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Implementing healthcare professionals’ training during COVID-19: a pre and post-test design for simulation training

ABSTRACT

BACKGROUND:

Coronavirus disease-19 (COVID-19) has imposed a new reality that presents several challenges for healthcare professionals. The main challenge has been the lack of proper training in relation to an unknown disease.

OBJECTIVE:

To investigate healthcare professionals’ acquisition of knowledge of a new airway management protocol for COVID-19 through their participation in simulation training.

DESIGN AND SETTING:

Pre and post-test study with purpose sampling, carried out in a tertiary-level hospital in the city of Campinas, state of São Paulo, Brazil.

METHODS:

This was a cross-sectional pre and post-test intervention among healthcare professionals working in the intensive care unit and emergency department of a large hospital. The training was carried out using an in situ simulation scenario and the participants answered pre and post-tests consisting of a 20-item questionnaire about the new protocol.

RESULTS:

The paired-sample t test demonstrated that there was a significant increase in test score (t = −19.06; P < 0.001), from before the training (M = 8.62; standard deviation, SD = 3.53) to after the simulation training (M = 17.02; SD = 1.76).

CONCLUSIONS:

The simulated training had a positive impact on the healthcare professionals’ acquisition of the COVID-19 protocol. We also demonstrated that in situ simulation training was an efficient tool for implementing new protocols, thus bringing benefits to healthcare systems, professionals and patients.

KEY WORDS (MeSH terms):
Coronavirus; SARS virus; Simulation training; Health Personnel; SARS-CoV-2

AUTHORS’ KEY WORDS:
Simulation; Healthcare professionals; Knowledge acquisition; Airway management protocol

INTRODUCTION

Coronavirus disease-19 (COVID-19) has imposed a new reality through the pandemic that it has caused, and this presents challenges to healthcare professionals and systems. The high rate of transmissibility of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), through droplets, aerosols and contaminated surfaces, has led to development of strict protocols for individual and collective protection for patient care,11. World Health Organization. Clinical management of severe acute respiratory infection when novel coronavirus (2019-nCoV) infection is suspected: interim guidance; 2020. Available from: https://apps.who.int/iris/handle/10665/330893. Accessed in 2021 (Feb 2).
https://apps.who.int/iris/handle/10665/3...
,22. Secretaria de Atenção Primária à Saüde (SAPS). Protocolo de manejo clínico do coronavírus (COVID-19) na atenção primária à saúde. Brasília: Ministério da Saüde; 2020. Available from: https://www.saude.gov.br/images/pdf/2020/marco/20/20200318-ProtocoloManejo-ver002.pdf. Accessed in 2021 (Feb 2).
https://www.saude.gov.br/images/pdf/2020...
which have been implemented throughout hospitals. Adaptations to protocols for procedures have been brought in, including use of alternative medications to minimize virus transmission in aerosol-producing procedures, donning and doffing of personal protective equipment (PPE) and other measures.

