In recent years, peer-assisted learning has emerged as a new and effective medical education modality. Near-peer tutoring utilizes a senior student serving as an instructor to a junior student. In 2019, the University of California, Irvine, School of Medicine (UCISOM) implemented a near-peer tutoring model beginning with first-year anatomy and physiology curricula. Following a successful pilot program, UCISOM launched a full-fledged near-peer tutoring program in 2020 named Collaborative Learning Communities (CLC) with Medical Students as Teachers. The rollout of CLC occurred in phases. In 2020, second-year medical students led the program for first-year students; in 2021, an additional program was led by third-year medical students for second-year students; in 2022, the program expanded to third-year medical students led by fourth-year students. Each program serves the unique learning needs of each student class, utilizing evidence-based teaching practices while allowing the opportunity for mentorship, interclass connectedness, and refinement of the tutor's teaching skills. In this paper, we describe the creation of CLC, its goals, leadership and curricular structure, and its various benefits, challenges, and limitations.
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http://dx.doi.org/10.1177/23821205231183878 | DOI Listing |
J Surg Educ
January 2025
Department of Sociology, McGill University, Montreal, Quebec, Canada.
Objective: Discussions related to the importance of seeking specific consent for sensitive (e.g., pelvic, rectal) exams performed on anesthetized patients by medical students have been growing.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Institute of Medical Teaching and Medical Education Research, University Hospital Würzburg, Würzburg, Germany.
Background: Objective structured clinical examinations (OSCEs) are a widely recognized and accepted method to assess clinical competencies but are often resource-intensive.
Objective: This study aimed to evaluate the feasibility and effectiveness of a virtual reality (VR)-based station (VRS) compared with a traditional physical station (PHS) in an already established curricular OSCE.
Methods: Fifth-year medical students participated in an OSCE consisting of 10 stations.
Adv Skin Wound Care
January 2025
Ling Jia Goh, MClin Res, MHA, Adv Dip (CCNC), BHS (Nursing), Dip (Nursing with Merit), is Nurse Manager (Research), Department of Nursing, National Healthcare Group Polyclinics, Singapore. Xiaoli Zhu, MN, RN, is Wound Care Senior Nurse Clinician, National Healthcare Group Polyclinics, and PhD candidate, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Background: Patient adherence to performing self-wound care (SWC) has a direct influence on the success of telewound care, a healthcare delivery mode that emerged in 2016 in National Healthcare Group Polyclinics in Singapore to relieve the healthcare burden. This mode of delivery was useful during the pandemic, when nonurgent face-to-face visits were switched to the use of telecommunications for consultation. Telewound care requires that patients be willing to perform wound care on their own; however, whether patients are willing to do so remains unknown.
View Article and Find Full Text PDFAdv Skin Wound Care
January 2025
At the Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York, United States, Adrian Chen, BS, Aleksandra Qilleri, BS, and Timothy Foster, BS, are Medical Students. Amit S. Rao, MD, is Project Manager, Department of Surgery, Wound Care Division, Northwell Wound Healing Center and Hyperbarics, Northwell Health, Hempstead. Sandeep Gopalakrishnan, PhD, MAPWCA, is Associate Professor and Director, Wound Healing and Tissue Repair Analytics Laboratory, School of Nursing, College of Health Professions, University of Wisconsin-Milwaukee. Jeffrey Niezgoda, MD, MAPWCA, is Founder and President Emeritus, AZH Wound Care and Hyperbaric Oxygen Therapy Center, Milwaukee, and President and Chief Medical Officer, WebCME, Greendale, Wisconsin. Alisha Oropallo, MD, is Professor of Surgery, Donald and Barbara Zucker School of Medicine and The Feinstein Institutes for Medical Research, Manhasset New York; Director, Comprehensive Wound Healing Center, Northwell Health; and Program Director, Wound and Burn Fellowship program, Northwell Health.
Generative artificial intelligence (AI) models are a new technological development with vast research use cases among medical subspecialties. These powerful large language models offer a wide range of possibilities in wound care, from personalized patient support to optimized treatment plans and improved scientific writing. They can also assist in efficiently navigating the literature and selecting and summarizing articles, enabling researchers to focus on impactful studies relevant to wound care management and enhancing response quality through prompt-learning iterations.
View Article and Find Full Text PDFAm J Phys Med Rehabil
January 2025
Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
People with disabilities have recently been declared a population at increased risk of health disparities, and research has cited a lack of physician training as a cause of that increased risk. Prior studies demonstrate that physicians lack confidence in caring for people with disabilities, but there is little research on disability competency among medical students. This study assessed medical students' confidence in six disability-related competencies and tested for associations between perceived confidence and students' personal demographics and institutional characteristics.
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