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

Wenlock, Rhys; Arnold, Amy; Patel, Hiten D.; Kirtchuk, David

doi:10.7861/clinmed.2020-0142

Cited by 7 publications

(5 citation statements)

References 6 publications

(3 reference statements)

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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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“…In the US, a large community teaching hospital used in-situ simulation to revise their code blue protocol to meet COVID-19 challenges, and train staff [ 14 ]. Other studies have also investigated hospitals’ experiences from utilizing SBA during the COVID-19 pandemic, with varying focus; improving care and identifying safety issues [ 15 ], training hospital staff and system learning [ 16 ], preparing teams and environment for covid-19 patients [ 17 ], describing the use of simulation in covid-19 [ 18 ], observing safety threats and test possible solutions [ 19 ], process optimization [ 20 ], testing PPE in resuscitation [ 21 ] and devices as well as predicting resources and the contagiousness of the virus [ 22 – 27 ].…”

Section: Introductionmentioning

confidence: 99%

“…To improve teamwork capabilities, one needs to practice skills that require interactions to succeed which can be accomplished by teamwork simulations [ 16 , 30 , 35 , 37 ].…”

Section: Introductionmentioning

confidence: 99%

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

Stømer

Dieckmann

Laudal

et al. 2022

BMC Health Serv Res

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Introduction The first wave of the COVID-19 pandemic caused stress in healthcare organizations worldwide. Hospitals and healthcare institutions had to reorganize their services to meet the demands of the crisis. In this case study, we focus on the role of simulation as part of the pandemic preparations in a large hospital in Norway. The aim of this study is to explore hospital leaders' and simulation facilitators' expectations of, and experiences of utilizing simulation-based activities in the preparations for the COVID-19 pandemic. Methods This is a qualitative case study utilizing semi-structured in-depth interviews with hospital leaders and simulation facilitators in one large hospital in Norway. The data were sorted under three predefined research topics and further analyzed by inductive, thematic analysis according to Braun and Clarke within these pre-defined topics. Results Eleven members of the hospital leadership and simulation facilitators were included in the study. We identified four themes explaining why COVID-19 related simulation-based activities were initiated, and perceived consequences of the activities; 1) a multifaceted method like simulation fitted a multifaceted crisis, 2) a well-established culture for simulation in the hospital was crucial for scaling up simulation-based activities during the crisis, 3) potential risks were outweighed by the advantages of utilizing simulation-based activities, and finally 4) hospital leaders and simulation facilitators retrospectively assessed the use of simulation-based activities as appropriate to prepare for a pandemic crisis. Conclusions The hospital leadership’s decision to utilize simulation-based activities in preparing for the COVID-19 crisis may be explained by many factors. First, it seems that many years of experience with systematic use of simulation-based activities within the hospital can explain the trust in simulation as a valuable tool that were easy to reach. Second, both hospital leaders and simulation facilitators saw simulation as a unique tool for the optimization of the COVID-19 response due to the wide applicability of the method. According to hospital leaders and simulation facilitators, simulation-based activities revealed critical gaps in training and competence levels, treatment protocols, patient logistics, and environmental shortcomings that were acted upon, suggesting that institutional learning took place.

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“… 21 , 22 Among the few published protocols using alternative approaches, one interim report showed improved confidence and preparedness for COVID-19 cardiac arrest using a low-fidelity model, yet continued to rely on a time- and personnel-intensive simulation structure. 23 Prior to the pandemic, a scripted simulation structure was used for cardiac arrest training and resulted in improvements in team dynamics comparable to traditional high-fidelity simulation. 24 Similarly, Lee, Chen, Tosif, and Graham describe a “talk-through walk-through” approach for process development, testing, and education of endovascular clot retrieval in COVID-19 patients.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2022

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Introduction In-hospital cardiac arrest in patients with COVID-19 presents significant challenges to health care teams. Airborne precautions can delay patient care, place providers at high risk of virus exposure, and exacerbate an already stressful environment. Within the constraints of an ongoing pandemic, an efficient educational program is required to prepare health care teams for airborne isolation code blue. Methods This simulation was conducted in a room on the target unit using a CPR manikin to represent the patient. A “talk-through walk-through” scripted simulation directed learners (internal medicine residents, unit nurses, and other code blue responders) through a resuscitation using an airborne isolation code blue protocol. Key scripted events prompted role identification, communication, and item transfer. Learners self-assessed their airborne isolation code blue knowledge and skills and their confidence in providing quality care while maintaining safety using a pre-/posttraining 5-point Likert-scale survey. Results We trained 100 participants over a 5-month period, with 65 participants surveyed (43 respondents; 16 residents, 22 nurses). Following training, participants had a statistically significant ( p < .001) increase in percentage selecting agree/strongly agree for all statements related to knowledge and skills specific to airborne isolation code blue protocol, as well as confidence in providing care while keeping themselves and their colleagues safe. Discussion Our simulation program allowed a small number of educators to feasibly train a large number of learners, let learners practice required skills, and improved learners’ self-assessed knowledge, skills, and confidence regarding quality and safety of care.

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

Cited by 7 publications

References 6 publications

Health Care Simulation as a Training Tool for Epidemic Management

Health Care Simulation as a Training Tool for Epidemic Management

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

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

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