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SARS-CoV-2 infection risk among 77,587 healthcare workers: a national observational longitudinal cohort study in Wales, United Kingdom, April to November 2020
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Shanya Sivakumaran,
Rebecca Jarvis,
Martin Rolles,
Owen Pickrell ,
Ashley Akbari ,
Gareth Davies,
Rowena Griffiths,
Jane Lyons,
Fatemeh Torabi ,
Rich Fry ,
Michael Gravenor ,
Ronan Lyons
Journal of the Royal Society of Medicine, Volume: 115, Issue: 12, Start page: 014107682211071
Swansea University Authors:
Joseph Hollinghurst, Laura North, Gwyneth Davies , Shanya Sivakumaran, Owen Pickrell , Ashley Akbari , Gareth Davies, Rowena Griffiths, Jane Lyons, Fatemeh Torabi , Rich Fry , Michael Gravenor , Ronan Lyons
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DOI (Published version): 10.1177/01410768221107119
Abstract
ObjectivesTo better understand the risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection among healthcare workers, leading to recommendations for the prioritisation of personal protective equipment, testing, training and vaccination.DesignObservational, longitudinal, nationa...
| Published in: | Journal of the Royal Society of Medicine |
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| ISSN: | 0141-0768 1758-1095 |
| Published: |
SAGE Publications
2022
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa60146 |
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| Abstract: |
ObjectivesTo better understand the risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection among healthcare workers, leading to recommendations for the prioritisation of personal protective equipment, testing, training and vaccination.DesignObservational, longitudinal, national cohort study.SettingOur cohort were secondary care (hospital-based) healthcare workers employed by NHS Wales (United Kingdom) organisations from 1 April 2020 to 30 November 2020.ParticipantsWe included 577,756 monthly observations among 77,587 healthcare workers. Using linked anonymised datasets, participants were grouped into 20 staff roles. Additionally, each role was deemed either patient-facing, non-patient-facing or undetermined. This was linked to individual demographic details and dates of positive SARS-CoV-2 PCR tests.Main outcome measuresWe used univariable and multivariable logistic regression models to determine odds ratios (ORs) for the risk of a positive SARS-CoV-2 PCR test.ResultsPatient-facing healthcare workers were at the highest risk of SARS-CoV-2 infection with an adjusted OR (95% confidence interval [CI]) of 2.28 (95% CI 2.10–2.47). We found that after adjustment, foundation year doctors (OR 1.83 [95% CI 1.47–2.27]), healthcare support workers [OR 1.36 [95% CI 1.20–1.54]) and hospital nurses (OR 1.27 [95% CI 1.12–1.44]) were at the highest risk of infection among all staff groups. Younger healthcare workers and those living in more deprived areas were at a higher risk of infection. We also observed that infection rates varied over time and by organisation.ConclusionsThese findings have important policy implications for the prioritisation of vaccination, testing, training and personal protective equipment provision for patient-facing roles and the higher risk staff groups. |
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| Keywords: |
COVID-19, SARS-CoV-2, healthcare workers, infection risk, public health |
| College: |
Faculty of Medicine, Health and Life Sciences |
| Funders: |
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Medical Research Council (MR/V028367/1); Health and Care Research Wales (Project: SCF-18-1504); Health Data Research UK (HDR-9006) which receives its funding from the UK Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, Department of Health and Social Care (England), Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Health and Social Care Research and Development Division (Welsh Government), Public Health Agency (Northern Ireland), British Heart Foundation (BHF) and the Wellcome Trust; and Administrative Data Research UK which is funded by the Economic and Social Research Council (grant ES/S007393/1). |
| Issue: |
12 |
| Start Page: |
014107682211071 |