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

Author:

Caruth JulieORCID,Black KathleenORCID,Legard AliciaORCID,De Resende Adriana,Getz KylieORCID,Borowski Michelle,Debilio Lisa,Brewer Arthur,Kipen HowardORCID,Udasin Iris G.,Graber Judith M.

Abstract

Objective 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.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Public Health, Environmental and Occupational Health

Reference15 articles.

1. COVID-19 in correctional and detention facilities—United States, February–April 2020;MMWR Morb Mortal Wkly Rep,2020

2. Managing outbreaks of highly contagious diseases in prisons: a systematic review;BMJ Glob Health,2020

3. COVID-19 cases and deaths in federal and state prisons;JAMA,2020

4. Breaking down mass incarceration in the 2010 census: state-by-state incarceration rates by race/ethnicity;Prison Policy Initiative,2014

5. Promoting health equity and criminal justice reform: the Louisiana experience;Am J Public Health,2020

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