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Impact of the COVID-19 pandemic on healthcare workers risk of infection and outcomes in a large, integrated health system.

BACKGROUND: Understanding the impact of the COVID-19 pandemic on healthcare workers (HCW) is crucial. OBJECTIVE: Utilizing a health system COVID-19 research registry, we assessed HCW risk for COVID-19 infection, hospitalization and intensive care unit (ICU) admission. DESIGN: Retrospective cohort st...

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Autores principales: Misra-Hebert, Anita D, Jehi, Lara, Ji, Xinge, Nowacki, Amy S., Gordon, Steven, Terpeluk, Paul, Chung, Mina K., Mehra, Reena, Dell, Katherine M., Pennell, Nathan, Hamilton, Aaron, Milinovich, Alex, Kattan, Michael W., Young, James B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7444292/
https://www.ncbi.nlm.nih.gov/pubmed/32839766
http://dx.doi.org/10.21203/rs.3.rs-61235/v1
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author Misra-Hebert, Anita D
Jehi, Lara
Ji, Xinge
Nowacki, Amy S.
Gordon, Steven
Terpeluk, Paul
Chung, Mina K.
Mehra, Reena
Dell, Katherine M.
Pennell, Nathan
Hamilton, Aaron
Milinovich, Alex
Kattan, Michael W.
Young, James B.
author_facet Misra-Hebert, Anita D
Jehi, Lara
Ji, Xinge
Nowacki, Amy S.
Gordon, Steven
Terpeluk, Paul
Chung, Mina K.
Mehra, Reena
Dell, Katherine M.
Pennell, Nathan
Hamilton, Aaron
Milinovich, Alex
Kattan, Michael W.
Young, James B.
author_sort Misra-Hebert, Anita D
collection PubMed
description BACKGROUND: Understanding the impact of the COVID-19 pandemic on healthcare workers (HCW) is crucial. OBJECTIVE: Utilizing a health system COVID-19 research registry, we assessed HCW risk for COVID-19 infection, hospitalization and intensive care unit (ICU) admission. DESIGN: Retrospective cohort study with overlap propensity score weighting. PARTICIPANTS: Individuals tested for SARS-CoV-2 infection in a large academic healthcare system (N=72,909) from March 8-June 9 2020 stratified by HCW and patient-facing status. MAIN MEASURES: SARS-CoV-2 test result, hospitalization, and ICU admission for COVID-19 infection. KEY RESULTS: Of 72,909 individuals tested, 9.0% (551) of 6,145 HCW tested positive for SARS-CoV-2 compared to 6.5% (4353) of 66,764 non-HCW. The HCW were younger than non-HCW (median age 39.7 vs. 57.5, p<0.001) with more females (proportion of males 21.5 vs. 44.9%, p<0.001), higher reporting of COVID-19 exposure (72 vs. 17 %, p<0.001) and fewer comorbidities. However, the overlap propensity score weighted proportions were 8.9 vs. 7.7 for HCW vs. non-HCW having a positive test with weighted odds ratio (OR) 1.17, 95% confidence interval (CI) 0.99–1.38. Among those testing positive, weighted proportions for hospitalization were 7.4 vs.15.9 for HCW vs. non-HCW with OR of 0.42 (CI 0.26–0.66) and for ICU admission: 2.2 vs.4.5 for HCW vs. non-HCW with OR of 0.48 (CI 0.20–1.04). Those HCW identified as patient-facing compared to not had increased odds of a positive SARS-CoV-2 test (OR 1.60, CI 1.08–2.39, proportions 8.6 vs. 5.5), but no statistically significant increase in hospitalization (OR 0.88, CI 0.20–3.66, proportions 10.2 vs. 11.4) and ICU admission (OR 0.34, CI 0.01–3.97, proportions 1.8 vs. 5.2). CONCLUSIONS: In a large healthcare system, HCW had similar odds for testing SARS-CoV-2 positive, but lower odds of hospitalization compared to non-HCW. Patient-facing HCW had higher odds of a positive test. These results are key to understanding HCW risk mitigation during the COVID-19 pandemic.
