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Associations of physician burnout with organizational electronic health record support and after-hours charting

In 2017, 43.9% of US physicians reported symptoms of burnout. Poor electronic health record (EHR) usability and time-consuming data entry contribute to burnout. However, less is known about how modifiable dimensions of EHR use relate to burnout and how these associations vary by medical specialty. U...

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Autores principales: Eschenroeder, H. C, Manzione, Lauren C, Adler-Milstein, Julia, Bice, Connor, Cash, Robert, Duda, Cole, Joseph, Craig, Lee, John S, Maneker, Amy, Poterack, Karl A, Rahman, Sarah B, Jeppson, Jacob, Longhurst, Christopher
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8068427/
https://www.ncbi.nlm.nih.gov/pubmed/33880534
http://dx.doi.org/10.1093/jamia/ocab053
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author Eschenroeder, H. C
Manzione, Lauren C
Adler-Milstein, Julia
Bice, Connor
Cash, Robert
Duda, Cole
Joseph, Craig
Lee, John S
Maneker, Amy
Poterack, Karl A
Rahman, Sarah B
Jeppson, Jacob
Longhurst, Christopher
author_facet Eschenroeder, H. C
Manzione, Lauren C
Adler-Milstein, Julia
Bice, Connor
Cash, Robert
Duda, Cole
Joseph, Craig
Lee, John S
Maneker, Amy
Poterack, Karl A
Rahman, Sarah B
Jeppson, Jacob
Longhurst, Christopher
author_sort Eschenroeder, H. C
collection PubMed
description In 2017, 43.9% of US physicians reported symptoms of burnout. Poor electronic health record (EHR) usability and time-consuming data entry contribute to burnout. However, less is known about how modifiable dimensions of EHR use relate to burnout and how these associations vary by medical specialty. Using the KLAS Arch Collaborative’s large-scale nationwide physician (MD/DO) data, we used ordinal logistic regression to analyze associations between self-reported burnout and after-hours charting and organizational EHR support. We examined how these relationships differ by medical specialty, adjusting for confounders. Physicians reporting ≤ 5 hours weekly of after-hours charting were twice as likely to report lower burnout scores compared to those charting ≥6 hours (aOR: 2.43, 95% CI: 2.30, 2.57). Physicians who agree that their organization has done a great job with EHR implementation, training, and support (aOR: 2.14, 95% CI: 2.01, 2.28) were also twice as likely to report lower scores on the burnout survey question compared to those who disagree. Efforts to reduce after-hours charting and improve organizational EHR support could help address physician burnout.
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spelling pubmed-80684272021-04-28 Associations of physician burnout with organizational electronic health record support and after-hours charting Eschenroeder, H. C Manzione, Lauren C Adler-Milstein, Julia Bice, Connor Cash, Robert Duda, Cole Joseph, Craig Lee, John S Maneker, Amy Poterack, Karl A Rahman, Sarah B Jeppson, Jacob Longhurst, Christopher J Am Med Inform Assoc Brief Communication In 2017, 43.9% of US physicians reported symptoms of burnout. Poor electronic health record (EHR) usability and time-consuming data entry contribute to burnout. However, less is known about how modifiable dimensions of EHR use relate to burnout and how these associations vary by medical specialty. Using the KLAS Arch Collaborative’s large-scale nationwide physician (MD/DO) data, we used ordinal logistic regression to analyze associations between self-reported burnout and after-hours charting and organizational EHR support. We examined how these relationships differ by medical specialty, adjusting for confounders. Physicians reporting ≤ 5 hours weekly of after-hours charting were twice as likely to report lower burnout scores compared to those charting ≥6 hours (aOR: 2.43, 95% CI: 2.30, 2.57). Physicians who agree that their organization has done a great job with EHR implementation, training, and support (aOR: 2.14, 95% CI: 2.01, 2.28) were also twice as likely to report lower scores on the burnout survey question compared to those who disagree. Efforts to reduce after-hours charting and improve organizational EHR support could help address physician burnout. Oxford University Press 2021-04-23 /pmc/articles/PMC8068427/ /pubmed/33880534 http://dx.doi.org/10.1093/jamia/ocab053 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the American Medical Informatics Association. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Brief Communication
Eschenroeder, H. C
Manzione, Lauren C
Adler-Milstein, Julia
Bice, Connor
Cash, Robert
Duda, Cole
Joseph, Craig
Lee, John S
Maneker, Amy
Poterack, Karl A
Rahman, Sarah B
Jeppson, Jacob
Longhurst, Christopher
Associations of physician burnout with organizational electronic health record support and after-hours charting
title Associations of physician burnout with organizational electronic health record support and after-hours charting
title_full Associations of physician burnout with organizational electronic health record support and after-hours charting
title_fullStr Associations of physician burnout with organizational electronic health record support and after-hours charting
title_full_unstemmed Associations of physician burnout with organizational electronic health record support and after-hours charting
title_short Associations of physician burnout with organizational electronic health record support and after-hours charting
title_sort associations of physician burnout with organizational electronic health record support and after-hours charting
topic Brief Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8068427/
https://www.ncbi.nlm.nih.gov/pubmed/33880534
http://dx.doi.org/10.1093/jamia/ocab053
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