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Impact of Novel Multiinstitutional Curriculum on Critical Care Fellow Ventilator Knowledge

Background: Management of mechanical ventilation (MV) is a curricular milestone for trainees in pulmonary critical care medicine (PCCM) and critical care medicine (CCM) fellowships. Though recognition of ventilator waveform abnormalities that could result in patient complications is an important par...

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Autores principales: Seam, Nitin, Kriner, Eric, Woods, Christian J., Shah, Nirav G., Acho, Megan, McCurdy, Michael T., Mikita, Jeffrey, Ahari, Jalil, Sun, Junfeng, Bell, Taison, Lee, Burton W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Thoracic Society 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8043266/
https://www.ncbi.nlm.nih.gov/pubmed/33870325
http://dx.doi.org/10.34197/ats-scholar.2020-0034OC
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author Seam, Nitin
Kriner, Eric
Woods, Christian J.
Shah, Nirav G.
Acho, Megan
McCurdy, Michael T.
Mikita, Jeffrey
Ahari, Jalil
Sun, Junfeng
Bell, Taison
Lee, Burton W.
author_facet Seam, Nitin
Kriner, Eric
Woods, Christian J.
Shah, Nirav G.
Acho, Megan
McCurdy, Michael T.
Mikita, Jeffrey
Ahari, Jalil
Sun, Junfeng
Bell, Taison
Lee, Burton W.
author_sort Seam, Nitin
collection PubMed
description Background: Management of mechanical ventilation (MV) is a curricular milestone for trainees in pulmonary critical care medicine (PCCM) and critical care medicine (CCM) fellowships. Though recognition of ventilator waveform abnormalities that could result in patient complications is an important part of management, it is unclear how well fellows recognize these abnormalities. Objective: To study proficiency of ventilator waveform analysis among first-year fellows enrolled in a MV course compared with that of traditionally trained fellows. Methods: The study took place from July 2016 to January 2019, with 93 fellows from 10 fellowship programs completing the waveform examination. Seventy-three fellows participated in a course during their first year of fellowship, with part I occurring at the beginning of fellowship in July and part II occurring after 6 months of clinical work. These fellows were given a five-question ventilator waveform examination at multiple time points throughout the two-part course. Twenty fellows from three other fellowship programs who were in their first, second, or third year of fellowship and who did not participate in this course served as the control group. These fellows took the waveform examination a single time, at a median of 23 months into their training. Results: Before the course, scores were low but improved after 3 days of education at the beginning of the fellowship (18.0 ± 1.6 vs. 45.6 ± 3.0; P < 0.0001). Scores decreased after 6 months of clinical rotations but increased to their highest levels after part II of the course (33.7 ± 3.1 for part II pretest vs. 77.4 ± 2.4 for part II posttest; P < 0.0001). After completing part I at the beginning of fellowship, fellows participating in the course outperformed control fellows, who received a median of 23 months of traditional fellowship training at the time of testing (45.6 ± 3.0 vs. 25.3 ± 2.7; P < 0.0001). There was no difference in scores between PCCM and CCM fellows. In anonymous surveys, the fellows also rated the mechanical ventilator lectures highly. Conclusion: PCCM and CCM fellows do not recognize common waveform abnormalities at the beginning of fellowship but can be trained to do so. Traditional fellowship training may be insufficient to master ventilator waveform analysis, and a more intentional, structured course for MV may help fellowship programs meet the curricular milestones for MV.
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spelling pubmed-80432662021-04-16 Impact of Novel Multiinstitutional Curriculum on Critical Care Fellow Ventilator Knowledge Seam, Nitin Kriner, Eric Woods, Christian J. Shah, Nirav G. Acho, Megan McCurdy, Michael T. Mikita, Jeffrey Ahari, Jalil Sun, Junfeng Bell, Taison Lee, Burton W. ATS Sch Original Research Background: Management of mechanical ventilation (MV) is a curricular milestone for trainees in pulmonary critical care medicine (PCCM) and critical care medicine (CCM) fellowships. Though recognition of ventilator waveform abnormalities that could result in patient complications is an important part of management, it is unclear how well fellows recognize these abnormalities. Objective: To study proficiency of ventilator waveform analysis among first-year fellows enrolled in a MV course compared with that of traditionally trained fellows. Methods: The study took place from July 2016 to January 2019, with 93 fellows from 10 fellowship programs completing the waveform examination. Seventy-three fellows participated in a course during their first year of fellowship, with part I occurring at the beginning of fellowship in July and part II occurring after 6 months of clinical work. These fellows were given a five-question ventilator waveform examination at multiple time points throughout the two-part course. Twenty fellows from three other fellowship programs who were in their first, second, or third year of fellowship and who did not participate in this course served as the control group. These fellows took the waveform examination a single time, at a median of 23 months into their training. Results: Before the course, scores were low but improved after 3 days of education at the beginning of the fellowship (18.0 ± 1.6 vs. 45.6 ± 3.0; P < 0.0001). Scores decreased after 6 months of clinical rotations but increased to their highest levels after part II of the course (33.7 ± 3.1 for part II pretest vs. 77.4 ± 2.4 for part II posttest; P < 0.0001). After completing part I at the beginning of fellowship, fellows participating in the course outperformed control fellows, who received a median of 23 months of traditional fellowship training at the time of testing (45.6 ± 3.0 vs. 25.3 ± 2.7; P < 0.0001). There was no difference in scores between PCCM and CCM fellows. In anonymous surveys, the fellows also rated the mechanical ventilator lectures highly. Conclusion: PCCM and CCM fellows do not recognize common waveform abnormalities at the beginning of fellowship but can be trained to do so. Traditional fellowship training may be insufficient to master ventilator waveform analysis, and a more intentional, structured course for MV may help fellowship programs meet the curricular milestones for MV. American Thoracic Society 2020-12-22 /pmc/articles/PMC8043266/ /pubmed/33870325 http://dx.doi.org/10.34197/ats-scholar.2020-0034OC Text en Copyright © 2021 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 contact Diane Gern (dgern@thoracic.org).
spellingShingle Original Research
Seam, Nitin
Kriner, Eric
Woods, Christian J.
Shah, Nirav G.
Acho, Megan
McCurdy, Michael T.
Mikita, Jeffrey
Ahari, Jalil
Sun, Junfeng
Bell, Taison
Lee, Burton W.
Impact of Novel Multiinstitutional Curriculum on Critical Care Fellow Ventilator Knowledge
title Impact of Novel Multiinstitutional Curriculum on Critical Care Fellow Ventilator Knowledge
title_full Impact of Novel Multiinstitutional Curriculum on Critical Care Fellow Ventilator Knowledge
title_fullStr Impact of Novel Multiinstitutional Curriculum on Critical Care Fellow Ventilator Knowledge
title_full_unstemmed Impact of Novel Multiinstitutional Curriculum on Critical Care Fellow Ventilator Knowledge
title_short Impact of Novel Multiinstitutional Curriculum on Critical Care Fellow Ventilator Knowledge
title_sort impact of novel multiinstitutional curriculum on critical care fellow ventilator knowledge
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8043266/
https://www.ncbi.nlm.nih.gov/pubmed/33870325
http://dx.doi.org/10.34197/ats-scholar.2020-0034OC
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