The Role of Simulation in Teaching Pediatric Resuscitation: Current Perspectives

Overview

Journal Adv Med Educ Pract

Publisher Dove Medical Press

Specialty Medical Education

Date 2015 Apr 17

PMID 25878517

Citations 17

Authors

Yiqun Lin

Adam Cheng

Affiliations

Soon will be listed here.

Abstract

The use of simulation for teaching the knowledge, skills, and behaviors necessary for effective pediatric resuscitation has seen widespread growth and adoption across pediatric institutions. In this paper, we describe the application of simulation in pediatric resuscitation training and review the evidence for the use of simulation in neonatal resuscitation, pediatric advanced life support, procedural skills training, and crisis resource management training. We also highlight studies supporting several key instructional design elements that enhance learning, including the use of high-fidelity simulation, distributed practice, deliberate practice, feedback, and debriefing. Simulation-based training is an effective modality for teaching pediatric resuscitation concepts. Current literature has revealed some research gaps in simulation-based education, which could indicate the direction for the future of pediatric resuscitation research.

Citing Articles

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Coelho L, Farhat S, Severini R, Souza A, Rodrigues K, Bello F Einstein (Sao Paulo). 2024; 22:eAO0825.

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Interprofessional Paediatric High-Fidelity Simulation Training: A Mixed Methods Study of Experiences and Readiness among Nursing and Medical Students.

Beichler H, Grandy S, Neumaier S, Lilgenau A, Schwarz H, Wagner M Nurs Rep. 2024; 14(1):566-585.

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Reviving Hope: A Comprehensive Review of Post-resuscitation Care in Pediatric ICUs After Cardiac Arrest.

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Impact of Quality Improvement Bundle on Compliance with Resuscitation Guidelines during In-Hospital Cardiac Arrest in Children.

Awadhare P, Barot K, Frydson I, Balakumar N, Doerr D, Bhalala U Crit Care Res Pract. 2023; 2023:6875754.

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Assessment of Emergency Medicine Resident Performance in a Pediatric In Situ Simulation Using Multi-Source Feedback.

Nguyen M, Elliott N, Begany D, Best K, Cook M, Jong M Cureus. 2021; 13(8):e16812.

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