Measuring and Improving Diagnostic Safety in Primary Care: Addressing the “Twin” Pandemics of Diagnostic Error and Clinician Burnout
Diagnostic errors are a source of unacceptable harm in health care. However, improvement efforts have been hampered by the lack of valid measures reflecting the quality of the diagnostic process. At the same time, it has become apparent that the healthcare work system, particularly in primary care,...
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Published in | Journal of general internal medicine : JGIM Vol. 36; no. 5; pp. 1404 - 1406 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Cham
Springer International Publishing
01.05.2021
Springer Nature B.V |
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Abstract | Diagnostic errors are a source of unacceptable harm in health care. However, improvement efforts have been hampered by the lack of valid measures reflecting the quality of the diagnostic process. At the same time, it has become apparent that the healthcare work system, particularly in primary care, is chaotic and stressful, leading to clinician burnout and patient harm. We propose a new construct that health systems and researchers can use to measure the quality and safety of the diagnostic process that is sensitive to the context of the health care work system. This model focuses on three measurable practices: considering “don’t miss” diagnoses, looking for red flags, and ensuring that clinicians avoid common diagnostic pitfalls. We believe that the performance of clinicians with respect to these factors is sensitive to the health care work system, allowing for context-dependent measurement and improvement of the diagnostic process. Such process measures will enable more rapid improvements rather than exclusively measuring outcomes related to “correct” or “incorrect” diagnoses. |
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AbstractList | Diagnostic errors are a source of unacceptable harm in health care. However, improvement efforts have been hampered by the lack of valid measures reflecting the quality of the diagnostic process. At the same time, it has become apparent that the healthcare work system, particularly in primary care, is chaotic and stressful, leading to clinician burnout and patient harm. We propose a new construct that health systems and researchers can use to measure the quality and safety of the diagnostic process that is sensitive to the context of the health care work system. This model focuses on three measurable practices: considering "don't miss" diagnoses, looking for red flags, and ensuring that clinicians avoid common diagnostic pitfalls. We believe that the performance of clinicians with respect to these factors is sensitive to the health care work system, allowing for context-dependent measurement and improvement of the diagnostic process. Such process measures will enable more rapid improvements rather than exclusively measuring outcomes related to "correct" or "incorrect" diagnoses. Diagnostic errors are a source of unacceptable harm in health care. However, improvement efforts have been hampered by the lack of valid measures reflecting the quality of the diagnostic process. At the same time, it has become apparent that the healthcare work system, particularly in primary care, is chaotic and stressful, leading to clinician burnout and patient harm. We propose a new construct that health systems and researchers can use to measure the quality and safety of the diagnostic process that is sensitive to the context of the health care work system. This model focuses on three measurable practices: considering "don't miss" diagnoses, looking for red flags, and ensuring that clinicians avoid common diagnostic pitfalls. We believe that the performance of clinicians with respect to these factors is sensitive to the health care work system, allowing for context-dependent measurement and improvement of the diagnostic process. Such process measures will enable more rapid improvements rather than exclusively measuring outcomes related to "correct" or "incorrect" diagnoses.Diagnostic errors are a source of unacceptable harm in health care. However, improvement efforts have been hampered by the lack of valid measures reflecting the quality of the diagnostic process. At the same time, it has become apparent that the healthcare work system, particularly in primary care, is chaotic and stressful, leading to clinician burnout and patient harm. We propose a new construct that health systems and researchers can use to measure the quality and safety of the diagnostic process that is sensitive to the context of the health care work system. This model focuses on three measurable practices: considering "don't miss" diagnoses, looking for red flags, and ensuring that clinicians avoid common diagnostic pitfalls. We believe that the performance of clinicians with respect to these factors is sensitive to the health care work system, allowing for context-dependent measurement and improvement of the diagnostic process. Such process measures will enable more rapid improvements rather than exclusively measuring outcomes related to "correct" or "incorrect" diagnoses. |
Author | Linzer, Mark Schiff, Gordon D. Olson, Andrew P. J. |
Author_xml | – sequence: 1 givenname: Andrew P. J. orcidid: 0000-0002-7226-5783 surname: Olson fullname: Olson, Andrew P. J. email: apjolson@umn.edu organization: Division of General Internal Medicine, University of Minnesota Medical School, University of Minnesota – sequence: 2 givenname: Mark surname: Linzer fullname: Linzer, Mark organization: Hennepin Healthcare – sequence: 3 givenname: Gordon D. surname: Schiff fullname: Schiff, Gordon D. organization: Harvard Medical School |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33575908$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1007/s11606-018-4454-2 10.1136/bmjqs-2013-002426 10.1001/archinternmed.2009.333 10.1007/s40596-017-0849-3 10.1093/jamia/ocaa067 10.1515/dx-2020-0020 10.1136/bmjqs-2016-005401 10.5811/westjem.2015.9.27945 10.1136/bmjqs-2013-002627 10.1097/JHQ.0000000000000016 10.7326/0003-4819-151-1-200907070-00006 10.1007/s11606-018-4304-2 |
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References | Lu, Dresden, McCloskey, Branzetti, Gisondi (CR7) 2015; 16 CR4 Trockel, Bohman, Lesure (CR8) 2018; 42 Singh, Meyer, Thomas (CR2) 2014; 23 CR5 Wosik, Fudim, Cameron (CR3) 2020; 27 Singh, Schiff, Graber, Onakpoya, Thompson (CR1) 2017; 26 Linzer, Manwell, Williams (CR9) 2009; 151 Schiff, Ruan (CR6) 2018; 33 Olson, Durning, Fernandez Branson, Sick, Lane, Rencic (CR13) 2020; 7 Schiff (CR12) 2014; 23 Perez, Beyrouty, Bennett (CR10) 2017; 39 Schiff, Hasan, Kim (CR11) 2009; 169 GD Schiff (6611_CR12) 2014; 23 J Wosik (6611_CR3) 2020; 27 M Linzer (6611_CR9) 2009; 151 6611_CR4 GD Schiff (6611_CR11) 2009; 169 6611_CR5 GD Schiff (6611_CR6) 2018; 33 DW Lu (6611_CR7) 2015; 16 H Singh (6611_CR2) 2014; 23 H Singh (6611_CR1) 2017; 26 HR Perez (6611_CR10) 2017; 39 M Trockel (6611_CR8) 2018; 42 APJ Olson (6611_CR13) 2020; 7 |
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SubjectTerms | Burnout Diagnostic systems Health care Internal Medicine Medical diagnosis Medicine Medicine & Public Health Pandemics Perspective Primary care Safety |
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Title | Measuring and Improving Diagnostic Safety in Primary Care: Addressing the “Twin” Pandemics of Diagnostic Error and Clinician Burnout |
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