High-fidelity simulation is a useful mechanism to aid progression, development and skill acquisition in nurse education. However, nurse lecturers are daunted by sophisticated simulation technology. This paper presents a new method of introducing human patient simulation to students and educators, whilst seeking to demystify the roles, responsibilities and underpinning pedagogy. The analogy of simulation as theatre outlines the concepts of the theatre and stage (simulation laboratory); the play itself (Simulated Clinical Experience, SCE); the actors (nursing students); audience (peer review panel); director (session facilitator); and the production team (technical coordinators). Performing in front of people in a safe environment, repeated practice and taking on a new role teaches students to act, think and be like a nurse. This in turn supports student learning and enhances self confidence.
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http://dx.doi.org/10.1016/j.nedt.2010.06.003 | DOI Listing |
Nurse Educ Today
January 2025
Lecturer in Nursing Education, Faculty of Nursing, Midwifery & Palliative Care, King's College London, 57 Waterloo Road, London, SE1 8WA. Electronic address:
Background/problems: Individuals with comorbid physical and mental health conditions face significant threats to their well-being while placing a substantial burden on healthcare systems through increased service costs. Nursing professionals encounter multiple challenges in delivering effective care to this population. These challenges include a lack of integrated care models, communication barriers among providers, the complexity of addressing dual health needs, insufficient training in comorbidity management, resource and time constraints, and pervasive stigma toward mental illness.
View Article and Find Full Text PDFJ Multidiscip Healthc
January 2025
School of Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Background: This study evaluates a simulation-based interprofessional education (IPE) program implemented at the National Cheng Kung University Hospital between 2018 and 2023. The program aimed to improve teamwork, communication, and collaboration among healthcare professionals in high-acuity environments such as emergency departments and intensive care units (ICUs).
Methods: A prospective, mixed-methods approach was used to assess the program's effectiveness.
Cardiovasc Eng Technol
January 2025
Institute for Medical Engineering and Science, Massachusetts Institute of Technology, MA, Cambridge, USA.
Purpose: Atrial fibrillation (AF) is the most common chronic cardiac arrhythmia that increases the risk of stroke, primarily due to thrombus formation in the left atrial appendage (LAA). Left atrial appendage occlusion (LAAO) devices offer an alternative to oral anticoagulation for stroke prevention. However, the complex and variable anatomy of the LAA presents significant challenges to device design and deployment.
View Article and Find Full Text PDFFuture Cardiol
January 2025
Division of Cardiac Surgery, University of Toronto, Toronto, ON, Canada.
Reaching competency in congenital heart surgery (CHS) requires lengthy and rigorous training. Due to patient safety, time limitations, and procedural complexity, the intraoperative setting is not ideal for technical practice. Surgical simulation using synthetic, biological, or virtual models is an increasingly valuable educational tool for technical training and assessment.
View Article and Find Full Text PDFSci Rep
January 2025
Division of Mechanical and Biomedical Engineering, Ewha Womans University, Seoul, 03760, Republic of Korea.
This contribution details a new high-fidelity finite element analysis (FEA) methodology for the investigation of the effect of the graft size on the pressure distribution developing at the calcaneocuboid joint after the Evans osteotomy procedure. The FEA model includes all 28 bones of the foot up to the distal end of fibula and tibia as well as soft tissues, tendons, and muscles. The developed FEA model was validated by comparing the in-vivo pressure distribution on the foot plantar with the in-silico results, resulting in a low deviation equal to 7.
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