Building consensus for the future of paediatric simulation: a novel 'KJ Reverse-Merlin' methodology

Elizabeth Hunt, Jordan Duval-Arnould, Nnenna O. Chime, Marc Auerbach, David Kessler, Jonathan P. Duff, Nicole Shilkofski, Marissa Brett-Fleegler, Vinay Nadkarni, Adam Cheng

Research output: Contribution to journalArticle

Abstract

Objectives This project aims to identify guiding strategic principles to optimise simulation-based educational impact on learning, patient safety and child health. Methods Study participants included 39 simulation experts who used a novel 'KJ Reverse-Merlin' consensus process in the systematic identification of barriers to success in simulation, grouped them in themes and subsequently identified solutions for each theme. Results 193 unique factors were identified and clustered into 6 affinity groups. 6 key consensus strategies were identified: (1) allocate limited resources by engaging health systems partners to define education and research priorities; (2) conduct and publish rigorous translational and cost-effectiveness research; (3) foster collaborative multidisciplinary research and education networks; (4) design simulation solutions with systems integration and sustainability in mind; (5) leverage partnerships with industry for simulation, medical and educational technology; (6) advocate to engage the education community, research funding agencies and regulatory bodies. Conclusions Simulation can be used as a research, quality improvement and or educational tool aimed at improving the quality of care provided to children. However, without organisation, strategy, prioritisation and collaboration, the simulation community runs the risk of wasting resources, duplicating and misdirecting the efforts.

Original languageEnglish (US)
Pages (from-to)35-41
Number of pages7
JournalBMJ Simulation and Technology Enhanced Learning
Volume2
Issue number2
DOIs
StatePublished - Jun 1 2016

Keywords

  • Consensus Statement
  • KJ Merlin
  • Pediatric Simulation
  • Simulation in Healthcare

ASJC Scopus subject areas

  • Modeling and Simulation
  • Education
  • Health Informatics

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