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Mechanical Ventilation Training Curriculum for Pulmonary Critical Care Fellows during the COVID-19 Pandemic

BACKGROUND: Mechanical ventilation (MV) management is an essential skill for pulmonary and critical care medicine (PCCM) fellows to master during training. The unprecedented emergence of the coronavirus disease (COVID-19) pandemic highlighted the need for advanced operator competency in MV to improv...

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Autores principales: Shiari, Aryan, Venkat, Divya, Mohamed, Abdelaziz, Lee, Sarah J., Sankari, Abdulghani
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Thoracic Society 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547087/
https://www.ncbi.nlm.nih.gov/pubmed/37795120
http://dx.doi.org/10.34197/ats-scholar.2022-0048IN
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author Shiari, Aryan
Venkat, Divya
Mohamed, Abdelaziz
Lee, Sarah J.
Sankari, Abdulghani
author_facet Shiari, Aryan
Venkat, Divya
Mohamed, Abdelaziz
Lee, Sarah J.
Sankari, Abdulghani
author_sort Shiari, Aryan
collection PubMed
description BACKGROUND: Mechanical ventilation (MV) management is an essential skill for pulmonary and critical care medicine (PCCM) fellows to master during training. The unprecedented emergence of the coronavirus disease (COVID-19) pandemic highlighted the need for advanced operator competency in MV to improve patients’ outcomes. OBJECTIVE: We aimed to create a standardized case-based curriculum using a blended approach of high-fidelity simulation, rapid-cycle deliberate practice, video didactics, and hands-on small group sessions for rapid accumulation of knowledge and hands-on skills for PCCM fellows before caring for critically ill patients during the COVID-19 pandemic. METHODS: The MV curriculum consisted of the following steps: 1) baseline written knowledge test with 15 multiple-choice questions covering MV, the latest evidence-based practices, and pathophysiology of COVID-19; 2) baseline confidence survey using a 5-point Likert scale; 3) a one-on-one session using a high-fidelity simulation manikin, a lung simulator, and a mechanical ventilator to test baseline competencies; 4) a structured debriefing tailored per fellow’s 50-point competency assessment checklist from the simulation using rapid-cycle deliberate practice; 5) video didactics; 6) a hands-on session in small groups for basic knobology, waveforms, and modes of MV; 7) a one-on-one simulation reassessment session; 8) a written knowledge posttest; and 9) a post-training confidence survey using a 5-point Likert scale. RESULTS: Eight PCCM fellows completed the training. The mean multiple-choice question score increased from 7.4 ± 2.9 to 10.4 ± 2.4 (P < 0.05), and the simulation scores increased from 17.1 ± 4.4 to 30.8 ± 3.7 (P < 0.05). Comparing the simulation reassessment to the baseline, fellows showed significant improvement (P < 0.05) in assessing indications for MV; implementing rapid sequence intubation for patients with COVID-19; initiating MV and ventilator bundle per best practices; recognizing and managing mucous plugging, ventilator dyssynchrony, and evidence-based treatments for acute respiratory distress syndrome; and developing a care plan for proning. The post-training survey revealed improved learner confidence in all competencies. CONCLUSION: This pilot MV curriculum using a blended approach was feasible and allowed PCCM fellows to significantly improve their knowledge and hands-on skills, allowing for the appropriate use of MV during the pandemic. Self-reported improvement scores further reinforced this. The emergent need for novice learners may again be necessary for future pandemic settings where standard training models requiring extensive training time are limited.
