Introduction: Pressure injuries (PIs) are a significant issue in healthcare system: nursing students are recommended to be prepared to assess the risk, prevent and manage them. However, despite the coronavirus disease-2019 (COVID-19) pandemic significantly affected nursing students' learning opportunities no data regarding their impact of PIs knowledge, attitudes and learning occasions have been documented to date.
Aims: To describe the post-pandemic knowledge and attitudes regarding PI prevention and management and to compare clinical learning opportunities in the field of PIs before and after the COVID-19 pandemic.
Method: A descriptive multi-method study involving students at the time of their graduation in the before (n = 114) and after the pandemic (n = 113). The Italian versions of the Pressure Ulcer Knowledge Assessment Tool (PUKAT-IT) and Attitude Toward Pressure Ulcer Prevention (APuP-IT) scales were used. Data regarding pre- and post-pandemic learning opportunities were retrospectively collected from the Student Portfolio of Skills.
Results: The average PUKAT-IT score was 57.92 % (cut-off 60 %), which indicates insufficient knowledge; the average APuP-IT score was 78.19 % (cut-off 75 %), which shows positive attitudes towards PI. Comparing the pre- and the post-pandemic groups, learning opportunities in PI risk assessment and prevention significantly decreased (overall 38.90 vs 32.27 and 35.26 vs 25.97, respectively) while those regarding the PI management remained stable.
Conclusion: In the post-pandemic times, nursing students' knowledge about PIs remains insufficient while their attitudes are adequate; the pandemic significantly reduced students' exposure to prevention and assessment learning opportunities during their internship, which suggests a need to update educational strategies to ensure appropriate knowledge and learning experiences in this field.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.jtv.2024.08.012 | DOI Listing |
JMIR Med Educ
January 2025
Centre for Digital Transformation of Health, University of Melbourne, Carlton, Australia.
Background: Learning health systems (LHS) have the potential to use health data in real time through rapid and continuous cycles of data interrogation, implementing insights to practice, feedback, and practice change. However, there is a lack of an appropriately skilled interprofessional informatics workforce that can leverage knowledge to design innovative solutions. Therefore, there is a need to develop tailored professional development training in digital health, to foster skilled interprofessional learning communities in the health care workforce in Australia.
View Article and Find Full Text PDFNat Rev Bioeng
May 2024
Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Artificial intelligence (AI) and machine learning (ML) models are being deployed in many domains of society and have recently reached the field of drug discovery. Given the increasing prevalence of antimicrobial resistance, as well as the challenges intrinsic to antibiotic development, there is an urgent need to accelerate the design of new antimicrobial therapies. Antimicrobial peptides (AMPs) are therapeutic agents for treating bacterial infections, but their translation into the clinic has been slow owing to toxicity, poor stability, limited cellular penetration and high cost, among other issues.
View Article and Find Full Text PDFHeliyon
January 2025
Faculty of Health Sciences, Nursing and physiotherapy department, Universidad de León, 24007, León, Spain.
Background: The use of artificial intelligence tools, such as ChatGPT, is on the rise in nursing education. In the field of healthcare, ChatGPT can offer unique opportunities to enhance the learning and clinical practice of nursing students. However, it is still necessary to explore how this tool affects students' performance and perception in their nursing education.
View Article and Find Full Text PDFJ Educ Health Promot
December 2024
Department of Surgery, The Aga Khan University Hospital, Karachi, Pakistan.
This study aims to explore the perspectives of medical students on the newly introduced Surgical Sub-internship (SI) rotation in year 5 Surgical Clerkship. This cross-sectional study was conducted at The Aga Khan University Hospital, Karachi, Pakistan from September 2022 to September 2023. A self-designed 5-point Likert scale-based evaluation form was created to explore students' perspectives regarding their one-week Surgical SI rotation.
View Article and Find Full Text PDFBr J Biomed Sci
January 2025
Department of Biosciences and Chemistry, Sheffield Hallam University, Sheffield, United Kingdom.
Generative Artificial Intelligence (GenAI) is rapidly transforming the landscape of higher education, offering novel opportunities for personalised learning and innovative assessment methods. This paper explores the dual-edged nature of GenAI's integration into educational practices, focusing on both its potential to enhance student engagement and learning outcomes and the significant challenges it poses to academic integrity and equity. Through a comprehensive review of current literature, we examine the implications of GenAI on assessment practices, highlighting the need for robust ethical frameworks to guide its use.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!