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Prevalence and Causes of Diagnostic Errors in Hospitalized Patients Under Investigation for COVID-19
BACKGROUND: The COVID-19 pandemic required clinicians to care for a disease with evolving characteristics while also adhering to care changes (e.g., physical distancing practices) that might lead to diagnostic errors (DEs). OBJECTIVE: To determine the frequency of DEs and their causes among patients...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035474/ https://www.ncbi.nlm.nih.gov/pubmed/36952085 http://dx.doi.org/10.1007/s11606-023-08176-6 |
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author | Auerbach, Andrew D. Astik, Gopi J. O’Leary, Kevin J. Barish, Peter N. Kantor, Molly A. Raffel, Katie R. Ranji, Sumant R. Mueller, Stephanie K. Burney, Sharran N. Galinsky, Janice Gershanik, Esteban F. Goyal, Abhishek Chitneni, Pooja R. Rastegar, Sarah Esmaili, Armond M. Fenton, Cynthia Virapongse, Anunta Ngov, Li-Kheng Burden, Marisha Keniston, Angela Patel, Hemali Gupta, Ashwin B. Rohde, Jeff Marr, Ruby Greysen, S. Ryan Fang, Michele Shah, Pranav Mao, Frances Kaiksow, Farah Sterken, David Choi, Justin J. Contractor, Jigar Karwa, Abhishek Chia, David Lee, Tiffany Hubbard, Colin C. Maselli, Judith Dalal, Anuj K. Schnipper, Jeffrey L. |
author_facet | Auerbach, Andrew D. Astik, Gopi J. O’Leary, Kevin J. Barish, Peter N. Kantor, Molly A. Raffel, Katie R. Ranji, Sumant R. Mueller, Stephanie K. Burney, Sharran N. Galinsky, Janice Gershanik, Esteban F. Goyal, Abhishek Chitneni, Pooja R. Rastegar, Sarah Esmaili, Armond M. Fenton, Cynthia Virapongse, Anunta Ngov, Li-Kheng Burden, Marisha Keniston, Angela Patel, Hemali Gupta, Ashwin B. Rohde, Jeff Marr, Ruby Greysen, S. Ryan Fang, Michele Shah, Pranav Mao, Frances Kaiksow, Farah Sterken, David Choi, Justin J. Contractor, Jigar Karwa, Abhishek Chia, David Lee, Tiffany Hubbard, Colin C. Maselli, Judith Dalal, Anuj K. Schnipper, Jeffrey L. |
author_sort | Auerbach, Andrew D. |
collection | PubMed |
description | BACKGROUND: The COVID-19 pandemic required clinicians to care for a disease with evolving characteristics while also adhering to care changes (e.g., physical distancing practices) that might lead to diagnostic errors (DEs). OBJECTIVE: To determine the frequency of DEs and their causes among patients hospitalized under investigation (PUI) for COVID-19. DESIGN: Retrospective cohort. SETTING: Eight medical centers affiliated with the Hospital Medicine ReEngineering Network (HOMERuN). TARGET POPULATION: Adults hospitalized under investigation (PUI) for COVID-19 infection between February and July 2020. MEASUREMENTS: We randomly selected up to 8 cases per site per month for review, with each case reviewed by two clinicians to determine whether a DE (defined as a missed or delayed diagnosis) occurred, and whether any diagnostic process faults took place. We used bivariable statistics to compare patients with and without DE and multivariable models to determine which process faults or patient factors were associated with DEs. RESULTS: Two hundred and fifty-seven patient charts underwent review, of which 36 (14%) had a diagnostic error. Patients with and without DE were statistically similar in terms of socioeconomic factors, comorbidities, risk factors for COVID-19, and COVID-19 test turnaround time and eventual positivity. Most common diagnostic process faults contributing to DE were problems with clinical assessment, testing choices, history taking, and physical examination (all p < 0.01). Diagnostic process faults associated with policies and procedures related to COVID-19 were not associated with DE risk. Fourteen patients (35.9% of patients with errors and 5.4% overall) suffered harm or death due to diagnostic error. LIMITATIONS: Results are limited by available documentation and do not capture communication between providers and patients. CONCLUSION: Among PUI patients, DEs were common and not associated with pandemic-related care changes, suggesting the importance of more general diagnostic process gaps in error propagation. |
format | Online Article Text |
