Skip to main content
Elsevier - PMC COVID-19 Collection logoLink to Elsevier - PMC COVID-19 Collection
letter
. 2020 May 6;125(2):e257–e259. doi: 10.1016/j.bja.2020.04.081

Rapid training of healthcare staff for protected cardiopulmonary resuscitation in the COVID-19 pandemic

Theng W Foong 1,, Elizabeth S Hui Ng 1, Cicely Y Wee Khoo 1, Balakrishnan Ashokka 1, Deborah Khoo 1, Rohit Agrawal 1
PMCID: PMC7200384  PMID: 32416987

Editor—The coronavirus disease 2019 (COVID-19) outbreak has precipitated a global pandemic. ICU admissions are required in 16–32% of the patients hospitalised for COVID-19.1, 2, 3 Healthcare worker infection was reported to be as high as 20% in various countries, especially when they were unprepared or had not donned adequate personal protective equipment (PPE).4 , 5 We sought to mitigate risks to our patients and healthcare personnel by conducting group simulation sessions aimed at identifying unanticipated issues that arise during a Protected Code Blue while caring for COVID-19 patients, which involved rapid cohort training and workflow improvements.6 The Singapore National Healthcare Group Domain Specific Review Board Ethics Committee approved this study.

Each session consisted of an in situ simulation conducted utilising a negative-pressure room within the ICU. The target participants included medical and nursing practitioners from ICUs and high dependency units. A standardised scenario was used in all simulation sessions: 30 yr-old woman with COVID-19 presenting with worsening respiratory distress prompting a first responder nurse to attend to her. She subsequently develops a pulseless electrical activity (PEA) arrest secondary to hypoxaemia leading to code blue (cardiopulmonary resuscitation) activation by the first responder nurse. The simulation was facilitated by an intensivist and a nurse educator. Each simulation session consisted of eight to 10 participants: two doctors and three nurses (total of five) were actively involved in the scenario, while the rest were observers. Each simulation session involved new participants who had not observed or participated in previous sessions. A total of six sessions of simulation were conducted over 2 weeks with a total of 50% of the nurses and 80% of the doctors in the unit completing the cohort training.

Before each simulation session, participants were briefed on our institutional PPE protocol. The first responder dons PPE, which includes an N95 respirator mask, goggles, disposable full-body protective gown, and head cover.7 The code blue responders don a powered air-purifying respirator (PAPR) in addition to PPE as per institutional guidelines for all aerosol-generating procedures. Debriefing was conducted after each simulation session. The lessons learnt from each simulation session were quickly disseminated to all staff in the unit through daily huddles in the ICU.

We evaluated team competency on the following components: appropriate PPE precautions for first responder, appropriate PPE and PAPR for code blue responders, effective brief handover of patient from first responder nurse to code blue responders, appropriate airway manipulation strategies, communication between staff in isolation room and runner nurse, adequacy of conduct of basic cardiac life support (BCLS) and advanced cardiac life support (ACLS), prevention of unnecessary equipment, and consumables from contamination, transfer of medications or samples to or from isolation room, appropriate doffing of PPE, and equipment check. These attributes were graded based on pass–fail that were predesigned by a team of intensivists. Team competency improved from an initial score of 40% to 60–70% with subsequent simulations (Supplementary Appendix S1).

Time taken for each of the key steps performed by the code response team was recorded. Time taken for the first responder to don PPE and attend to the patient ranged from 40 to 170 s. Time taken from code blue activation to first code blue responder attending to the patient wearing PPE and PAPR ranged from 3 min 11 s to 5 min 41 s. Average time taken for other code blue responders from code blue activation to attending to the patient wearing PPE and PAPR ranged from 3 min 50 s to 8 min 30 s. Time taken from cardiac arrest to successful intubation ranged from 5 min 7 s to 11 min 52 s. There was a reduction in total time taken for each of these key steps with the conduct of subsequent simulation sessions (Supplementary Appendix S2).

The following observations were made from the simulations on the ideal roles assumed by the response teams. Most experienced doctor's role: airway management; second code response doctor: medications; first code response nurse: assist with airway management; second code response nurse: relieve first responder nurse to do chest compressions; and first responder nurse: activated code blue and performed chest compressions. When the code response team arrived, the first responder nurse handed over the case to the code response team and functioned as a runner nurse outside the isolation room after proper doffing of PPE. The runner helped to limit staff movement between the isolation room and the rest of the ICU. During the resuscitation, flexibility of roles was required to optimise protection of staff and efficiency of resuscitation.

