Laurie Benguigui, Solène Le Gouzouguec, Baptiste Balanca, Maud Ristovski, Guy Putet, Marine Butin, Bernard Guillois, Anne Beissel
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引用次数: 0
Abstract
Objective: Adherence to the International Liaison Committee on Resuscitation (ILCOR) algorithm optimizes the initial management of critically ill neonates. In this randomized controlled trial, we assessed the impact of a customizable sequential digital cognitive aid (DCA), adapted from the 2020 ILCOR recommendations, compared with a poster cognitive aid (standard of care [SOC]), on technical and nontechnical performance of junior trainees during a simulated critical neonatal event at birth.
Methods: For this prospective, bicentric video-recorded study, students were recruited on a voluntary basis, and randomized into groups of 3 composed of a pediatric resident and two midwife students. They encountered a simulated cardiac arrest at birth either (1) with DCA use and ILCOR algorithm poster displayed on the wall (intervention group) or (2) with sole ILCOR algorithm poster (poster cognitive aid [SOC]). Technical and nontechnical skills (NTS) between the two groups were assessed using a standardized scoring of videotaped performances. A neonate specific NTS score was created from the adult Team score.
Results: 108 students (36 groups of three) attended the study, 20 groups of 3 in the intervention group and 16 groups of 3 in the poster cognitive aid (SOC) group. The intervention group showed a significant improvement in the technical score ( P < 0.001) with an average of 24/27 points (24.0 [23.5-25.0]) versus 20.8/27 (20.8 [19.9-22.5]) in poster cognitive aid (SOC) group. No nontechnical score difference was observed. Feedback on the application was positive.
Conclusions: During a simulated critical neonatal event, use of a DCA was associated with higher technical scores in junior trainees, compared with the sole use of ILCOR poster algorithm.
期刊介绍:
Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare is a multidisciplinary publication encompassing all areas of applications and research in healthcare simulation technology. The journal is relevant to a broad range of clinical and biomedical specialties, and publishes original basic, clinical, and translational research on these topics and more: Safety and quality-oriented training programs; Development of educational and competency assessment standards; Reports of experience in the use of simulation technology; Virtual reality; Epidemiologic modeling; Molecular, pharmacologic, and disease modeling.