The important role of in-situ simulation in preparing surgeons for the COVID-19 pandemic

Montauban, Pierre; Balakumar, Charannya; Rait, Jaideep; Zarsadias, Prizzi; Iqbal, Sara; Aravind, Biju; Shrestha, Ashish Lal; Fernandes, Roland; Shah, Ankur; Basnyat, Pradeep; Harinath, G.; Basu, Sanjoy; Featherstone, Barry; Adams, Lawrence; Merh, Radhika; Nikolaou, Stella; Abdel-Rahim, Ahmed M.; Mangam, Sudhakar; Sebastian, Joseph; Mohamed, Hesham; Kawabata, Martin; Dmitrowicz, Aleksandra

doi:10.1016/j.surge.2020.08.013

Cited by 3 publications

(5 citation statements)

References 17 publications

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“…The study characteristics are presented in the Table 1. Most of the studies on simulation-based training were developed in response to SARS-CoV-2 (n = 117, 79.1%) 6–8,16–128 . Eighteen were motivated by Ebola outbreaks (12.2%), 129–146 7 by influenza (4.7%), 147–153 3 by MERS (2%), 154–156 and 3 by pandemics in general (2%) 157–159 …”

Section: Resultsmentioning

confidence: 99%

Health Care Simulation as a Training Tool for Epidemic Management

et al. 2023

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Summary StatementThe objective of this research was to identify and review studies that have evaluated the impact of simulation-based training on health care professionals during epidemics.All studies in health care simulation-based training published during the last 5 epidemics with a global impact (SARS-CoV, H1N1, MERS, Ebola, SARS-CoV-2; through July 2021) were selected from a systematic search of PUBMED, EMBASE, and key journals.The search strategy identified 274 studies; 148 met the inclusion criteria and were included. Most of the studies were developed in response to SARS-CoV-2 infection (n = 117, 79.1%), used a descriptive approach (n = 54, 36.5%), and were used to train technical skills (n = 82, 55.4%).This review demonstrates a growing interest in publications related to health care simulation and epidemics. Most of the literature is marked by limited study designs and outcome measurements, although there is a trend toward the use of more refined methodologies in the most recent publications. Further research should seek the best evidence-based instructional strategies to design training programs in preparation for future outbreaks.

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Section: Resultsmentioning

confidence: 99%

Health Care Simulation as a Training Tool for Epidemic Management

et al. 2023

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“…One key role of simulation is to optimize the processes of pandemic response for patients, providers, and the healthcare system. For example, studies have used team-based interprofessional in situ simulation to detect latent safety threats and enhance the quality of care 2,3,5,6 . Others have examined strategies to minimize contamination exposure to healthcare workers 7,8 and improve personal protective equipment (PPE) donning and doffing training 9 .…”

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confidence: 99%

“…For example, studies have used team-based interprofessional in situ simulation to detect latent safety threats and enhance the quality of care. 2,3,5,6 Others have examined strategies to minimize contamination exposure to healthcare workers 7,8 and improve personal protective equipment (PPE) donning and doffing training. 9 Provider exposure to communicable disease poses a serious threat to the viability of the healthcare workforce during a pandemic.…”

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confidence: 99%

“…Healthcare simulation has been foundational in the response to communicable disease pandemics, including Ebola, 1–3 H1N1 influenza, 4 and other contaminants 5,6 . One key role of simulation is to optimize the processes of pandemic response for patients, providers, and the healthcare system.…”

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confidence: 99%

“…Heal thcare simulation has been foundational in the response to communicable disease pandemics, including Ebola, [1][2][3] H1N1 influenza, 4 and other contaminants. 5,6 One key role of simulation is to optimize the processes of pandemic response for patients, providers, and the healthcare system. For example, studies have used team-based interprofessional in situ simulation to detect latent safety threats and enhance the quality of care.…”

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confidence: 99%

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Quantifying Simulated Contamination Deposition on Healthcare Providers Using Image Analysis