The implementation of these new protocols has required training for all front-line healthcare workers, without endangering them or their patients. Use of simulations may be an appropriate way for providing training since this replicates real-environment situations in a safe environment, and thus protects both patients and professionals from unnecessary risks. Simulation training has been widely used for continuing professional development, in order to train healthcare professionals in relation to new systems, thereby enabling them to remain up-to-date regarding new demands and protocols within their clinical practice.33. Warmuth JF. In search of the impact of continuing education. J Contin Educ Nurs. 1987;18(1):4-7. PMID: 3102579; https://doi.org/10.3928/0022-0124-19870101-04.
https://doi.org/10.3928/0022-0124-198701...
,44. Hoffmann R, O’Donnell J, Kim Y. The effects of human patient simulators on basic knowledge in critical care nursing with undergraduate senior baccalaureate nursing students. Simul Healthc. 2007;2(2):110-4. PMID: 19088615; https://doi.org/10.1097/SIH.0b013e318033abb5.
https://doi.org/10.1097/SIH.0b013e318033...
,55. Okuda Y, Bryson EO, DeMaria S Jr, et al. The utility of simulation in medical education: what is the evidence? Mt Sinai J Med. 2009;76(4):330-43. PMID: 19642147; https://doi.org/10.1002/msj.20127.
https://doi.org/10.1002/msj.20127...
,66. Zinsmaster J, Vliem S. The Influence of High-Fidelity Simulation on Knowledge Gain and Retention. Nurs Educ Perspect. 2016;37(5):289-90. PMID: 27740565; https://doi.org/10.1097/01.NEP.0000000000000028.
https://doi.org/10.1097/01.NEP.000000000...
,77. Haukedal TA, Reierson IÅ, Hedeman H, Bjørk IT. The Impact of a New Pedagogical Intervention on Nursing Students’ Knowledge Acquisition in Simulation-Based Learning: A Quasi-Experimental Study. Study. Nurs Res Pract. 2018;2018:7437386. PMID: 30363931; https://doi.org/10.1155/2018/7437386.
https://doi.org/10.1155/2018/7437386...
Simulation has played a key role in testing and implementing new workflow structures, new protocols and cognitive resources,88. Dubé M, Jones B, Kaba A, et al. Preventing Harm: Testing and Implementing Health Care Protocols. Clinical Simulation in Nursing. 2020;44:3-11. https://doi.org/10.1016/j.ecns.2019.10.006.
https://doi.org/10.1016/j.ecns.2019.10.0...
through offering participants the possibility to practice rare and critical events in a controlled environment.99. Akhu-Zaheya LM, Gharaibeh MK, Alostaz ZM. Effectiveness of Simulation on Knowledge Acquisition, Knowledge Retention, and Self-Efficacy of Nursing Students in Jordan. Clinical Simulation in Nursing. 2013;9(9):e335-e342; https://doi.org/10.1016/j.ecns.2012.05.001.
https://doi.org/10.1016/j.ecns.2012.05.0...

In the current pandemic, simulation has been shown to be useful for testing healthcare systems, processes and new protocols.1010. Brydges R, Campbell DM, Beavers L, et al. Lessons learned in preparing for and responding to the early stages of the COVID-19 pandemic: one simulation’s program experience adapting to the new normal. Adv Simul (Lond). 2020;5:8. PMID: 32514385; https://doi.org/10.1186/s41077-020-00128-y.
https://doi.org/10.1186/s41077-020-00128...
,1111. Fregene TE, Nadarajah P, Buckley JF, Bigham S, Nangalia V. Use of in situ simulation to evaluate the operational readiness of a high-consequence infectious disease intensive care unit. Anaesthesia. 2020;75(6):733-8. PMID: 32221964; https://doi.org/10.1111/anae.15048.
https://doi.org/10.1111/anae.15048...
,1212. Wong J, Goh QY, Tan Z, et al. Preparing for a COVID-19 pandemic: a review of operating room outbreak response measures in a large tertiary hospital in Singapore. Can J Anaesth. 2020;67(6):732-45. PMID: 32162212; https://doi.org/10.1007/s12630-020-01620-9.
https://doi.org/10.1007/s12630-020-01620...
,1313. Aljahany M, Alassaf W, Alibrahim AA, et al. Use of In Situ Simulation to Improve Emergency Department Readiness for the COVID-19 Pandemic. Prehosp Disaster Med. 2021;36(1):6-13. PMID: 33081859; https://doi.org/10.1017/S1049023X2000134X.
https://doi.org/10.1017/S1049023X2000134...
,1414. Brazil V, Lowe B, Ryan L, et al. Translational simulation for rapid transformation of health services, using the example of the COVID-19 pandemic preparation. Adv Simul (Lond). 2020;5:9. PMID: 32514386; https://doi.org/10.1186/s41077-020-00127-z.
https://doi.org/10.1186/s41077-020-00127...
,1515. Dubé M, Kaba A, Cronin T, et al. COVID-19 pandemic preparation: using simulation for systems-based learning to prepare the largest healthcare workforce and system in Canada. Adv Simul (Lond). 2020;5:22. PMID: 32821441; https://doi.org/10.1186/s41077-020-00138-w.
https://doi.org/10.1186/s41077-020-00138...
Moreover, studies have shown that simulation is an appropriate teaching tool that has the capacity to quickly prepare frontline teams for changes that are necessary, through generating gains in knowledge and skills.1010. Brydges R, Campbell DM, Beavers L, et al. Lessons learned in preparing for and responding to the early stages of the COVID-19 pandemic: one simulation’s program experience adapting to the new normal. Adv Simul (Lond). 2020;5:8. PMID: 32514385; https://doi.org/10.1186/s41077-020-00128-y.
https://doi.org/10.1186/s41077-020-00128...
,1313. Aljahany M, Alassaf W, Alibrahim AA, et al. Use of In Situ Simulation to Improve Emergency Department Readiness for the COVID-19 Pandemic. Prehosp Disaster Med. 2021;36(1):6-13. PMID: 33081859; https://doi.org/10.1017/S1049023X2000134X.
https://doi.org/10.1017/S1049023X2000134...
,1616. Naik N, Finkelstein RA, Howell J, Rajwani K, Ching K. Telesimulation for COVID-19 Ventilator Management Training With Social-Distancing Restrictions During the Coronavirus Pandemic. Simulation & Gaming. 2020;51(4):571-7. https://doi.org/10.1177/1046878120926561.
https://doi.org/10.1177/1046878120926561...
,1717. Li L, Lin M, Wang X, Bao P, Li Y. Preparing and responding to 2019 novel coronavirus with simulation and technology-enhanced learning for healthcare professionals: challenges and opportunities in China. BMJ Simul Technol Enhanc Learn. 2020;6(4):196-8. PMID: 32832099; https://doi.org/10.1136/bmjstel-2020-000609.
https://doi.org/10.1136/bmjstel-2020-000...

