Background: The optimal retraining intervals for Immediate Life Support (ILS) are unclear. This study aimed to explore the effects of different retraining intervals for simulation-based, short-duration ILS courses.
Methods: In this randomized controlled study, junior residents and nurses were recruited and assigned to three groups. After receiving initial simulation-based ILS training, the groups underwent retraining at different intervals: 3 months, 6 months, and 1 year. Each one-hour retraining session included an 8-min in-situ resuscitation simulation on a high-fidelity manikin, followed by debriefing. One year after the initial training, all participants completed a paper-based test and self-efficacy questionnaires on teamwork performance, in addition to a resuscitation simulation. Blinded evaluators assessed performance by reviewing simulation videos using validated checklists.
Results: Eighty-two out of 89 participants completed the study. They had similar characteristics, including age and years of work experience. The 6-month group had fewer resuscitation experiences in the past year. One year after the initial training, there were significant differences in the median skill performance scores across the groups (3-month vs. 6-month vs. 1-year: 31 vs. 28 vs. 23.5, p < 0.01). The 3-month group outperformed the 6-month group (p = 0.04), and the 6-month group outperformed the 1-year group (p = 0.01). The 3-month group also had significantly higher knowledge scores and performed best in self-evaluated teamwork performance.
Conclusion: Our study shows that a 3-month retraining interval achieved the greatest effect for healthcare professionals with limited resuscitation experience in simulation-based, short-duration ILS retraining courses.
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http://dx.doi.org/10.1016/j.ajem.2025.02.026 | DOI Listing |
Annu Int Conf IEEE Eng Med Biol Soc
July 2024
Diminished limb propulsive forces correlate with increased fall risk and reduced mobility. Gait biofeedback retraining, focusing on anteriorly directed ground reaction forces, holds promise for improving limb propulsive forces. However, the current reliance on bulky and expensive instrumented treadmills restricts its applicability beyond the laboratory.
View Article and Find Full Text PDFAm J Emerg Med
February 2025
Department of Emergency Medicine, National Taiwan University Hospital Yunlin Branch, Yunlin County, Taiwan.
Background: The optimal retraining intervals for Immediate Life Support (ILS) are unclear. This study aimed to explore the effects of different retraining intervals for simulation-based, short-duration ILS courses.
Methods: In this randomized controlled study, junior residents and nurses were recruited and assigned to three groups.
Heart Rhythm O2
December 2024
Pfizer Inc, New York, New York.
Background: Prediction models for atrial fibrillation (AF) may enable earlier detection and guideline-directed treatment decisions. However, model bias may lead to inaccurate predictions and unintended consequences.
Objective: The purpose of this study was to validate, assess bias, and improve generalizability of "UNAFIED-10," a 2-year, 10-variable predictive model of undiagnosed AF in a national data set (originally developed using the Indiana Network for Patient Care regional data).
J Med Imaging (Bellingham)
November 2024
The University of Chicago, Committee on Medical Physics, Department of Radiology, Chicago, Illinois, United States.
Purpose: This study aimed to investigate the impact of different model retraining schemes and data partitioning on model performance in the task of COVID-19 classification on standard chest radiographs (CXRs), in the context of model generalizability.
Approach: Two datasets from the same institution were used: Set A (9860 patients, collected from 02/20/2020 to 02/03/2021) and Set B (5893 patients, collected from 03/15/2020 to 01/01/2022). An original deep learning (DL) model trained and tested in the task of COVID-19 classification using the initial partition of Set A achieved an area under the curve (AUC) value of 0.
BMC Med Educ
December 2024
Department of Emergency Medicine, National Taiwan University Hospital and National Taiwan University, No.7, Chung-Shan South Road, Taipei, 100, Taiwan.
Introduction: This prospective study aims to evaluate the learning effect of US-guided thoracocentesis and pericardiocentesis in novices through simulation training using handmade phantoms.
Methods: The novices included undergraduate-year (UGY) students and first postgraduate-year (PGY-1) residents. Handmade phantoms were utilized for training and immediate assessment.
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