• Login
    View Item 
    •   Home
    • Nottinghamshire Healthcare NHS Foundation Trust
    • Conditions and Diseases
    • COVID-19
    • COVID-19
    • View Item
    •   Home
    • Nottinghamshire Healthcare NHS Foundation Trust
    • Conditions and Diseases
    • COVID-19
    • COVID-19
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of EMERCommunitiesPublication DateAuthorsTitlesSubjectsThis CollectionPublication DateAuthorsTitlesSubjectsProfilesView

    My Account

    LoginRegister

    Links

    About EMERPoliciesDerbyshire Community Health Services NHS Foundation TrustLeicester Partnership TrustNHS Nottingham and Nottinghamshire CCGNottinghamshire Healthcare NHS Foundation TrustNottingham University Hospitals NHS TrustSherwood Forest Hospitals NHS Foundation TrustUniversity Hospitals of Derby and Burton NHS Foundation TrustUniversity Hospitals Of Leicester NHS TrustOther Resources

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Predictors of SARS-CoV-2 infection in a multi-ethnic cohort of United Kingdom healthcare workers: A prospective nationwide cohort study (UK-REACH) [In Press]

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Author
    Simpson, Sandra
    Keyword
    SARS-CoV-2
    COVID-19
    Ethnic groups
    Health personnel
    Infection control
    Article in press
    Date
    2022
    
    Metadata
    Show full item record
    DOI
    10.1101/2021.12.16.21267934
    Publisher's URL
    https://www.medrxiv.org/content/10.1101/2021.12.16.21267934v1
    Abstract
    Introduction Healthcare workers (HCWs), particularly those from ethnic minority groups, have been shown to be at disproportionately higher risk of infection with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) compared to the general population. However, there is insufficient evidence on how demographic and occupational factors influence infection risk among ethnic minority HCWs. Methods We conducted a cross-sectional analysis using data from the United Kingdom Research study into Ethnicity And COVID-19 Outcomes in Healthcare workers (UK-REACH) cohort study. We used logistic regression to examine associations of demographic, household and occupational predictor variables with SARS-CoV-2 infection (defined by PCR, serology or suspected COVID-19) in a diverse group of HCWs. Results 2,496 of the 10,772 HCWs (23.2%) who worked during the first UK national lockdown in March 2020 reported previous SARS-CoV-2 infection. In an adjusted model, demographic and household factors associated with increased odds of infection included younger age, living with other key workers and higher religiosity. Important occupational risk factors associated with increased odds of infection included attending to a higher number of COVID-19 positive patients (aOR 2.49, 95%CI 2.03–3.05 for ≥21 patients per week vs none), working in a nursing or midwifery role (1.35, 1.15– 1.58, compared to doctors), reporting a lack of access to personal protective equipment (1.27, 1.15 – 1.41) and working in an ambulance (1.95, 1.52–2.50) or hospital inpatient setting (1.54, 1.37 – 1.74). Those who worked in Intensive Care Units were less likely to have been infected (0.76, 0.63–0.90) than those who did not. Black HCWs were more likely to have been infected than their White colleagues, an effect which attenuated after adjustment for other known predictors. Conclusions We identified key sociodemographic and occupational risk factors associated with SARS-CoV-2 infection amongst UK HCWs, and have determined factors that might contribute to a disproportionate odds of infection in HCWs from Black ethnic groups. These findings demonstrate the importance of social and occupational factors in driving ethnic disparities in COVID-19 outcomes, and should inform policies, including targeted vaccination strategies and risk assessments aimed at protecting HCWs in future waves of the COVID-19 pandemic.
    Citation
    Martin, C. A., Pan, D., Melbourne, C., Teece, L., Aujayeb, A., Baggaley, R. F., Bryant, L., Carr, S., Gregary, B., Gupta, A., et al. (2022). Predictors of SARS-CoV-2 infection in a multi-ethnic cohort of United Kingdom healthcare workers: A prospective nationwide cohort study (UK-REACH) [In Press].
    Type
    Article
    URI
    http://hdl.handle.net/20.500.12904/19062
    Collections
    COVID-19
    Staffing

    entitlement

     
    DSpace software (copyright © 2002 - 2025)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.