Low-fidelity simulation of medical emergency and cardiac arrest responses in a suspected COVID-19 patient - an interim report.
Clin Med (Lond)
; 20(4): e66-e71, 2020 07.
Article
en En
| MEDLINE
| ID: mdl-32430344
ABSTRACT
BACKGROUND:
COVID-19 poses many challenges to healthcare systems and workers. Responding to medical emergencies in patients with suspected COVID-19 will require new guidelines and protocols. Simulation can support their development.METHODS:
We organised seven simulations involving patients with suspected COVID-19 for staff at Brighton and Sussex University Hospitals. Participants completed pre- and post-simulation questionnaires.RESULTS:
Fifty-six staff participated and they reported being significantly less prepared to respond to an emergency in a patient with suspected COVID-19 than in one in whom it is not suspected. The simulations significantly improved the participants' confidence in responding to emergencies in patients with suspected COVID-19. Numerous challenges were identified along the themes of equipment, personnel, communication and procedures.CONCLUSIONS:
Low-fidelity simulation can provide relevant and timely information on how prepared health systems and their workforce are to respond to emergencies. We urge NHS trusts nationally to implement simulations to identify problems and develop effective solutions.Palabras clave
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Neumonía Viral
/
Infecciones por Coronavirus
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Autoeficacia
/
Entrenamiento Simulado
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Paro Cardíaco
Límite:
Aged
/
Humans
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Male
Idioma:
En
Revista:
Clin Med (Lond)
Año:
2020
Tipo del documento:
Article
País de afiliación:
Reino Unido