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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2023
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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. |
format | Online Article Text |
id | pubmed-10329989 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
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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