Evidence map›Paper›PMID 35796183›Full record

Observational studyJournal of the Royal Society of Medicine2022

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

Joe Hollinghurst, Laura North, Tamas Szakmany, Richard Pugh, Gwyneth A Davies, Shanya Sivakumaran, Rebecca Jarvis, Martin Rolles, W Owen Pickrell, Ashley Akbari and 7 more

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Journal of the Royal Society of Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 42% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Robot doctors on the front line.Journal of the Royal Society of Medicine · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 7 institutions in 1 country.

Joe HollinghurstPopulation Data Science and Health Data Research UK, Swansea University Medical School, Swansea University, Swansea, Wales, United Kingdom, SA2 8PP.ORCID 0000-0002-3556-2017
Laura NorthPopulation Data Science and Health Data Research UK, Swansea University Medical School, Swansea University, Swansea, Wales, United Kingdom, SA2 8PP.
Tamas SzakmanyCritical Care Directorate, Grange University Hospital, Aneurin Bevan University Health Board, Llanyravon, Cwmbran, NP44 2XJ.
Richard PughDepartment of Anaesthesia, Intensive Care and Pain Medicine, Division of Population Medicine, Cardiff University, Heath Park Campus, Cardiff, CF14 4XN.
Gwyneth A DaviesPopulation Data Science and Health Data Research UK, Swansea University Medical School, Swansea University, Swansea, Wales, United Kingdom, SA2 8PP.
Shanya SivakumaranPopulation Data Science and Health Data Research UK, Swansea University Medical School, Swansea University, Swansea, Wales, United Kingdom, SA2 8PP.ORCID 0000-0003-1914-6643
Rebecca JarvisDepartment of Anaesthetics, Glan Clwyd Hospital, Betsi Cadwaladr University Health Board.
Martin RollesDigital Workforce, NHS Wales Shared Services Partnership.
W Owen PickrellSouth West Wales Cancer Centre, Singleton Hospital, Swansea SA2 8QA.
Ashley AkbariPopulation Data Science and Health Data Research UK, Swansea University Medical School, Swansea University, Swansea, Wales, United Kingdom, SA2 8PP.ORCID 0000-0003-0814-0801
Gareth DaviesPopulation Data Science and Health Data Research UK, Swansea University Medical School, Swansea University, Swansea, Wales, United Kingdom, SA2 8PP.
Rowena GriffithsPopulation Data Science and Health Data Research UK, Swansea University Medical School, Swansea University, Swansea, Wales, United Kingdom, SA2 8PP.
Jane LyonsPopulation Data Science and Health Data Research UK, Swansea University Medical School, Swansea University, Swansea, Wales, United Kingdom, SA2 8PP.
Fatemeh TorabiPopulation Data Science and Health Data Research UK, Swansea University Medical School, Swansea University, Swansea, Wales, United Kingdom, SA2 8PP.
Richard FryPopulation Data Science and Health Data Research UK, Swansea University Medical School, Swansea University, Swansea, Wales, United Kingdom, SA2 8PP.
Mike B GravenorSwansea University Medical School and Neurology Department, Morriston Hospital, Swansea Bay University Health Board.
Ronan A LyonsPopulation Data Science and Health Data Research UK, Swansea University Medical School, Swansea University, Swansea, Wales, United Kingdom, SA2 8PP.
Swansea University · GBAneurin Bevan University Health Board · GBCardiff University · GBGlan Clwyd Hospital · GBNHS Wales Shared Services Partnership · GBSingleton Hospital · GBSwansea Bay University Health Board · GB

Funding

HCRW_ SCF-18-1504Medical Research Council MC_PC_20058Medical Research Council MR/V028367/1
6 · The paper itself

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.

Indexed as

COVID-19Cohort StudiesHealth PersonnelHumansLongitudinal StudiesSARS-CoV-2United KingdomCOVID-19healthcare workersinfection riskpublic healthSARS-CoV-2

Identifiers

PMID35796183
PMCPMC9747896
OpenAlexW4284691103

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.