Simulation Case: Cardiac Arrest After Carbon Dioxide (CO2) Embolism

Halverson, Bryan; Malkin, Mathew; Lenart, John; Vadi, Marissa G.

doi:10.15766/mep_2374-8265.10327

Cited by 1 publication

(2 citation statements)

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“…Our learner-reported improvements are similar to those seen in prior cardiac arrest simulation literature, 26,27 and they add to a growing body of evidence supporting the utility of simulation programs to prepare for COVID-19 cardiac arrest and other rare resuscitation events. [13][14][15][16][17][18][19][20]28 Unlike previous work, however, our talk-through walk-through structure and scripted simulation is far simpler to implement in time-, personnel-, and resourceconstrained settings such as those with current outbreaks due to low vaccination rates. While we cannot directly compare our outcomes to a traditional high-fidelity simulation structure, some of our highest-risk communities are less likely to have a dedicated simulation lab.…”

Section: Discussionmentioning

confidence: 99%

“…Simulation is a well-established and effective means of education for code blue training, 13 particularly in preparing for situational variations with which health care teams may have less experience. [14][15][16][17] At the start of the COVID-19 pandemic, several groups successfully used high-fidelity simulation to train staff for airborne isolation code blue. [18][19][20] Unfortunately, this method of simulation requires significant resources, including personnel, time, and expensive equipment, that are limited in many institutions.…”

Section: Introductionmentioning

confidence: 99%

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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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