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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.
Hollinghurst, Joe; North, Laura; Szakmany, Tamas; Pugh, Richard; Davies, Gwyneth A; Sivakumaran, Shanya; Jarvis, Rebecca; Rolles, Martin; Pickrell, W Owen; Akbari, Ashley; Davies, Gareth; Griffiths, Rowena; Lyons, Jane; Torabi, Fatemeh; Fry, Richard; Gravenor, Mike B; Lyons, Ronan A.
  • Hollinghurst J; Population Data Science and Health Data Research UK, Swansea University Medical School, Swansea University, Swansea, Wales, United Kingdom, SA2 8PP.
  • North L; Population Data Science and Health Data Research UK, Swansea University Medical School, Swansea University, Swansea, Wales, United Kingdom, SA2 8PP.
  • Szakmany T; Critical Care Directorate, Grange University Hospital, Aneurin Bevan University Health Board, Llanyravon, Cwmbran, NP44 2XJ.
  • Pugh R; Department of Anaesthesia, Intensive Care and Pain Medicine, Division of Population Medicine, Cardiff University, Heath Park Campus, Cardiff, CF14 4XN.
  • Davies GA; Population Data Science and Health Data Research UK, Swansea University Medical School, Swansea University, Swansea, Wales, United Kingdom, SA2 8PP.
  • Sivakumaran S; Population Data Science and Health Data Research UK, Swansea University Medical School, Swansea University, Swansea, Wales, United Kingdom, SA2 8PP.
  • Jarvis R; Department of Anaesthetics, Glan Clwyd Hospital, Betsi Cadwaladr University Health Board.
  • Rolles M; Digital Workforce, NHS Wales Shared Services Partnership.
  • Pickrell WO; South West Wales Cancer Centre, Singleton Hospital, Swansea SA2 8QA.
  • Akbari A; Population Data Science and Health Data Research UK, Swansea University Medical School, Swansea University, Swansea, Wales, United Kingdom, SA2 8PP.
  • Davies G; Population Data Science and Health Data Research UK, Swansea University Medical School, Swansea University, Swansea, Wales, United Kingdom, SA2 8PP.
  • Griffiths R; Population Data Science and Health Data Research UK, Swansea University Medical School, Swansea University, Swansea, Wales, United Kingdom, SA2 8PP.
  • Lyons J; Population Data Science and Health Data Research UK, Swansea University Medical School, Swansea University, Swansea, Wales, United Kingdom, SA2 8PP.
  • Torabi F; Population Data Science and Health Data Research UK, Swansea University Medical School, Swansea University, Swansea, Wales, United Kingdom, SA2 8PP.
  • Fry R; Population Data Science and Health Data Research UK, Swansea University Medical School, Swansea University, Swansea, Wales, United Kingdom, SA2 8PP.
  • Gravenor MB; Swansea University Medical School and Neurology Department, Morriston Hospital, Swansea Bay University Health Board.
  • Lyons RA; Population Data Science and Health Data Research UK, Swansea University Medical School, Swansea University, Swansea, Wales, United Kingdom, SA2 8PP.
J R Soc Med ; : 1410768221107119, 2022 Jul 07.
Article in English | MEDLINE | ID: covidwho-1916722
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.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Vaccines Language: English Journal: J R Soc Med Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Vaccines Language: English Journal: J R Soc Med Year: 2022 Document Type: Article