id | pubmed-10035474 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-100354742023-03-23 Prevalence and Causes of Diagnostic Errors in Hospitalized Patients Under Investigation for COVID-19 Auerbach, Andrew D. Astik, Gopi J. O’Leary, Kevin J. Barish, Peter N. Kantor, Molly A. Raffel, Katie R. Ranji, Sumant R. Mueller, Stephanie K. Burney, Sharran N. Galinsky, Janice Gershanik, Esteban F. Goyal, Abhishek Chitneni, Pooja R. Rastegar, Sarah Esmaili, Armond M. Fenton, Cynthia Virapongse, Anunta Ngov, Li-Kheng Burden, Marisha Keniston, Angela Patel, Hemali Gupta, Ashwin B. Rohde, Jeff Marr, Ruby Greysen, S. Ryan Fang, Michele Shah, Pranav Mao, Frances Kaiksow, Farah Sterken, David Choi, Justin J. Contractor, Jigar Karwa, Abhishek Chia, David Lee, Tiffany Hubbard, Colin C. Maselli, Judith Dalal, Anuj K. Schnipper, Jeffrey L. J Gen Intern Med Original Research BACKGROUND: The COVID-19 pandemic required clinicians to care for a disease with evolving characteristics while also adhering to care changes (e.g., physical distancing practices) that might lead to diagnostic errors (DEs). OBJECTIVE: To determine the frequency of DEs and their causes among patients hospitalized under investigation (PUI) for COVID-19. DESIGN: Retrospective cohort. SETTING: Eight medical centers affiliated with the Hospital Medicine ReEngineering Network (HOMERuN). TARGET POPULATION: Adults hospitalized under investigation (PUI) for COVID-19 infection between February and July 2020. MEASUREMENTS: We randomly selected up to 8 cases per site per month for review, with each case reviewed by two clinicians to determine whether a DE (defined as a missed or delayed diagnosis) occurred, and whether any diagnostic process faults took place. We used bivariable statistics to compare patients with and without DE and multivariable models to determine which process faults or patient factors were associated with DEs. RESULTS: Two hundred and fifty-seven patient charts underwent review, of which 36 (14%) had a diagnostic error. Patients with and without DE were statistically similar in terms of socioeconomic factors, comorbidities, risk factors for COVID-19, and COVID-19 test turnaround time and eventual positivity. Most common diagnostic process faults contributing to DE were problems with clinical assessment, testing choices, history taking, and physical examination (all p < 0.01). Diagnostic process faults associated with policies and procedures related to COVID-19 were not associated with DE risk. Fourteen patients (35.9% of patients with errors and 5.4% overall) suffered harm or death due to diagnostic error. LIMITATIONS: Results are limited by available documentation and do not capture communication between providers and patients. CONCLUSION: Among PUI patients, DEs were common and not associated with pandemic-related care changes, suggesting the importance of more general diagnostic process gaps in error propagation. Springer International Publishing 2023-03-23 2023-06 /pmc/articles/PMC10035474/ /pubmed/36952085 http://dx.doi.org/10.1007/s11606-023-08176-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 | Original Research Auerbach, Andrew D. Astik, Gopi J. O’Leary, Kevin J. Barish, Peter N. Kantor, Molly A. Raffel, Katie R. Ranji, Sumant R. Mueller, Stephanie K. Burney, Sharran N. Galinsky, Janice Gershanik, Esteban F. Goyal, Abhishek Chitneni, Pooja R. Rastegar, Sarah Esmaili, Armond M. Fenton, Cynthia Virapongse, Anunta Ngov, Li-Kheng Burden, Marisha Keniston, Angela Patel, Hemali Gupta, Ashwin B. Rohde, Jeff Marr, Ruby Greysen, S. Ryan Fang, Michele Shah, Pranav Mao, Frances Kaiksow, Farah Sterken, David Choi, Justin J. Contractor, Jigar Karwa, Abhishek Chia, David Lee, Tiffany Hubbard, Colin C. Maselli, Judith Dalal, Anuj K. Schnipper, Jeffrey L. Prevalence and Causes of Diagnostic Errors in Hospitalized Patients Under Investigation for COVID-19 |
title | Prevalence and Causes of Diagnostic Errors in Hospitalized Patients Under Investigation for COVID-19 |
title_full | Prevalence and Causes of Diagnostic Errors in Hospitalized Patients Under Investigation for COVID-19 |
title_fullStr | Prevalence and Causes of Diagnostic Errors in Hospitalized Patients Under Investigation for COVID-19 |
title_full_unstemmed | Prevalence and Causes of Diagnostic Errors in Hospitalized Patients Under Investigation for COVID-19 |
title_short | Prevalence and Causes of Diagnostic Errors in Hospitalized Patients Under Investigation for COVID-19 |
title_sort | prevalence and causes of diagnostic errors in hospitalized patients under investigation for covid-19 |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035474/ https://www.ncbi.nlm.nih.gov/pubmed/36952085 http://dx.doi.org/10.1007/s11606-023-08176-6 |
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