Elizabeth A Hunt1, Jordan Duval-Arnould1, Nnenna O Chime1,2, Marc Auerbach3, David Kessler4, Jonathan P Duff5, Nicole Shilkofski1,6, Marissa Brett-Fleegler7, Vinay Nadkarni8, Adam Cheng9. 1. Johns Hopkins University School of Medicine, Baltimore, Maryland, USA. 2. Albert Einstein College of Medicine and Children's Hospital at Montefiore, Bronx, New York, USA. 3. Yale University School of Medicine, New Haven, Connecticut, USA. 4. Columbia University College of Physicians and Surgeons, New York, New York, USA. 5. University of Alberta, Edmonton, Alberta, USA. 6. Perdana University Graduate School of Medicine. 7. Boston Children's Hospital, Boston, Massachusetts, USA. 8. Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA. 9. Alberta Children's Hospital, Calgary, Alberta, Canada.
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. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.
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. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.
Entities:
Keywords:
Consensus Statement; KJ Merlin; Pediatric Simulation; Simulation in Healthcare
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