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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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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. |
format | Online Article Text |
id | pubmed-8068427 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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