Cargando…
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...
Autores principales: | , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783573780153499648 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7444292 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Journal Experts |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT misrahebertanitad impactofthecovid19pandemiconhealthcareworkersriskofinfectionandoutcomesinalargeintegratedhealthsystem AT jehilara impactofthecovid19pandemiconhealthcareworkersriskofinfectionandoutcomesinalargeintegratedhealthsystem AT jixinge impactofthecovid19pandemiconhealthcareworkersriskofinfectionandoutcomesinalargeintegratedhealthsystem AT nowackiamys impactofthecovid19pandemiconhealthcareworkersriskofinfectionandoutcomesinalargeintegratedhealthsystem AT gordonsteven impactofthecovid19pandemiconhealthcareworkersriskofinfectionandoutcomesinalargeintegratedhealthsystem AT terpelukpaul impactofthecovid19pandemiconhealthcareworkersriskofinfectionandoutcomesinalargeintegratedhealthsystem AT chungminak impactofthecovid19pandemiconhealthcareworkersriskofinfectionandoutcomesinalargeintegratedhealthsystem AT mehrareena impactofthecovid19pandemiconhealthcareworkersriskofinfectionandoutcomesinalargeintegratedhealthsystem AT dellkatherinem impactofthecovid19pandemiconhealthcareworkersriskofinfectionandoutcomesinalargeintegratedhealthsystem AT pennellnathan impactofthecovid19pandemiconhealthcareworkersriskofinfectionandoutcomesinalargeintegratedhealthsystem AT hamiltonaaron impactofthecovid19pandemiconhealthcareworkersriskofinfectionandoutcomesinalargeintegratedhealthsystem AT milinovichalex impactofthecovid19pandemiconhealthcareworkersriskofinfectionandoutcomesinalargeintegratedhealthsystem AT kattanmichaelw impactofthecovid19pandemiconhealthcareworkersriskofinfectionandoutcomesinalargeintegratedhealthsystem AT youngjamesb impactofthecovid19pandemiconhealthcareworkersriskofinfectionandoutcomesinalargeintegratedhealthsystem |