthcare, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland.
Background: In pediatric intensive care units, pain, sedation, delirium, and iatrogenic withdrawal syndrome (IWS) must be managed as interrelated conditions. Although clinical practice guidelines (CPGs) exist, new evidence needs to be incorporated, gaps in recommendations addressed, and recommendations adapted to the European context.
Objective: This protocol describes the development of the first patient- and family-informed European guideline for managing pain, sedation, delirium, and IWS by the European Society of Paediatric and Neonatal Intensive Care.
J Back Musculoskelet Rehabil
September 2025
Neurology, Akdeniz University, Antalya, Turkey.
BackgroundSpinal cord injury is a complex condition affecting millions globally, often requiring extensive rehabilitation. YouTube is increasingly utilized by spinal cord injury-patients and caregivers for rehabilitation information, despite potential misinformation risks. However, few studies have assessed the quality of spinal cord injury -related content on this platform.
View Article and Find Full Text PDFNutr Health
September 2025
Independent researcher, Rome, Italy.
Artificial intelligence (AI) is increasingly applied in nutrition science to support clinical decision-making, prevent diet-related diseases such as obesity and type 2 diabetes, and improve nutrition care in both preventive and therapeutic settings. By analyzing diverse datasets, AI systems can support highly individualized nutritional guidance. We focus on machine learning applications and image recognition tools for dietary assessment and meal planning, highlighting their potential to enhance patient engagement and adherence through mobile apps and real-time feedback.
View Article and Find Full Text PDF