Evidence map›Paper›PMID 37221040›Full record

ArticleOccupational and environmental medicine2023

Coverage, completion and outcomes of COVID-19 risk assessments in a multi-ethnic nationwide cohort of UK healthcare workers: a cross-sectional analysis from the UK-REACH Study.

Christopher A Martin, Katherine Woolf, Luke Bryant, Charles Goss, Mayuri Gogoi, Susie Lagrata, Padmasayee Papineni, Irtiza Qureshi, Fatimah Wobi, Laura Nellums and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Occupational and environmental medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 21% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

13 authors at 6 institutions in 3 countries.

Christopher A MartinDepartment of Respiratory Sciences, University of Leicester, Leicester, UK.
Katherine WoolfResearch Department of Medical Education, University College London Medical School, London, UK.
Luke BryantDepartment of Respiratory Sciences, University of Leicester, Leicester, UK.
Charles GossDepartment of Occupational Health, University Hospitals of Leicester NHS Trust, Leicester, UK.
Mayuri GogoiDepartment of Respiratory Sciences, University of Leicester, Leicester, UK.
Susie LagrataQueen Square Insitute of Neurology and National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK.
Padmasayee PapineniDepartment of Infectious Diseases, London North West University Healthcare NHS Trust, Harrow, UK.
Irtiza QureshiPopulation and Lifespan Sciences, University of Nottingham, Nottingham, UK.
Fatimah WobiPublic Health Institute, Liverpool John Moores University, Liverpool, UK.
Laura NellumsPopulation and Lifespan Sciences, University of Nottingham, Nottingham, UK.
Kamlesh KhuntiDiabetes Research Centre, University of Leicester, Leicester, UK.
Manish PareekDepartment of Infection and HIV Medicine, University Hospitals of Leicester NHS Trust, Leicester, UK mp426@le.ac.uk.ORCID 0000-0003-1521-9964
UK-REACH Study Collaborative Group
University of Leicester · GBUniversity Hospitals of Leicester NHS Trust · GBUniversity of Nottingham · GBLondon North West Healthcare NHS Trust · GBUniversity College London · GBUniversity College London Hospitals NHS Foundation Trust · GB

Funding

Department of Health NIHR200171Department of Health NIHR301192HSRD VA TPP 10-008Medical Research Council MC_PC_19004Medical Research Council MR/V027549/1
6 · The paper itself

Abstract

introductionThere are limited data on the outcomes of COVID-19 risk assessment in healthcare workers (HCWs) or the association of ethnicity, other sociodemographic and occupational factors with risk assessment outcomes.

methodsWe used questionnaire data from UK-REACH (UK Research study into Ethnicity And COVID-19 outcomes in Healthcare workers), an ethnically diverse, nationwide cohort of UK HCWs. We derived four binary outcomes: (1) offered a risk assessment; (2) completed a risk assessment; (3) working practices changed as a result of the risk assessment; (4) wanted changes to working practices after risk assessment but working practices did not change.We examined the association of ethnicity, other sociodemographic/occupational factors and actual/perceived COVID-19 risk variables on our outcomes using multivariable logistic regression.

results8649 HCWs were included in total. HCWs from ethnic minority groups were more likely to report being offered a risk assessment than white HCWs, and those from Asian and black ethnic groups were more likely to report having completed an assessment if offered. Ethnic minority HCWs had lower odds of reporting having their work change as a result of risk assessment. Those from Asian and black ethnic groups were more likely to report no changes to their working practices despite wanting them.Previous SARS-CoV-2 infection was associated with lower odds of being offered a risk assessment and having adjustments made to working practices. DISCUSSION: We found differences in risk assessment outcomes by ethnicity, other sociodemographic/occupational factors and actual/perceived COVID-19 risk factors. These findings are concerning and warrant further research using actual (rather than reported) risk assessment outcomes in an unselected cohort.

Indexed as

COVID-19Cross-Sectional StudiesEthnicityHealth PersonnelHumansMinority GroupsRisk AssessmentSARS-CoV-2United KingdomCOVID-19Ethnic GroupsHealth PersonnelRisk assessment

Identifiers

PMID37221040
PMCPMC10314065
OpenAlexW4377819761

What OpenQuestion holds

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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.