Mass Training In Situ During COVID-19 Pandemic Enhancing Efficiency and Minimizing Sick Leaves

Louis Delamarre,Sebastien Couarraze,Fanny Vardon-Bounes,Fouad Marhar, Marilyne Fernandes, Muriel Legendre,Charles-Henri Houze-Cerfon, Rachel Rigal, Richard Pizzuto, Olivier Mathe,Claire Larcher,Jean Ruiz,Fabrice Ferre,Beatrice Riu,Thierry Seguin,Diane Osinski,Stein Silva, Sandra Malavaud,Bernard Georges, Vincent Minville,Olivier Fourcade, Thomas Geeraerts

SIMULATION IN HEALTHCARE-JOURNAL OF THE SOCIETY FOR SIMULATION IN HEALTHCARE(2022)

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摘要
Introduction Avoiding coronavirus disease 2019 (COVID-19) work-related infection in frontline healthcare workers is a major challenge. A massive training program was launched in our university hospital for anesthesia/intensive care unit and operating room staff, aiming at upskilling 2249 healthcare workers for COVID-19 patients' management. We hypothesized that such a massive training was feasible in a 2-week time frame and efficient in avoiding sick leaves. Methods We performed a retrospective observational study. Training focused on personal protective equipment donning/doffing and airway management in a COVID-19 simulated patient. The educational models used were in situ procedural and immersive simulation, peer-teaching, and rapid cycle deliberate practice. Self-learning organization principles were used for trainers' management. Ordinary disease quantity in full-time equivalent in March and April 2020 were compared with the same period in 2017, 2018, and 2019. Results A total of 1668 healthcare workers were trained (74.2% of the target population) in 99 training sessions over 11 days. The median number of learners per session was 16 (interquartile range = 9-25). In the first 5 days, the median number of people trained per weekday was 311 (interquartile range = 124-385). Sick leaves did not increase in March to April 2020 compared with the same period in the 3 preceding years. Conclusions Massive training for COVID-19 patient management in frontline healthcare workers is feasible in a very short time and efficient in limiting the rate of sick leave. This experience could be used in the anticipation of new COVID-19 waves or for rapidly preparing hospital staff for an unexpected major health crisis.
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Contamination,COVID-19,healthcare workers,sick leave,simulation,training
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