Healthcare professionals have become protagonists in this new reality. For safe and effective care to be developed, it necessary to train these professionals in large numbers, in settings ranging from primary care to quaternary-level hospitals. Given the high rate of transmissibility of COVID-19, simulation training can ensure individual, team and system readiness1717. Li L, Lin M, Wang X, Bao P, Li Y. Preparing and responding to 2019 novel coronavirus with simulation and technology-enhanced learning for healthcare professionals: challenges and opportunities in China. BMJ Simul Technol Enhanc Learn. 2020;6(4):196-8. PMID: 32832099; https://doi.org/10.1136/bmjstel-2020-000609.
https://doi.org/10.1136/bmjstel-2020-000...
while increasing patient and professional safety.

OBJECTIVE

To investigate healthcare professionals’ acquisition of knowledge of a new airway management protocol for COVID-19 through their participation in simulation training.

METHODS

This was a pre and post-test study with purpose sampling that was conducted between March 31 and April 14, 2020. The data for this study came from an institutional training protocol for healthcare professionals working in the intensive care unit and emergency department of a large hospital. The simulated training was carried out in situ using PPE and a high-fidelity simulator. Participants answered a pre-test and a post-test consisting of 20 questions with very short answers, on donning and doffing (five questions), oxygen therapy for patients with acute respiratory distress syndrome (ARDS) due to COVID-19 (four questions), orotracheal intubation (five questions), and choice of medication for starting mechanical ventilation (six questions) (Appendix 1). The maximum possible score for the test was 20.

The training offered to the participants consisted of the following steps:
  1. Pre-test.

  2. Simulation training on donning of personal protective equipment (PPE). The instructors carried out the demonstration and gave instructions to the participants. Then, the participants performed individual practical training.

  3. Participation in an interdisciplinary simulation scenario. The participants received a briefing with the necessary instructions. The objective was to teach the new COVID-19 protocol, focusing on making a clinical diagnosis of likely COVID-19 infection and recognizing acute respiratory failure, followed by use of orotracheal intubation and choosing the medication for starting mechanical ventilation. This scenario is shown in Appendix 2.

