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Medical knowledge and clinical productivity: independently correlated metrics during radiology residency

OBJECTIVE: To determine the association between medical knowledge relevant to radiology practice (as measured by the Dutch radiology progress test [DRPT]) and clinical productivity during radiology residency. METHODS: This study analyzed the results of 6 DRPTs and time period–matched clinical produc...

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Autores principales: Alkhalaf, Zahraa S. A., Yakar, Derya, de Groot, Jan Cees, Dierckx, Rudi A. J. O., Kwee, Thomas C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8213654/
https://www.ncbi.nlm.nih.gov/pubmed/33449176
http://dx.doi.org/10.1007/s00330-020-07646-3
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author Alkhalaf, Zahraa S. A.
Yakar, Derya
de Groot, Jan Cees
Dierckx, Rudi A. J. O.
Kwee, Thomas C.
author_facet Alkhalaf, Zahraa S. A.
Yakar, Derya
de Groot, Jan Cees
Dierckx, Rudi A. J. O.
Kwee, Thomas C.
author_sort Alkhalaf, Zahraa S. A.
collection PubMed
description OBJECTIVE: To determine the association between medical knowledge relevant to radiology practice (as measured by the Dutch radiology progress test [DRPT]) and clinical productivity during radiology residency. METHODS: This study analyzed the results of 6 DRPTs and time period–matched clinical production points of radiology residents affiliated to a tertiary care academic medical center between 2013 and 2016. The Spearman correlation analysis was performed to determine the association between DRPT percentile scores and average daily clinical production points. Linear regression analyses were performed to determine the association of DRPT percentile scores with average daily clinical production points, adjusted for age and gender of the radiology resident, and postgraduate year. RESULTS: Eighty-four DRPTs with time period–matched clinical production points were included. These 84 DRPTs were made by 29 radiology residents (18 males and 11 females) with a median age of 31 years (range: 26–38 years). The Spearman correlation coefficient between DRPT percentile scores and average daily clinical production points was 0.550 (95% confidence interval: 0.381–0.694) (p < 0.001), indicating a significant moderate positive association. On multivariate analysis, average daily clinical production points (β coefficient of 0.035, p = 0.003), female gender of the radiology resident (β coefficient of 12.690, p = 0.001), and postgraduate year (β coefficient of 10.179, p < 0.001) were significantly associated with DRPT percentile scores. These three independent variables achieved an adjusted R(2) of 0.527. CONCLUSION: Clinical productivity is independently associated with medical knowledge relevant to radiology practice during radiology residency. These findings indicate that clinical productivity of a resident could be a potentially relevant metric in a radiology training program. KEY POINTS: • There is a significant moderate correlation between medical knowledge relevant to radiology practice and clinical productivity during radiology residency. • Medical knowledge relevant to radiology practice remains independently associated with clinical productivity during radiology residency after adjustment for postgraduate year and gender. • Clinical productivity of a resident may be regarded as a potentially relevant metric in a radiology training program.
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spelling pubmed-82136542021-07-01 Medical knowledge and clinical productivity: independently correlated metrics during radiology residency Alkhalaf, Zahraa S. A. Yakar, Derya de Groot, Jan Cees Dierckx, Rudi A. J. O. Kwee, Thomas C. Eur Radiol Experimental OBJECTIVE: To determine the association between medical knowledge relevant to radiology practice (as measured by the Dutch radiology progress test [DRPT]) and clinical productivity during radiology residency. METHODS: This study analyzed the results of 6 DRPTs and time period–matched clinical production points of radiology residents affiliated to a tertiary care academic medical center between 2013 and 2016. The Spearman correlation analysis was performed to determine the association between DRPT percentile scores and average daily clinical production points. Linear regression analyses were performed to determine the association of DRPT percentile scores with average daily clinical production points, adjusted for age and gender of the radiology resident, and postgraduate year. RESULTS: Eighty-four DRPTs with time period–matched clinical production points were included. These 84 DRPTs were made by 29 radiology residents (18 males and 11 females) with a median age of 31 years (range: 26–38 years). The Spearman correlation coefficient between DRPT percentile scores and average daily clinical production points was 0.550 (95% confidence interval: 0.381–0.694) (p < 0.001), indicating a significant moderate positive association. On multivariate analysis, average daily clinical production points (β coefficient of 0.035, p = 0.003), female gender of the radiology resident (β coefficient of 12.690, p = 0.001), and postgraduate year (β coefficient of 10.179, p < 0.001) were significantly associated with DRPT percentile scores. These three independent variables achieved an adjusted R(2) of 0.527. CONCLUSION: Clinical productivity is independently associated with medical knowledge relevant to radiology practice during radiology residency. These findings indicate that clinical productivity of a resident could be a potentially relevant metric in a radiology training program. KEY POINTS: • There is a significant moderate correlation between medical knowledge relevant to radiology practice and clinical productivity during radiology residency. • Medical knowledge relevant to radiology practice remains independently associated with clinical productivity during radiology residency after adjustment for postgraduate year and gender. • Clinical productivity of a resident may be regarded as a potentially relevant metric in a radiology training program. Springer Berlin Heidelberg 2021-01-15 2021 /pmc/articles/PMC8213654/ /pubmed/33449176 http://dx.doi.org/10.1007/s00330-020-07646-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Experimental
Alkhalaf, Zahraa S. A.
Yakar, Derya
de Groot, Jan Cees
Dierckx, Rudi A. J. O.
Kwee, Thomas C.
Medical knowledge and clinical productivity: independently correlated metrics during radiology residency
title Medical knowledge and clinical productivity: independently correlated metrics during radiology residency
title_full Medical knowledge and clinical productivity: independently correlated metrics during radiology residency
title_fullStr Medical knowledge and clinical productivity: independently correlated metrics during radiology residency
title_full_unstemmed Medical knowledge and clinical productivity: independently correlated metrics during radiology residency
title_short Medical knowledge and clinical productivity: independently correlated metrics during radiology residency
title_sort medical knowledge and clinical productivity: independently correlated metrics during radiology residency
topic Experimental
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8213654/
https://www.ncbi.nlm.nih.gov/pubmed/33449176
http://dx.doi.org/10.1007/s00330-020-07646-3
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