TY - JOUR
T1 - Building consensus for the future of paediatric simulation
T2 - a novel 'KJ Reverse-Merlin' methodology
AU - Hunt, Elizabeth A.
AU - Duval-Arnould, Jordan
AU - Chime, Nnenna O.
AU - Auerbach, Marc
AU - Kessler, David
AU - Duff, Jonathan P.
AU - Shilkofski, Nicole
AU - Brett-Fleegler, Marissa
AU - Nadkarni, Vinay
AU - Cheng, Adam
N1 - Funding Information:
INSPIRE Network Executive Committee for providing the infrastructure support for this study and manuscript. The authors also wish to thank the Laerdal Foundation for Acute Care Medicine for funding the INSPIRE network infrastructure as well as the RBaby Foundation for providing support for the Network. In addition, the authors wish to express appreciation to the Society for Simulation in Healthcare and the International Pediatric Simulation Society for supporting the INSPIRE bi-annual meetings that occurred in conjunction with their annual conferences.
Publisher Copyright:
© Published by the BMJ Publishing Group Limited.
PY - 2016/6/1
Y1 - 2016/6/1
N2 - 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.
AB - 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.
KW - Consensus Statement
KW - KJ Merlin
KW - Pediatric Simulation
KW - Simulation in Healthcare
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U2 - 10.1136/bmjstel-2015-000072
DO - 10.1136/bmjstel-2015-000072
M3 - Article
AN - SCOPUS:85050981034
VL - 2
SP - 35
EP - 41
JO - BMJ Simulation and Technology Enhanced Learning
JF - BMJ Simulation and Technology Enhanced Learning
SN - 2056-6697
IS - 2
ER -