  4. Practical training on doffing of PPE. After the scenario had been described, the participants received instructions and a demonstration of the technique, and performed individual practical training.

  5. Debriefing. After the doffing training, the participants discussed and reflected on contamination, the decision to intubate and the COVID-19 protocol, guided by instructors experienced in the COVID-19 protocol and the simulation methodology.

  6. Post-test.

For data analysis, we used a paired-sample t test to investigate the difference between the pre and post-test scores. The data were analyzed using IBM-SPSS version 27.0 (IBM Corporation, Armonk, New York, United States)

This study was approved by our university’s Ethics Committee (protocol number 3.943.505; date of approval March 30, 2020). Written informed consent was obtained from all participants.

The sample represented a small proportion of the total number of participants in the institutional training protocol. Due to the urgency of preparing the frontline team to face COVID-19, the managers of the hospital and the authors of this study came together to develop a training program for all doctors, nurses and physiotherapists. Since the physiotherapists were in the first training sessions, they were not included in the present study.

The training protocol started as a proposal from this hospital for coping with the COVID-19 pandemic. At a time when most of the employees had already undergone training, the authors submitted this study to the local Ethics Committee and obtained ethical approval for it during the final training phase, when a small number of employees were still waiting for training.

RESULTS

Forty-eight professionals participated in this study. Most of them were doctors (68.7%), followed by nurses (18.8%) and nursing technicians (12.5%). Among all the participants, 79.2% were female. The participants’ ages ranged from 23 to 48 years, with an average of 31.96 years and a standard deviation of 7.11.

The paired-sample t test demonstrated that there was a significant increase in test score (t = −19.06; P < 0.001) from before the training (M = 8.62, standard deviation, SD = 3.53) to after the simulation training (M = 17.02; SD = 1.76). Significant increases from before to after the simulation training were also found in the subdomains (Table 1).

Table 1
Mean, standard deviation (SD), t and P-value of the subdomains of the knowledge test

DISCUSSION

In this study, we investigated healthcare professionals’ acquisition of a new airway management protocol for COVID-19 in a large hospital. We found evidence of a significant and considerable improvement from before to after training, which was in line with previous data in the literature.44. Hoffmann R, O’Donnell J, Kim Y. The effects of human patient simulators on basic knowledge in critical care nursing with undergraduate senior baccalaureate nursing students. Simul Healthc. 2007;2(2):110-4. PMID: 19088615; https://doi.org/10.1097/SIH.0b013e318033abb5.
https://doi.org/10.1097/SIH.0b013e318033...
77. Haukedal TA, Reierson IÅ, Hedeman H, Bjørk IT. The Impact of a New Pedagogical Intervention on Nursing Students’ Knowledge Acquisition in Simulation-Based Learning: A Quasi-Experimental Study. Study. Nurs Res Pract. 2018;2018:7437386. PMID: 30363931; https://doi.org/10.1155/2018/7437386.
https://doi.org/10.1155/2018/7437386...
Our data also corroborated studies that showed that simulation was essential for developing, testing, refining and implementing new workflows and protocols in healthcare.88. Dubé M, Jones B, Kaba A, et al. Preventing Harm: Testing and Implementing Health Care Protocols. Clinical Simulation in Nursing. 2020;44:3-11. https://doi.org/10.1016/j.ecns.2019.10.006.
https://doi.org/10.1016/j.ecns.2019.10.0...
,1010. Brydges R, Campbell DM, Beavers L, et al. Lessons learned in preparing for and responding to the early stages of the COVID-19 pandemic: one simulation’s program experience adapting to the new normal. Adv Simul (Lond). 2020;5:8. PMID: 32514385; https://doi.org/10.1186/s41077-020-00128-y.
https://doi.org/10.1186/s41077-020-00128...
,1111. Fregene TE, Nadarajah P, Buckley JF, Bigham S, Nangalia V. Use of in situ simulation to evaluate the operational readiness of a high-consequence infectious disease intensive care unit. Anaesthesia. 2020;75(6):733-8. PMID: 32221964; https://doi.org/10.1111/anae.15048.
https://doi.org/10.1111/anae.15048...
,1818. Abrahamson SD, Canzian S, Brunet F. Using simulation for training and to change protocol during the outbreak of severe acute respiratory syndrome. Crit Care. 2006;10(1):R3. PMID: 16356209; https://doi.org/10.1186/cc3916.
https://doi.org/10.1186/cc3916...
,1919. Shrestha A, Shrestha A, Sonnenberg T, Shrestha R. COVID-19 Emergency Department Protocols: Experience of Protocol Implementation Through in-situ Simulation. Open Access Emerg Med. 2020;12:293-303. PMID: 33116965; https://doi.org/10.2147/OAEM.S266702.
https://doi.org/10.2147/OAEM.S266702...
This was also essential in the context of the COVID-19 pandemic, in which we trained healthcare professionals on the new protocol for safe and effective care of patients with COVID-19.

