SARS-CoV-2 infection risk among 77,587 healthcare workers: a national observational longitudinal cohort study in Wales, United Kingdom, April to November 2020

Author:

Hollinghurst Joe1ORCID,North Laura1,Szakmany Tamas2,Pugh Richard3,Davies Gwyneth A1,Sivakumaran Shanya1ORCID,Jarvis Rebecca4,Rolles Martin5,Pickrell W Owen6,Akbari Ashley1ORCID,Davies Gareth1,Griffiths Rowena1,Lyons Jane1,Torabi Fatemeh1,Fry Richard1,Gravenor Mike B7,Lyons Ronan A1

Affiliation:

1. Population Data Science and Health Data Research UK, Swansea University Medical School, Swansea University, Swansea, Wales, United Kingdom, SA2 8PP

2. Critical Care Directorate, Grange University Hospital, Aneurin Bevan University Health Board, Llanyravon, Cwmbran, NP44 2XJ

3. Department of Anaesthesia, Intensive Care and Pain Medicine, Division of Population Medicine, Cardiff University, Heath Park Campus, Cardiff, CF14 4XN

4. Department of Anaesthetics, Glan Clwyd Hospital, Betsi Cadwaladr University Health Board

5. Digital Workforce, NHS Wales Shared Services Partnership

6. South West Wales Cancer Centre, Singleton Hospital, Swansea SA2 8QA

7. Swansea University Medical School and Neurology Department, Morriston Hospital, Swansea Bay University Health Board

Abstract

Objectives To 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. Design Observational, longitudinal, national cohort study. Setting Our cohort were secondary care (hospital-based) healthcare workers employed by NHS Wales (United Kingdom) organisations from 1 April 2020 to 30 November 2020. Participants We 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 measures We used univariable and multivariable logistic regression models to determine odds ratios (ORs) for the risk of a positive SARS-CoV-2 PCR test. Results Patient-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. Conclusions These 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.

Funder

Economic and Social Research Council

Health and Care Research Wales

Medical Research Council

Health Data Research UK

Publisher

SAGE Publications

Subject

General Medicine

Reference30 articles.

1. COVID-19 case numbers. See www.worldometers.info/coronavirus/ (last checked 19 January 2021).

2. WHO. Keep health workers safe to keep patients safe: WHO 2020. Se www.who.int/news/item/17-09-2020-keep-health-workers-safe-to-keep-patients-safe-who (last checked 19 January 2021).

3. Universal masking is an effective strategy to flatten the severe acute respiratory coronavirus virus 2 (SARS-CoV-2) healthcare worker epidemiologic curve

4. Association Between Universal Masking in a Health Care System and SARS-CoV-2 Positivity Among Health Care Workers

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