Objective: To describe the level of satisfaction of nursing students with clinical simulation in their undergraduate training.
Method: a descriptive observational study of a retrospective cross section was conducted in undergraduate students in Nursing during the academic years 2016-17 and 2017-18. The instrument used was the High Fidelity Clinical Simulation satisfaction scale in students (ESSAF), a validated, anonymous and self-administered questionnaire (alpha .857) to measure the level of satisfaction after high-fidelity clinical simulation practices.
Results: Data were collected from a total of 269 students, of which 63.3% were women and the average age of the sample was 21.68±13.46 years. The analysis of frequencies shows results of the grade of satisfaction over 89%, especially in decision-making, the ability to prioritize and learning procedures. Of the answers, 87% exceeded an average of 4 out of 5. The questions in the questionnaire with answers higher than 4.6 were the realism of the cases (4.71), the teacher provides constructive feedback after each session (4.65), the simulation relates theory to practice (4.72), the analysis (debriefing) at the end of the session helps reflection on the cases (4.65) and practical utility (4.69).
Conclusions: Nursing students from the University of Cantabria (Spain) report high satisfaction in high fidelity clinical simulation, confirming its usefulness in the learning process.
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http://dx.doi.org/10.1016/j.enfcli.2019.07.007 | DOI Listing |
Brain Inform
January 2025
Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA.
Cognitive resilience (CR) describes the phenomenon of individuals evading cognitive decline despite prominent Alzheimer's disease neuropathology. Operationalization and measurement of this latent construct is non-trivial as it cannot be directly observed. The residual approach has been widely applied to estimate CR, where the degree of resilience is estimated through a linear model's residuals.
View Article and Find Full Text PDFSci Rep
January 2025
Division of Nephrology and Hypertension, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Artificial intelligence (AI) has shown promise in revolutionizing medical triage, particularly in the context of the rising prevalence of kidney-related conditions with the aging global population. This study evaluates the utility of ChatGPT, a large language model, in triaging nephrology cases through simulated real-world scenarios. Two nephrologists created 100 patient cases that encompassed various aspects of nephrology.
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January 2025
Department of Orthopaedic Surgery, School of Medicine, International University of Health and Welfare, 4-3, Kozunomori, Narita, Chiba, 286-8686, Japan.
The occurrence of diseases characterized by irregular spinal alignment, such as kyphosis, lordosis, scoliosis, and dropped head syndrome (DHS) is increasing, particularly among older adults. DHS is characterized by an excessive forward tilt of the head and neck, causing the head to droop. Although it is believed that muscle activity plays a role in both the onset and treatment of DHS, the underlying mechanisms remain unclear.
View Article and Find Full Text PDFClin Chem Lab Med
January 2025
Rare Diseases Department, General Directorate of Health Services, Turkish Ministry of Health, Ankara, Türkiye.
Simulation-based approaches for setting indirect outcome-based analytical performance specifications (APS) predominantly involve test repetition through analytical reruns or resampling. These methodologies assess the agreement between original and simulated measurement results, determining the APS corresponding to pre-established performance thresholds. For APS related to imprecision and bias, both analytical performance characteristics (APCs) are typically considered in simulations, whereas for APS regarding measurement uncertainty, bias is excluded in alignment with traceability standards.
View Article and Find Full Text PDFAnn Fam Med
January 2025
Department of General Pediatrics, Boston Children's Hospital, Boston, MassachusettsHarvard Medical School, Boston, MassachusettsLongwood Pediatrics, Boston, Massachusetts
As a primary care pediatrician trained before work hour restrictions were enacted, I spent hours mastering procedures that trainees today rarely perform. The changing landscape of health care clinician roles, technology, and work hour restrictions have all contributed to a remarkable decline in trainees' procedural competence which has significant negative effects for patients, health care systems, and physicians themselves. I suggest simulation, live training, mentoring, and scheduled opportunities as ways to reemphasize the importance of learning these technical skills.
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