Mass Training In Situ During COVID-19 Pandemic: Enhancing Efficiency and Minimizing Sick Leaves. Issue 1 (February 2022)

• Record Type: Journal Article
• Authors: 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
• Is Part Of: Simulation in healthcare. Volume 17:Issue 1(2022)
• Publication Date: 2022-02
• Subjects: Contamination -- COVID-19 -- healthcare workers -- sick leave -- simulation -- training; Simulated patients -- Periodicals; 362.1
• DOI: 10.1097/SIH.0000000000000556
• Languages: English
• ISSNs: 1559-2332

Abstract

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. Abstract : Supplemental digital content is available in the text.