We chose in situ simulation because of the necessity to train healthcare professionals while they continued to do their clinical work. Thus, we organized training sessions in the mornings, afternoons and nights. In situ training also decreased the circulation of healthcare professionals throughout the university, thus avoiding exposing vulnerable people to the risks of COVID-19. Furthermore, these healthcare professionals remained close to their units, which allowed them to respond to any emergency when necessary. In situ simulation is a fast and efficient way for training a multidisciplinary team because training takes place during the team’s hours of service, using the workplace resources.1919. Shrestha A, Shrestha A, Sonnenberg T, Shrestha R. COVID-19 Emergency Department Protocols: Experience of Protocol Implementation Through in-situ Simulation. Open Access Emerg Med. 2020;12:293-303. PMID: 33116965; https://doi.org/10.2147/OAEM.S266702.
https://doi.org/10.2147/OAEM.S266702...

In this study, we decided to use questions with very short answers. Use of questions of this nature made it possible to assess the participants’ knowledge without giving any clues about the correct answer. This was especially important because our sample was composed of experienced healthcare professionals who would have the capacity to deduce the correct answer by looking at the alternatives. Moreover, it was easier to grade the results than it would have been if essay questions had been used. Lastly, questions with very short answers have been shown to have the same psychometric properties as standard multiple-choice questions, while avoiding recognition of the correct answer.2020. Sam AH, Field SM, Collares CF, et al. Very-short-answer questions: reliability, discrimination and acceptability. Med Educ. 2018;52(4):447-55. PMID: 29388317; https://doi.org/10.1111/medu.13504.
https://doi.org/10.1111/medu.13504...

This study had some limitations. First, the purposing sample may have limited the generalizability of our findings. Another limitation was that we used a one-group pre and post-test design. Both the sampling and the study design were selected because of the importance of training frontline workers and we designed the simulation training based on the best evidence available.

Most importantly, we demonstrated the possibility and usefulness of simulation training during COVID-19. Lastly, we focused mostly on knowledge acquisition, since all the frontline workers were skillful with regard to airway management but lacked expertise relating to the new protocol.

CONCLUSIONS

The simulated training had a positive impact on the healthcare professionals’ acquisition of the COVID-19 protocol. We also demonstrated that in situ simulation training was an efficient tool for implementing new protocols, thus bringing benefits to healthcare systems, professionals and patients.

Appendix 1


Questions: pre and post-test

Appendix 2


Scenario of severe acute respiratory syndrome (SARS) due to coronavirus disease-19 (COVID-19).
  • Universidade Estadual de Campinas (UNICAMP), Campinas (SP), Brazil
  • Sources of funding: This research was partially funded by FAPESP – São Paulo Research Foundation [regular grant number 2020/04909-7] awarded to Dario Cecilio-Fernandes and [postdoctoral grant number 2020/07132-3] awarded to Danielle Rachel dos Santos Carvalho. The funder had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript

Acknowledgement:

