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Mileder, LP; Schüttengruber, G; Prattes, J; Wegscheider, T.
Simulation-based training and assessment of mobile pre-hospital SARS-CoV-2 diagnostic teams in Styria, Austria.
Medicine (Baltimore). 2020; 99(29): e21081-e21081. [OPEN ACCESS]
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Autor/innen der Med Uni Graz:
Mileder Lukas Peter
Prattes Jürgen
Schüttengruber Gerhilde
Wegscheider Thomas
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Abstract:
The World Health Organization has declared coronavirus disease 2019 (COVID-19) a pandemic. Polymerase chain reaction testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the diagnostic gold standard of COVID-19. We have developed a simulation-based training program for mobile prehospital diagnostic teams in the province of Styria, Austria, and performed a prospective observational study on its applicability and effectivity.The 1-day curriculum uses theoretical instruction, technical skills training, and simulator-based algorithm training to teach and train prehospital patient identification and communication, donning the personal protective equipment, collection of naso-/oropharyngeal swabs for SARS-CoV-2 polymerase chain reaction testing, doffing the personal protective equipment, and sample logistics. Trainings were conducted at the SIM CAMPUS simulation hospital, Eisenerz, using high-fidelity patient simulation. To ensure achievement of predefined learning outcomes, participants had to undergo a final simulator-based objective structured clinical examination.In March 2020, 45 emergency medical assistants and 1 physician of the Austrian Red Cross participated on a voluntary basis. Forty-five of the 46 participants (97.8%) completed the curriculum successfully, with mean objective structured clinical examination ratings of 98.6%.Using several proven educational concepts, we have successfully drafted and implemented a training program for mobile prehospital SARS-CoV-2 diagnostic teams. Based on simulation-based objective structured examinations, it has prepared participants effectively for preclinical duties.

Find related publications in this database (Keywords)
coronavirus disease 2019
diagnostics
education
polymerase chain reaction
severe acute respiratory syndrome coronavirus 2
simulation
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