: The COVID-19 pandemic has had consequences for social, economic, cultural and educational life, affecting nursing training and practice. To date, no previous scoping reviews addressing this objective have been found. This study aims to map the literature related to changes in clinical training for nursing students during the COVID-19 pandemic. : A scoping review will be carried out according to the Joanna Briggs Institute's latest guidance regarding methodology. A set of relevant electronic databases and grey literature will be searched using terms such as clinical practice, nursing students, COVID-19. : This scoping review will consider any type of quantitative, qualitative, and mixed-methods study and systematic review designs for inclusion, focusing on changes in clinical training for nursing students during the COVID-19 pandemic. : Pedagogical criteria had to be changed due to the COVID-19 pandemic, especially face-to-face clinical training for nursing students. Identifying the changes in clinical training for nursing students during the COVID-19 pandemic will help educators to understand the potential impact of this specific context and trace possible gaps. This protocol is registered at Open Science Framework.
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http://dx.doi.org/10.3390/nursrep12010021 | DOI Listing |
J Nurs Adm
December 2024
Author Affiliations: Assistant Professor (Dr Hickman), Assistant Professor (Dr Petri), and Coordinator (Connors), University of Maryland School of Nursing, Baltimore.
Objective: To describe practicum experiences as perceived by nurse leader preceptors of graduate students in a nursing administration practicum.
Background: Practicum experiences in graduate nursing administration programs provide students with exposure to the real-life experiences of nurse leaders, bridging the gap between academic knowledge gained and the application of that information to the workplace. The literature lacks best practices for graduate nursing administration practicum experiences.
Medicine (Baltimore)
January 2025
Centro Universitario de Enfermería Cruz Roja, University of Seville, Seville, Spain.
Background: There is an increased prevalence of mental health problems in various population groups as a result of the COVID-19 pandemic and its consequences, especially regarding anxiety, stress, depression, fear, and sleep disturbances, require to be investigated longitudinally.
Objective: This study aimed to determine the impact that the COVID-19 pandemic had on the mental health of Nursing students, as well as to examine other associated factors such as anxiety, fear, sleep disturbances, and coping strategies.
Method: This systematic review and meta-analysis were designed following the PRISMA guidelines and were registered in PROSPERO with code CRD42024541904.
Adv Skin Wound Care
January 2025
Tuba Sengul, PhD, RN, CWON, is Associate Professor, Koç University School of Nursing, Istanbul, Türkiye. Nurten Kaya, PhD, RN, is Professor, Health Sciences Faculty, Istanbul University-Cerrahpaşa, Istanbul.
Objective: To determine if an escape room game approach, which has emerged as a novel and engaging education tool, is an effective method to improve nursing students' knowledge of pressure injury (PI) prevention and attitudes toward the care of patients with a PI.
Methods: This study evaluated 33 university nursing students using a quasi-experimental pretest/posttest design. Students completed five questionnaires before the escape room experience and again 1 month after.
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.
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