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spelling pubmed-105470872023-10-04 Mechanical Ventilation Training Curriculum for Pulmonary Critical Care Fellows during the COVID-19 Pandemic Shiari, Aryan Venkat, Divya Mohamed, Abdelaziz Lee, Sarah J. Sankari, Abdulghani ATS Sch Innovations BACKGROUND: Mechanical ventilation (MV) management is an essential skill for pulmonary and critical care medicine (PCCM) fellows to master during training. The unprecedented emergence of the coronavirus disease (COVID-19) pandemic highlighted the need for advanced operator competency in MV to improve patients’ outcomes. OBJECTIVE: We aimed to create a standardized case-based curriculum using a blended approach of high-fidelity simulation, rapid-cycle deliberate practice, video didactics, and hands-on small group sessions for rapid accumulation of knowledge and hands-on skills for PCCM fellows before caring for critically ill patients during the COVID-19 pandemic. METHODS: The MV curriculum consisted of the following steps: 1) baseline written knowledge test with 15 multiple-choice questions covering MV, the latest evidence-based practices, and pathophysiology of COVID-19; 2) baseline confidence survey using a 5-point Likert scale; 3) a one-on-one session using a high-fidelity simulation manikin, a lung simulator, and a mechanical ventilator to test baseline competencies; 4) a structured debriefing tailored per fellow’s 50-point competency assessment checklist from the simulation using rapid-cycle deliberate practice; 5) video didactics; 6) a hands-on session in small groups for basic knobology, waveforms, and modes of MV; 7) a one-on-one simulation reassessment session; 8) a written knowledge posttest; and 9) a post-training confidence survey using a 5-point Likert scale. RESULTS: Eight PCCM fellows completed the training. The mean multiple-choice question score increased from 7.4 ± 2.9 to 10.4 ± 2.4 (P < 0.05), and the simulation scores increased from 17.1 ± 4.4 to 30.8 ± 3.7 (P < 0.05). Comparing the simulation reassessment to the baseline, fellows showed significant improvement (P < 0.05) in assessing indications for MV; implementing rapid sequence intubation for patients with COVID-19; initiating MV and ventilator bundle per best practices; recognizing and managing mucous plugging, ventilator dyssynchrony, and evidence-based treatments for acute respiratory distress syndrome; and developing a care plan for proning. The post-training survey revealed improved learner confidence in all competencies. CONCLUSION: This pilot MV curriculum using a blended approach was feasible and allowed PCCM fellows to significantly improve their knowledge and hands-on skills, allowing for the appropriate use of MV during the pandemic. Self-reported improvement scores further reinforced this. The emergent need for novice learners may again be necessary for future pandemic settings where standard training models requiring extensive training time are limited. American Thoracic Society 2023-07-27 /pmc/articles/PMC10547087/ /pubmed/37795120 http://dx.doi.org/10.34197/ats-scholar.2022-0048IN Text en Copyright © 2023 by the American Thoracic Society https://creativecommons.org/licenses/by-nc-nd/4.0/This article is open access and distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives License 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . For commercial usage and reprints, please e-mail Diane Gern.
spellingShingle Innovations
Shiari, Aryan
Venkat, Divya
Mohamed, Abdelaziz
Lee, Sarah J.
Sankari, Abdulghani
Mechanical Ventilation Training Curriculum for Pulmonary Critical Care Fellows during the COVID-19 Pandemic
title Mechanical Ventilation Training Curriculum for Pulmonary Critical Care Fellows during the COVID-19 Pandemic
title_full Mechanical Ventilation Training Curriculum for Pulmonary Critical Care Fellows during the COVID-19 Pandemic
title_fullStr Mechanical Ventilation Training Curriculum for Pulmonary Critical Care Fellows during the COVID-19 Pandemic
title_full_unstemmed Mechanical Ventilation Training Curriculum for Pulmonary Critical Care Fellows during the COVID-19 Pandemic
title_short Mechanical Ventilation Training Curriculum for Pulmonary Critical Care Fellows during the COVID-19 Pandemic
title_sort mechanical ventilation training curriculum for pulmonary critical care fellows during the covid-19 pandemic
topic Innovations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547087/
https://www.ncbi.nlm.nih.gov/pubmed/37795120
http://dx.doi.org/10.34197/ats-scholar.2022-0048IN
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