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Association of physician burnout with perceived EHR work stress and potentially actionable factors
OBJECTIVE: Physicians of all specialties experienced unprecedented stressors during the COVID-19 pandemic, exacerbating preexisting burnout. We examine burnout’s association with perceived and actionable electronic health record (EHR) workload factors and personal, professional, and organizational c...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10531111/ https://www.ncbi.nlm.nih.gov/pubmed/37475168 http://dx.doi.org/10.1093/jamia/ocad136 |
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author | Tai-Seale, Ming Baxter, Sally Millen, Marlene Cheung, Michael Zisook, Sidney Çelebi, Julie Polston, Gregory Sun, Bryan Gross, Erin Helsten, Teresa Rosen, Rebecca Clay, Brian Sinsky, Christine Ziedonis, Douglas M Longhurst, Christopher A Savides, Thomas J |
author_facet | Tai-Seale, Ming Baxter, Sally Millen, Marlene Cheung, Michael Zisook, Sidney Çelebi, Julie Polston, Gregory Sun, Bryan Gross, Erin Helsten, Teresa Rosen, Rebecca Clay, Brian Sinsky, Christine Ziedonis, Douglas M Longhurst, Christopher A Savides, Thomas J |
author_sort | Tai-Seale, Ming |
collection | PubMed |
description | OBJECTIVE: Physicians of all specialties experienced unprecedented stressors during the COVID-19 pandemic, exacerbating preexisting burnout. We examine burnout’s association with perceived and actionable electronic health record (EHR) workload factors and personal, professional, and organizational characteristics with the goal of identifying levers that can be targeted to address burnout. MATERIALS AND METHODS: Survey of physicians of all specialties in an academic health center, using a standard measure of burnout, self-reported EHR work stress, and EHR-based work assessed by the number of messages regarding prescription reauthorization and use of a staff pool to triage messages. Descriptive and multivariable regression analyses examined the relationship among burnout, perceived EHR work stress, and actionable EHR work factors. RESULTS: Of 1038 eligible physicians, 627 responded (60% response rate), 49.8% reported burnout symptoms. Logistic regression analysis suggests that higher odds of burnout are associated with physicians feeling higher level of EHR stress (odds ratio [OR], 1.15; 95% confidence interval [CI], 1.07–1.25), having more prescription reauthorization messages (OR, 1.23; 95% CI, 1.04–1.47), not feeling valued (OR, 3.38; 95% CI, 1.69–7.22) or aligned in values with clinic leaders (OR, 2.81; 95% CI, 1.87–4.27), in medical practice for ≤15 years (OR, 2.57; 95% CI, 1.63–4.12), and sleeping for <6 h/night (OR, 1.73; 95% CI, 1.12–2.67). DISCUSSION: Perceived EHR stress and prescription reauthorization messages are significantly associated with burnout, as are non-EHR factors such as not feeling valued or aligned in values with clinic leaders. Younger physicians need more support. CONCLUSION: A multipronged approach targeting actionable levers and supporting young physicians is needed to implement sustainable improvements in physician well-being. |
format | Online Article Text |
id | pubmed-10531111 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-105311112023-09-28 Association of physician burnout with perceived EHR work stress and potentially actionable factors Tai-Seale, Ming Baxter, Sally Millen, Marlene Cheung, Michael Zisook, Sidney Çelebi, Julie Polston, Gregory Sun, Bryan Gross, Erin Helsten, Teresa Rosen, Rebecca Clay, Brian Sinsky, Christine Ziedonis, Douglas M Longhurst, Christopher A Savides, Thomas J J Am Med Inform Assoc Research and Applications OBJECTIVE: Physicians of all specialties experienced unprecedented stressors during the COVID-19 pandemic, exacerbating preexisting burnout. We examine burnout’s association with perceived and actionable electronic health record (EHR) workload factors and personal, professional, and organizational characteristics with the goal of identifying levers that can be targeted to address burnout. MATERIALS AND METHODS: Survey of physicians of all specialties in an academic health center, using a standard measure of burnout, self-reported EHR work stress, and EHR-based work assessed by the number of messages regarding prescription reauthorization and use of a staff pool to triage messages. Descriptive and multivariable regression analyses examined the relationship among burnout, perceived EHR work stress, and actionable EHR work factors. RESULTS: Of 1038 eligible physicians, 627 responded (60% response rate), 49.8% reported burnout symptoms. Logistic regression analysis suggests that higher odds of burnout are associated with physicians feeling higher level of EHR stress (odds ratio [OR], 1.15; 95% confidence interval [CI], 1.07–1.25), having more prescription reauthorization messages (OR, 1.23; 95% CI, 1.04–1.47), not feeling valued (OR, 3.38; 95% CI, 1.69–7.22) or aligned in values with clinic leaders (OR, 2.81; 95% CI, 1.87–4.27), in medical practice for ≤15 years (OR, 2.57; 95% CI, 1.63–4.12), and sleeping for <6 h/night (OR, 1.73; 95% CI, 1.12–2.67). DISCUSSION: Perceived EHR stress and prescription reauthorization messages are significantly associated with burnout, as are non-EHR factors such as not feeling valued or aligned in values with clinic leaders. Younger physicians need more support. CONCLUSION: A multipronged approach targeting actionable levers and supporting young physicians is needed to implement sustainable improvements in physician well-being. Oxford University Press 2023-07-20 /pmc/articles/PMC10531111/ /pubmed/37475168 http://dx.doi.org/10.1093/jamia/ocad136 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the American Medical Informatics Association. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research and Applications Tai-Seale, Ming Baxter, Sally Millen, Marlene Cheung, Michael Zisook, Sidney Çelebi, Julie Polston, Gregory Sun, Bryan Gross, Erin Helsten, Teresa Rosen, Rebecca Clay, Brian Sinsky, Christine Ziedonis, Douglas M Longhurst, Christopher A Savides, Thomas J Association of physician burnout with perceived EHR work stress and potentially actionable factors |
title | Association of physician burnout with perceived EHR work stress and potentially actionable factors |
title_full | Association of physician burnout with perceived EHR work stress and potentially actionable factors |
title_fullStr | Association of physician burnout with perceived EHR work stress and potentially actionable factors |
title_full_unstemmed | Association of physician burnout with perceived EHR work stress and potentially actionable factors |
title_short | Association of physician burnout with perceived EHR work stress and potentially actionable factors |
title_sort | association of physician burnout with perceived ehr work stress and potentially actionable factors |
topic | Research and Applications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10531111/ https://www.ncbi.nlm.nih.gov/pubmed/37475168 http://dx.doi.org/10.1093/jamia/ocad136 |
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