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Incidence and Predictors of COVID-19 Infection in Prison Healthcare Workers

The aim of the study is to assess the predictors of SARS-CoV-2 infection among correctional healthcare workers (HCWs). METHODS: We conducted a retrospective chart review to describe the demographic and workplace characteristics of New Jersey correctional HCWs between March 15, 2020, and August 31, 2...

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Autores principales: Caruth, Julie, Black, Kathleen, Legard, Alicia, De Resende, Adriana, Getz, Kylie, Borowski, Michelle, Debilio, Lisa, Brewer, Arthur, Kipen, Howard, Udasin, Iris G., Graber, Judith M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10329989/
https://www.ncbi.nlm.nih.gov/pubmed/36882811
http://dx.doi.org/10.1097/JOM.0000000000002836
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author Caruth, Julie
Black, Kathleen
Legard, Alicia
De Resende, Adriana
Getz, Kylie
Borowski, Michelle
Debilio, Lisa
Brewer, Arthur
Kipen, Howard
Udasin, Iris G.
Graber, Judith M.
author_facet Caruth, Julie
Black, Kathleen
Legard, Alicia
De Resende, Adriana
Getz, Kylie
Borowski, Michelle
Debilio, Lisa
Brewer, Arthur
Kipen, Howard
Udasin, Iris G.
Graber, Judith M.
author_sort Caruth, Julie
collection PubMed
description The aim of the study is to assess the predictors of SARS-CoV-2 infection among correctional healthcare workers (HCWs). METHODS: We conducted a retrospective chart review to describe the demographic and workplace characteristics of New Jersey correctional HCWs between March 15, 2020, and August 31, 2020, using univariate and multivariable analysis. RESULTS: Among 822 HCWs, patient-facing staff had the highest incidence of infection (7.2%). Associated risk factors include being Black and working in a maximum-security prison. There were few statistically significant findings due to small total numbers (n = 47) that tested positive. CONCLUSIONS: Correctional HCWs’ challenging work environment creates unique risk factors for infection with the SARS-CoV-2 virus. Administrative measures taken by the department of corrections may have a significant role in curbing the spread of infection. The findings can help focus preventive measures for reducing the spread of COVID-19 in this unique population.
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spelling pubmed-103299892023-07-10 Incidence and Predictors of COVID-19 Infection in Prison Healthcare Workers Caruth, Julie Black, Kathleen Legard, Alicia De Resende, Adriana Getz, Kylie Borowski, Michelle Debilio, Lisa Brewer, Arthur Kipen, Howard Udasin, Iris G. Graber, Judith M. J Occup Environ Med Original Articles The aim of the study is to assess the predictors of SARS-CoV-2 infection among correctional healthcare workers (HCWs). METHODS: We conducted a retrospective chart review to describe the demographic and workplace characteristics of New Jersey correctional HCWs between March 15, 2020, and August 31, 2020, using univariate and multivariable analysis. RESULTS: Among 822 HCWs, patient-facing staff had the highest incidence of infection (7.2%). Associated risk factors include being Black and working in a maximum-security prison. There were few statistically significant findings due to small total numbers (n = 47) that tested positive. CONCLUSIONS: Correctional HCWs’ challenging work environment creates unique risk factors for infection with the SARS-CoV-2 virus. Administrative measures taken by the department of corrections may have a significant role in curbing the spread of infection. The findings can help focus preventive measures for reducing the spread of COVID-19 in this unique population. Lippincott Williams & Wilkins 2023-07 2023-03-07 /pmc/articles/PMC10329989/ /pubmed/36882811 http://dx.doi.org/10.1097/JOM.0000000000002836 Text en Copyright © 2023 American College of Occupational and Environmental Medicine This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.
spellingShingle Original Articles
Caruth, Julie
Black, Kathleen
Legard, Alicia
De Resende, Adriana
Getz, Kylie
Borowski, Michelle
Debilio, Lisa
Brewer, Arthur
Kipen, Howard
Udasin, Iris G.
Graber, Judith M.
Incidence and Predictors of COVID-19 Infection in Prison Healthcare Workers
title Incidence and Predictors of COVID-19 Infection in Prison Healthcare Workers
title_full Incidence and Predictors of COVID-19 Infection in Prison Healthcare Workers
title_fullStr Incidence and Predictors of COVID-19 Infection in Prison Healthcare Workers
title_full_unstemmed Incidence and Predictors of COVID-19 Infection in Prison Healthcare Workers
title_short Incidence and Predictors of COVID-19 Infection in Prison Healthcare Workers
title_sort incidence and predictors of covid-19 infection in prison healthcare workers
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10329989/
https://www.ncbi.nlm.nih.gov/pubmed/36882811
http://dx.doi.org/10.1097/JOM.0000000000002836
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