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Quantifying Impact of Disruption to Radiology Education During the COVID-19 Pandemic and Implications for Future Training
PURPOSE: The aim of this study was to assess the impact on radiology resident education due to the COVID-19 pandemic in order to inform future educational planning. METHODS: During a 10-week study period from March 16 to May 22, 2020, changes to educational block-weeks (BW) of first through fourth y...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7448952/ https://www.ncbi.nlm.nih.gov/pubmed/32950305 http://dx.doi.org/10.1067/j.cpradiol.2020.07.008 |
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author | Shi, Junzi Miskin, Nityanand Dabiri, Borna E. DeSimone, Ariadne K. Schaefer, Peter M. Bay, Camden Guenette, Jeffrey P. Gaviola, Glenn C. |
author_facet | Shi, Junzi Miskin, Nityanand Dabiri, Borna E. DeSimone, Ariadne K. Schaefer, Peter M. Bay, Camden Guenette, Jeffrey P. Gaviola, Glenn C. |
author_sort | Shi, Junzi |
collection | PubMed |
description | PURPOSE: The aim of this study was to assess the impact on radiology resident education due to the COVID-19 pandemic in order to inform future educational planning. METHODS: During a 10-week study period from March 16 to May 22, 2020, changes to educational block-weeks (BW) of first through fourth year residents (R1-4) were documented as disrupted in the setting of the COVID-19 pandemic. The first 5 weeks and the second 5 weeks were evaluated separately for temporal differences. Overall and mean disrupted BW per resident were documented. Wilcoxon rank-sum tests were used to assess pairwise differences between classes with Bonferroni-adjusted P-values, as well as differences in the early versus later phase of the pandemic. RESULTS: Of 373 BW, 56.6% were assigned to virtual curriculum, 39.4% radiology clinical duties, 2.9% illness, and 1.1% reassignment. Scheduling intervention affected 6.2 ± 2.3 (range 1-10) mean BW per resident over the 10-week study period. The R3 class experienced the largest disruption, greater than the R2 classes, and statistically significantly more than the R1 and R4 classes (both P < 0.05). The second half of the pandemic caused statistically significantly more schedule disruptions than the first half (P = 0.009). DISCUSSION: The impact of COVID-19 pandemic varied by residency class year, with the largest disruption of the R3 class and the least disruption of the R4 class. To optimize future educational opportunities, shifting to a competency-based education paradigm may help to achieve proficiency without extending the length of the training program. |
format | Online Article Text |
id | pubmed-7448952 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74489522020-08-27 Quantifying Impact of Disruption to Radiology Education During the COVID-19 Pandemic and Implications for Future Training Shi, Junzi Miskin, Nityanand Dabiri, Borna E. DeSimone, Ariadne K. Schaefer, Peter M. Bay, Camden Guenette, Jeffrey P. Gaviola, Glenn C. Curr Probl Diagn Radiol Article PURPOSE: The aim of this study was to assess the impact on radiology resident education due to the COVID-19 pandemic in order to inform future educational planning. METHODS: During a 10-week study period from March 16 to May 22, 2020, changes to educational block-weeks (BW) of first through fourth year residents (R1-4) were documented as disrupted in the setting of the COVID-19 pandemic. The first 5 weeks and the second 5 weeks were evaluated separately for temporal differences. Overall and mean disrupted BW per resident were documented. Wilcoxon rank-sum tests were used to assess pairwise differences between classes with Bonferroni-adjusted P-values, as well as differences in the early versus later phase of the pandemic. RESULTS: Of 373 BW, 56.6% were assigned to virtual curriculum, 39.4% radiology clinical duties, 2.9% illness, and 1.1% reassignment. Scheduling intervention affected 6.2 ± 2.3 (range 1-10) mean BW per resident over the 10-week study period. The R3 class experienced the largest disruption, greater than the R2 classes, and statistically significantly more than the R1 and R4 classes (both P < 0.05). The second half of the pandemic caused statistically significantly more schedule disruptions than the first half (P = 0.009). DISCUSSION: The impact of COVID-19 pandemic varied by residency class year, with the largest disruption of the R3 class and the least disruption of the R4 class. To optimize future educational opportunities, shifting to a competency-based education paradigm may help to achieve proficiency without extending the length of the training program. Elsevier Inc. 2021 2020-08-26 /pmc/articles/PMC7448952/ /pubmed/32950305 http://dx.doi.org/10.1067/j.cpradiol.2020.07.008 Text en © 2020 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Shi, Junzi Miskin, Nityanand Dabiri, Borna E. DeSimone, Ariadne K. Schaefer, Peter M. Bay, Camden Guenette, Jeffrey P. Gaviola, Glenn C. Quantifying Impact of Disruption to Radiology Education During the COVID-19 Pandemic and Implications for Future Training |
title | Quantifying Impact of Disruption to Radiology Education During the COVID-19 Pandemic and Implications for Future Training |
title_full | Quantifying Impact of Disruption to Radiology Education During the COVID-19 Pandemic and Implications for Future Training |
title_fullStr | Quantifying Impact of Disruption to Radiology Education During the COVID-19 Pandemic and Implications for Future Training |
title_full_unstemmed | Quantifying Impact of Disruption to Radiology Education During the COVID-19 Pandemic and Implications for Future Training |
title_short | Quantifying Impact of Disruption to Radiology Education During the COVID-19 Pandemic and Implications for Future Training |
title_sort | quantifying impact of disruption to radiology education during the covid-19 pandemic and implications for future training |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7448952/ https://www.ncbi.nlm.nih.gov/pubmed/32950305 http://dx.doi.org/10.1067/j.cpradiol.2020.07.008 |
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