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spelling pubmed-74442922020-08-25 Impact of the COVID-19 pandemic on healthcare workers risk of infection and outcomes in a large, integrated health system. Misra-Hebert, Anita D Jehi, Lara Ji, Xinge Nowacki, Amy S. Gordon, Steven Terpeluk, Paul Chung, Mina K. Mehra, Reena Dell, Katherine M. Pennell, Nathan Hamilton, Aaron Milinovich, Alex Kattan, Michael W. Young, James B. Res Sq Article BACKGROUND: Understanding the impact of the COVID-19 pandemic on healthcare workers (HCW) is crucial. OBJECTIVE: Utilizing a health system COVID-19 research registry, we assessed HCW risk for COVID-19 infection, hospitalization and intensive care unit (ICU) admission. DESIGN: Retrospective cohort study with overlap propensity score weighting. PARTICIPANTS: Individuals tested for SARS-CoV-2 infection in a large academic healthcare system (N=72,909) from March 8-June 9 2020 stratified by HCW and patient-facing status. MAIN MEASURES: SARS-CoV-2 test result, hospitalization, and ICU admission for COVID-19 infection. KEY RESULTS: Of 72,909 individuals tested, 9.0% (551) of 6,145 HCW tested positive for SARS-CoV-2 compared to 6.5% (4353) of 66,764 non-HCW. The HCW were younger than non-HCW (median age 39.7 vs. 57.5, p<0.001) with more females (proportion of males 21.5 vs. 44.9%, p<0.001), higher reporting of COVID-19 exposure (72 vs. 17 %, p<0.001) and fewer comorbidities. However, the overlap propensity score weighted proportions were 8.9 vs. 7.7 for HCW vs. non-HCW having a positive test with weighted odds ratio (OR) 1.17, 95% confidence interval (CI) 0.99–1.38. Among those testing positive, weighted proportions for hospitalization were 7.4 vs.15.9 for HCW vs. non-HCW with OR of 0.42 (CI 0.26–0.66) and for ICU admission: 2.2 vs.4.5 for HCW vs. non-HCW with OR of 0.48 (CI 0.20–1.04). Those HCW identified as patient-facing compared to not had increased odds of a positive SARS-CoV-2 test (OR 1.60, CI 1.08–2.39, proportions 8.6 vs. 5.5), but no statistically significant increase in hospitalization (OR 0.88, CI 0.20–3.66, proportions 10.2 vs. 11.4) and ICU admission (OR 0.34, CI 0.01–3.97, proportions 1.8 vs. 5.2). CONCLUSIONS: In a large healthcare system, HCW had similar odds for testing SARS-CoV-2 positive, but lower odds of hospitalization compared to non-HCW. Patient-facing HCW had higher odds of a positive test. These results are key to understanding HCW risk mitigation during the COVID-19 pandemic. American Journal Experts 2020-08-19 /pmc/articles/PMC7444292/ /pubmed/32839766 http://dx.doi.org/10.21203/rs.3.rs-61235/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Article
Misra-Hebert, Anita D
Jehi, Lara
Ji, Xinge
Nowacki, Amy S.
Gordon, Steven
Terpeluk, Paul
Chung, Mina K.
Mehra, Reena
Dell, Katherine M.
Pennell, Nathan
Hamilton, Aaron
Milinovich, Alex
Kattan, Michael W.
Young, James B.
Impact of the COVID-19 pandemic on healthcare workers risk of infection and outcomes in a large, integrated health system.
title Impact of the COVID-19 pandemic on healthcare workers risk of infection and outcomes in a large, integrated health system.
title_full Impact of the COVID-19 pandemic on healthcare workers risk of infection and outcomes in a large, integrated health system.
title_fullStr Impact of the COVID-19 pandemic on healthcare workers risk of infection and outcomes in a large, integrated health system.
title_full_unstemmed Impact of the COVID-19 pandemic on healthcare workers risk of infection and outcomes in a large, integrated health system.
title_short Impact of the COVID-19 pandemic on healthcare workers risk of infection and outcomes in a large, integrated health system.
title_sort impact of the covid-19 pandemic on healthcare workers risk of infection and outcomes in a large, integrated health system.
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7444292/
https://www.ncbi.nlm.nih.gov/pubmed/32839766
http://dx.doi.org/10.21203/rs.3.rs-61235/v1
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