The authors would like to acknowledge the support given to them by Laerdal Foundation, which provided the high-fidelity simulator for training. This research was partially funded by FAPESP – São Paulo Research Foundation [regular grant number 2020/04909-7] awarded to Dario Cecilio-Fernandes and [postdoctoral grant number 2020/07132-3] awarded to Danielle Rachel dos Santos Carvalho. The funder had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript

REFERENCES

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    World Health Organization. Clinical management of severe acute respiratory infection when novel coronavirus (2019-nCoV) infection is suspected: interim guidance; 2020. Available from: https://apps.who.int/iris/handle/10665/330893 Accessed in 2021 (Feb 2).
    » https://apps.who.int/iris/handle/10665/330893
  • 2
    Secretaria de Atenção Primária à Saüde (SAPS). Protocolo de manejo clínico do coronavírus (COVID-19) na atenção primária à saúde. Brasília: Ministério da Saüde; 2020. Available from: https://www.saude.gov.br/images/pdf/2020/marco/20/20200318-ProtocoloManejo-ver002.pdf Accessed in 2021 (Feb 2).
    » https://www.saude.gov.br/images/pdf/2020/marco/20/20200318-ProtocoloManejo-ver002.pdf
  • 3
    Warmuth JF. In search of the impact of continuing education. J Contin Educ Nurs. 1987;18(1):4-7. PMID: 3102579; https://doi.org/10.3928/0022-0124-19870101-04
    » https://doi.org/10.3928/0022-0124-19870101-04
  • 4
    Hoffmann R, O’Donnell J, Kim Y. The effects of human patient simulators on basic knowledge in critical care nursing with undergraduate senior baccalaureate nursing students. Simul Healthc. 2007;2(2):110-4. PMID: 19088615; https://doi.org/10.1097/SIH.0b013e318033abb5
    » https://doi.org/10.1097/SIH.0b013e318033abb5
  • 5
    Okuda Y, Bryson EO, DeMaria S Jr, et al. The utility of simulation in medical education: what is the evidence? Mt Sinai J Med. 2009;76(4):330-43. PMID: 19642147; https://doi.org/10.1002/msj.20127
    » https://doi.org/10.1002/msj.20127
  • 6
    Zinsmaster J, Vliem S. The Influence of High-Fidelity Simulation on Knowledge Gain and Retention. Nurs Educ Perspect. 2016;37(5):289-90. PMID: 27740565; https://doi.org/10.1097/01.NEP.0000000000000028
    » https://doi.org/10.1097/01.NEP.0000000000000028
  • 7
    Haukedal TA, Reierson IÅ, Hedeman H, Bjørk IT. The Impact of a New Pedagogical Intervention on Nursing Students’ Knowledge Acquisition in Simulation-Based Learning: A Quasi-Experimental Study. Study. Nurs Res Pract. 2018;2018:7437386. PMID: 30363931; https://doi.org/10.1155/2018/7437386
    » https://doi.org/10.1155/2018/7437386
  • 8
    Dubé M, Jones B, Kaba A, et al. Preventing Harm: Testing and Implementing Health Care Protocols. Clinical Simulation in Nursing. 2020;44:3-11. https://doi.org/10.1016/j.ecns.2019.10.006
    » https://doi.org/10.1016/j.ecns.2019.10.006» https://doi.org/10.1016/j.ecns.2019.10.006
  • 9
    Akhu-Zaheya LM, Gharaibeh MK, Alostaz ZM. Effectiveness of Simulation on Knowledge Acquisition, Knowledge Retention, and Self-Efficacy of Nursing Students in Jordan. Clinical Simulation in Nursing. 2013;9(9):e335-e342; https://doi.org/10.1016/j.ecns.2012.05.001
    » https://doi.org/10.1016/j.ecns.2012.05.001» https://doi.org/10.1016/j.ecns.2012.05.001
  • 10
    Brydges R, Campbell DM, Beavers L, et al. Lessons learned in preparing for and responding to the early stages of the COVID-19 pandemic: one simulation’s program experience adapting to the new normal. Adv Simul (Lond). 2020;5:8. PMID: 32514385; https://doi.org/10.1186/s41077-020-00128-y
