Introduction: Medical students regularly transition between clerkships. These transitions can lead to discontinuity in their development because of the need to adapt to a new environment. The use of entrustable professional activities (EPAs) might facilitate less disruptive transitions across clerkships, as they could provide support at the start of a clerkship. This study aims to shed light on how an EPA-based curriculum contributes to medical students' learning processes during transitions.

Methods: The authors used a constructivist rapid ethnographic design. They conducted observations and interviews with 11 medical students in their Pediatrics clerkship; six of them were in clerkships not utilizing EPAs, and five were using EPAs. Data collection was followed by template analysis such that all data were coded with a template that was continually updated until the authors all agreed upon a definitive template.

Results: Four themes proved important when considering the impact of EPAs during transitions between clerkships: transitions as a learning opportunity, building relationships in context, taking leadership in the landscape of practice and feedback-seeking behavior.

Discussion: EPAs smooth clerkship transitions, as they establish continuity in the student's development and facilitate navigating discontinuity in transitions. Students build skills and confidence in order to grow and work with increasing independence within the clerkships. Transitions offer important learning opportunities for students, which can be fully exploited by using EPA guidance.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10237239PMC
http://dx.doi.org/10.5334/pme.825DOI Listing

Publication Analysis

Top Keywords

medical students
12
transitions clerkships
12
clerkships transitions
12
entrustable professional
8
professional activities
8
transitions
8
clerkships
6
students
5
epas
5
qualitative study
4

Similar Publications

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 PDF

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.

View Article and Find Full Text PDF

Patients' Willingness to Perform Self-Wound Care: A Cross-sectional Study in the Primary Healthcare Sector in Singapore.

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 PDF

Generative Artificial Intelligence: Applications in Scientific Writing and Data Analysis in Wound Healing Research.

Adv 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 PDF

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.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!