Literature DB >> 32430344

Low-fidelity simulation of medical emergency and cardiac arrest responses in a suspected COVID-19 patient - an interim report.

Rhys D Wenlock1, Amy Arnold2, Hiten Patel2, David Kirtchuk2.   

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. © Royal College of Physicians 2020. All rights reserved.

Entities:  

Keywords:  COVID-19; Infectious diseases; quality improvement; resuscitation; simulation

Mesh:

Year:  2020        PMID: 32430344      PMCID: PMC7385770          DOI: 10.7861/clinmed.2020-0142

Source DB:  PubMed          Journal:  Clin Med (Lond)        ISSN: 1470-2118            Impact factor:   2.659


  4 in total

1.  Simulation and its role in medical education.

Authors:  Rashmi Datta; Kk Upadhyay; Cn Jaideep
Journal:  Med J Armed Forces India       Date:  2012-04-21

2.  Is high fidelity simulation the most effective method for the development of non-technical skills in nursing? A review of the current evidence.

Authors:  Robin Lewis; Alasdair Strachan; Michelle McKenzie Smith
Journal:  Open Nurs J       Date:  2012-07-27

3.  Effects of high-fidelity simulation based on life-threatening clinical condition scenarios on learning outcomes of undergraduate and postgraduate nursing students: a systematic review and meta-analysis.

Authors:  Carmen La Cerra; Angelo Dante; Valeria Caponnetto; Ilaria Franconi; Elona Gaxhja; Cristina Petrucci; Celeste M Alfes; Loreto Lancia
Journal:  BMJ Open       Date:  2019-02-22       Impact factor: 2.692

4.  High-fidelity is not superior to low-fidelity simulation but leads to overconfidence in medical students.

Authors:  Christina Massoth; Hannah Röder; Hendrik Ohlenburg; Michael Hessler; Alexander Zarbock; Daniel M Pöpping; Manuel Wenk
Journal:  BMC Med Educ       Date:  2019-01-21       Impact factor: 2.463

  4 in total
  2 in total

1.  Airborne Isolation Cardiac Arrest: A Simulation Program for Interdisciplinary Code Blue Team Training.

Authors:  Alexandra C Collis; Andrew P Wescott; Sheryl Greco; Nicole Solvang; Joshua Lee; Amy E Morris
Journal:  MedEdPORTAL       Date:  2022-01-14

2.  Exploring health service preparation for the COVID-19 crisis utilizing simulation-based activities in a Norwegian hospital: a qualitative case study.

Authors:  Une Elisabeth Stømer; Peter Dieckmann; Thomas Laudal; Kristi Bjørnes Skeie; Sigrun Anna Qvindesland; Hege Langli Ersdal
Journal:  BMC Health Serv Res       Date:  2022-04-26       Impact factor: 2.908

  2 in total

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