    » https://doi.org/10.1186/s41077-020-00128-y
  • 11
    Fregene TE, Nadarajah P, Buckley JF, Bigham S, Nangalia V. Use of in situ simulation to evaluate the operational readiness of a high-consequence infectious disease intensive care unit. Anaesthesia. 2020;75(6):733-8. PMID: 32221964; https://doi.org/10.1111/anae.15048
    » https://doi.org/10.1111/anae.15048
  • 12
    Wong J, Goh QY, Tan Z, et al. Preparing for a COVID-19 pandemic: a review of operating room outbreak response measures in a large tertiary hospital in Singapore. Can J Anaesth. 2020;67(6):732-45. PMID: 32162212; https://doi.org/10.1007/s12630-020-01620-9
    » https://doi.org/10.1007/s12630-020-01620-9
  • 13
    Aljahany M, Alassaf W, Alibrahim AA, et al. Use of In Situ Simulation to Improve Emergency Department Readiness for the COVID-19 Pandemic. Prehosp Disaster Med. 2021;36(1):6-13. PMID: 33081859; https://doi.org/10.1017/S1049023X2000134X
    » https://doi.org/10.1017/S1049023X2000134X
  • 14
    Brazil V, Lowe B, Ryan L, et al. Translational simulation for rapid transformation of health services, using the example of the COVID-19 pandemic preparation. Adv Simul (Lond). 2020;5:9. PMID: 32514386; https://doi.org/10.1186/s41077-020-00127-z
    » https://doi.org/10.1186/s41077-020-00127-z
  • 15
    Dubé M, Kaba A, Cronin T, et al. COVID-19 pandemic preparation: using simulation for systems-based learning to prepare the largest healthcare workforce and system in Canada. Adv Simul (Lond). 2020;5:22. PMID: 32821441; https://doi.org/10.1186/s41077-020-00138-w
    » https://doi.org/10.1186/s41077-020-00138-w
  • 16
    Naik N, Finkelstein RA, Howell J, Rajwani K, Ching K. Telesimulation for COVID-19 Ventilator Management Training With Social-Distancing Restrictions During the Coronavirus Pandemic. Simulation & Gaming. 2020;51(4):571-7. https://doi.org/10.1177/1046878120926561
    » https://doi.org/10.1177/1046878120926561» https://doi.org/10.1177/1046878120926561
  • 17
    Li L, Lin M, Wang X, Bao P, Li Y. Preparing and responding to 2019 novel coronavirus with simulation and technology-enhanced learning for healthcare professionals: challenges and opportunities in China. BMJ Simul Technol Enhanc Learn. 2020;6(4):196-8. PMID: 32832099; https://doi.org/10.1136/bmjstel-2020-000609
    » https://doi.org/10.1136/bmjstel-2020-000609
  • 18
    Abrahamson SD, Canzian S, Brunet F. Using simulation for training and to change protocol during the outbreak of severe acute respiratory syndrome. Crit Care. 2006;10(1):R3. PMID: 16356209; https://doi.org/10.1186/cc3916
    » https://doi.org/10.1186/cc3916
  • 19
    Shrestha A, Shrestha A, Sonnenberg T, Shrestha R. COVID-19 Emergency Department Protocols: Experience of Protocol Implementation Through in-situ Simulation. Open Access Emerg Med. 2020;12:293-303. PMID: 33116965; https://doi.org/10.2147/OAEM.S266702
    » https://doi.org/10.2147/OAEM.S266702
  • 20
    Sam AH, Field SM, Collares CF, et al. Very-short-answer questions: reliability, discrimination and acceptability. Med Educ. 2018;52(4):447-55. PMID: 29388317; https://doi.org/10.1111/medu.13504
    » https://doi.org/10.1111/medu.13504

Publication Dates

  • Publication in this collection
    09 Aug 2021
  • Date of issue
    Aug-Sep 2021

History

  • Received
    12 Mar 2021
  • Reviewed
    27 Apr 2021
  • Accepted
    27 May 2021
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