Lin¹,

Cheng²,

Pirie³

et al. 2022

Sim Healthcare

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IntroductionSimulation-based research has played an important role in improving care for communicable diseases. Unfortunately, few studies have attempted to quantify the level of contamination in these simulation activities. We aim to assess the feasibility and provide validity evidence for using integrated density values and area of contamination (AOC) to differentiate various levels of simulated contamination.MethodsAn increasing number of simulated contamination spots using fluorescent marker were applied on a manikin chest to simulate a contaminated healthcare provider. An ultraviolet light was used to illuminate the manikin to highlight the simulated contamination. Images of increasing contamination levels were captured using a camera with different exposure settings. Image processing software was used to measure 2 outcomes: (1) natural logarithm of integrated density; and (2) AOC. Mixed-effects linear regression models were used to assess the effect of contamination levels and exposure settings on both outcome measures. A standardized “proof-of-concept” exercise was set up to calibrate and formalize the process for human subjects.ResultsA total of 140 images were included in the analyses. Dose-response relationships were observed between contamination levels and both outcome measures. For each increment in the number of contaminated simulation spots (ie, simulated contaminated area increased by 38.5 mm2), on average, log-integrated density increased by 0.009 (95% confidence interval, 0.006–0.012; P < 0.001) and measured AOC increased by 37.8 mm2 (95% confidence interval, 36.7–38.8 mm2; P < 0.001), which is very close to actual value (38.5 mm2). The “proof-of-concept” demonstration further verified results.ConclusionsIntegrated density and AOC measured by image processing can differentiate various levels of simulated, fluorescent contamination. The AOC measured highly agrees with the actual value. This method should be optimized and used in the future research to detect simulated contamination deposited on healthcare providers.

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Effect of Simulation-Based Education on the Preparedness of Healthcare Professionals for the COVID-19 Pandemic: a systematic review and meta-analysis

Maheu‐Cadotte

Lapierre

Fontaine

et al. 2021

snahp

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Introduction: Healthcare organizations around the world have embraced simulation to prepare healthcare professionals to the COVID-19 pandemic. However, this pandemic implies additional educational challenges in rapidly designing simulation activities, while remaining compliant with health and safety measures to prevent the spread of the virus. The effect of simulation-based education in this context remains to be evaluated. Objective: The purpose of this systematic review was to describe the features and evaluate the effect of simulation activities on the preparedness of healthcare professionals and students to safely deliver care during the COVID-19 pandemic. Methods: Databases were searched up to November 2020 using index terms and keywords related to healthcare professions, simulation, and COVID-19. All learning outcomes were considered according to the Kirkpatrick model adapted by Barr et al. (2020). Reference selection, data extraction, and quality assessment were performed in pairs and independently. Results were synthesized using meta-analytical methods and narrative summaries. Results: 22 studies were included, 21 of which were single-group studies and 14 of those included pretest/posttest assessments. Simulation activities were mostly implemented in clinical settings using manikins for training on the use of personal protective equipment, hand hygiene, identification and management of COVID-19 patients, and work processes and patient flow. Large improvements in learning outcomes after simulation activities were reported in all studies. Discussion and conclusion: Results should be interpreted cautiously due to significant threats to the internal validity of studies and the absence of control groups. However, these findings are coherent with the overall evidence on the positive effect of simulation-based education. Future studies should include control groups if feasible.

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The important role of in-situ simulation in preparing surgeons for the COVID-19 pandemic

Cited by 3 publications

References 17 publications

Health Care Simulation as a Training Tool for Epidemic Management

Health Care Simulation as a Training Tool for Epidemic Management

Quantifying Simulated Contamination Deposition on Healthcare Providers Using Image Analysis

Effect of Simulation-Based Education on the Preparedness of Healthcare Professionals for the COVID-19 Pandemic: a systematic review and meta-analysis

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