Pertinent issues identified included N95 masks were poorly applied, particularly during chest compressions, inappropriate donning of PPE by first responder, failure to comply to the standards of hand hygiene, failure to remove goggles appropriately particularly for staff who wear spectacles, failure to remove PAPR hood without dislodging N95 mask, and inappropriate decontamination of PAPR after usage. We have since conducted N95 mask fitting sessions and PPE and PAPR training sessions8 for all the acute care teams. To facilitate communications between staff inside the isolation room and the runner nurse, we implemented the use of a white board to minimise the need for opening of the isolation room door and its associated risk of cross contamination. PAPR battery failures and flow check failures were reported; hence we implemented a daily PAPR calibration check and procured replacement and standby batteries. Most issues were identified during the first two simulation sessions and were promptly addressed. Issues encountered are detailed in Supplementary Appendix S3.

Through these observations during in situ simulation sessions, we made key modifications to our existing practice to optimise workflows and infection prevention measures. We implemented intubation as a priority in resuscitation to minimise the extent and duration of aerosol-generating mask ventilation. We developed pre-packed COVID-19 packages for common procedures such as intubation, and intra-arterial and central venous line insertions to minimise the need for staff movement and associated risk of cross contamination. We also modified the layout of our ICU rooms with specific considerations for seamless donning and doffing of PPE and PAPR and provisions for hand hygiene (Fig 1 ).

Fig 1.

Fig 1

Modified layout of the ICU room for seamless donning and doffing of personal protective equipment and powered air-purifying respirator and for hand hygiene. PAPR, powered air-purifying respirator; PPE, personal protective equipment.

In conclusion, in situ simulation resulted in rapid cohort training evidenced by improvements in the time to key events in resuscitation and team competencies with each subsequent simulation session. The simulation sessions allowed testing and improvement of processes and training of staff through prompt sharing of lessons learnt from previous sessions to all staff, attributing to the improvement observed over the six sessions. A comparable approach emphasising the importance of infection prevention9 with similar findings has recently been reported from Hong Kong.10 We also achieved higher levels of educational outcomes (Level 4a BEME-Modified Kirkpatrick's level) with change in organisational practice or delivery of care, attributable to an educational program.11

Declarations of interest

The authors declare that they have no conflicts of interest.

Footnotes

Appendix A

Supplementary data to this article can be found online at https://doi.org/10.1016/j.bja.2020.04.081.

Appendix A. Supplementary data

The following is the supplementary data to this article:

Multimedia component 1
mmc1.zip (94.7KB, zip)

References

  • 1.Huang C., Wang Y., Li X. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395:497–506. doi: 10.1016/S0140-6736(20)30183-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Wang D., Hu B., Hu C. Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan, China. JAMA. 2020;323:1061–1069. doi: 10.1001/jama.2020.1585. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Guan W.-J., Ni Z.-Y., Hu Y. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med. 2020;382:1708–1720. doi: 10.1056/NEJMoa2002032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Lancet. COVID-19: protecting health-care workers. Lancet. 2020;395:922. doi: 10.1016/S0140-6736(20)30644-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Wang J., Zhou M., Liu F. Reasons for healthcare workers becoming infected with novel coronavirus disease 2019 (COVID-19) in China. J Hosp Infect. 2020;105(1):100–101. doi: 10.1016/j.jhin.2020.03.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Abrahamson S.D., Canzian S., Brunet F. Using simulation for training and to change protocol during the outbreak of severe acute respiratory syndrome. Crit Care. 2006;10:R3. doi: 10.1186/cc3916. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.WHO Rational use of personal protective equipment for coronavirus disease (COVID-19): interim guidance. World Health Organization, Geneva. https://apps.who.int/iris/bitstream/handle/10665/331215/WHO-2019-nCov-IPCPPE_use-2020.1-eng.pdf Available from.
  • 8.Chen Q, Lim B, Ong S, Wong W-Y, Kong Y-C. Rapid ramp-up of powered air-purifying respirator (PAPR) training for infection prevention and control during the COVID-19 pandemic. Br J Anaesth Adv Access Published on April 15, 2020, doi:10.1016/j.bja.2020.04.006 [DOI] [PMC free article] [PubMed]
  • 9.Odor PM, Neun M, Bampoe S, et al. Anaesthesia and COVID-19: infection control. Br J Anaesth Adv Access Published on April 8, 2020, doi:10.1016/j.bja.2020.03.025 [DOI] [PMC free article] [PubMed]
  • 10.Choi GYS, Wan WTP, Chan AKM, Tong SK, Poon ST, Joynt GM. Preparedness for COVID-19: in situ simulation to enhance infection control systems in the intensive care unit. Br J Anaesth Adv Access published on April 10, 2020, doi:10.1016/j.bja.2020.04.001 [DOI] [PMC free article] [PubMed]
  • 11.CreateSpace Independent Publishing Platform; Scotts Valley California: 2009. Kirkpatrick Then and Now: a strong foundation for the future. [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Multimedia component 1
mmc1.zip (94.7KB, zip)

Articles from BJA: British Journal of Anaesthesia are provided here courtesy of Elsevier

RESOURCES