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Mass Training In Situ During COVID-19 Pandemic: Enhancing Efficiency and Minimizing Sick Leaves.
Delamarre, Louis; Couarraze, Sébastien; Vardon-Bounes, Fanny; Marhar, Fouad; Fernandes, Marilyne; Legendre, Muriel; Houze-Cerfon, Charles-Henri; Rigal, Rachel; Pizzuto, Richard; Mathe, Olivier; Larcher, Claire; Ruiz, Jean; Ferré, Fabrice; Riu, Béatrice; Seguin, Thierry; Osinski, Diane; Silva, Stein; Malavaud, Sandra; Georges, Bernard; Minville, Vincent; Fourcade, Olivier; Geeraerts, Thomas.
  • Delamarre L; From 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 Éducat
Simul Healthc ; 17(1): 42-48, 2022 Feb 01.
Article in English | MEDLINE | ID: covidwho-1662158
ABSTRACT

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.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Simul Healthc Journal subject: Health Services Research Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Simul Healthc Journal subject: Health Services Research Year: 2022 Document Type: Article