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Mass Training In Situ During COVID-19 Pandemic: Enhancing Efficiency and Minimizing Sick Leaves
Louis Delamarre1, Sébastien Couarraze, Fanny Vardon-Bounes
1From the Department of Anaesthesiology and Critical Care (L.D., S.C., F.V.-B., F.M., M.F., M.L., R.P., O.M., C.L., J.R., F.F., B.R., T.S., D.O., S.S., B.G., V.M., O.F., T.G.), University Hospital of Toulouse, University Toulouse 3-Paul Sabatier; Institut Toulousain de Simulation en Santé (L.D., S.C., F.V.-B., F.M., C.-H.H.-C., T.G.), University Hospital of Toulouse; Departement des Sciences de l'Éducation et de la Formation (S.C.), Université Toulouse Jean-Jaurès, Unité Mixte de Recherche Éducation, Formation, Travail, Savoirs (UMR EFTS); Operating Room Department (R.R., V.M.), University Toulouse 3-Paul Sabatier; University Toulouse 3-Paul Sabatier (S.S., V.M., O.F., T.G.); and Department of Bacteriology and Virology and Operational Hospital Hygiene Team (S.M.), University of Toulouse, Toulouse, France.
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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