Evidence map›Paper›PMID 36669966›Full record

Observational studyVaccine2023

COVID-19 booster vaccination uptake and infection breakthrough amongst health care workers in Wales: A national prospective cohort study.

Stuart Bedston, Emily Lowthian, Christopher I Jarvis, Ashley Akbari, Jillian Beggs, Declan Bradley, Simon de Lusignan, Rowena Griffiths, Laura Herbert, Richard Hobbs and 9 more

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Vaccine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

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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

19 authors at 7 institutions in 2 countries.

Stuart BedstonPopulation Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, UK. Electronic address: stuart.bedston@swansea.ac.uk.
Emily LowthianDepartment of Education and Childhood Studies, School of Social Sciences, Swansea University, UK. Electronic address: E.M.Lowthian@Swansea.ac.uk.
Christopher I JarvisLondon School of Hygiene and Tropical Medicine, UK. Electronic address: christopher.jarvis@lshtm.ac.uk.
Ashley AkbariPopulation Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, UK. Electronic address: A.Akbari@Swansea.ac.uk.
Jillian BeggsUsher Institute, University of Edinburgh, UK. Electronic address: jillianbeggs@hotmail.co.uk.
Declan BradleyCentre for Public Health, Queen's University Belfast, Belfast, UK. And Public Health Agency, Belfast, UK. Electronic address: Declan.bradley@qub.ac.uk.
Simon de LusignanNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK. Electronic address: simon.delusignan@phc.ox.ac.uk.
Rowena GriffithsPopulation Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, UK. Electronic address: Rowena.Griffiths@Swansea.ac.uk.
Laura HerbertPopulation Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, UK. Electronic address: L.M.Herbert@Swansea.ac.uk.
Richard HobbsNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK. Electronic address: Richard.hobbs@phc.ox.ac.uk.
Steven KerrUsher Institute, The University of Edinburgh, Edinburgh, UK. Electronic address: steven.kerr@ed.ac.uk.
Jane LyonsPopulation Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, UK. Electronic address: J.Lyons@Swansea.ac.uk.
William MidgleyPopulation Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, UK. Electronic address: w.h.midgley@swansea.ac.uk.
Rhiannon K OwenPopulation Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, UK. Electronic address: R.K.Owen@Swansea.ac.uk.
Jennifer K QuintNational Heart & Lung Institute, Faculty of Medicine, Imperial College London, UK. Electronic address: j.quint@imperial.ac.uk.
Ruby TsangNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK. Electronic address: ruby.tsang@phc.ox.ac.uk.
Fatemeh TorabiPopulation Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, UK. Electronic address: Fatemeh.Torabi@Swansea.ac.uk.
Aziz SheikhUsher Institute and HDR UK BREATHE Hub, University of Edinburgh, UK. Electronic address: aziz.sheikh@ed.ac.uk.
Ronan A LyonsPopulation Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, UK. Electronic address: R.A.Lyons@Swansea.ac.uk.
Swansea University · GBUniversity of Oxford · GBUniversity of Edinburgh · GBHealth Data Research UK · GBLondon School of Hygiene & Tropical Medicine · GBLung Institute · USQueen's University Belfast · GB

Funding

British Heart FoundationChief Scientist OfficeDepartment of HealthMedical Research Council MC_PC_19004Medical Research Council MC_PC_20029Medical Research Council MC_PC_20058Medical Research Council MR/R008345/1Medical Research Council MR/V028367/1Wellcome Trust
6 · The paper itself

Abstract

backgroundFrom September 2021, Health Care Workers (HCWs) in Wales began receiving a COVID-19 booster vaccination. This is the first dose beyond the primary vaccination schedule. Given the emergence of new variants, vaccine waning vaccine, and increasing vaccination hesitancy, there is a need to understand booster vaccine uptake and subsequent breakthrough in this high-risk population.

methodsWe conducted a prospective, national-scale, observational cohort study of HCWs in Wales using anonymised, linked data from the SAIL Databank. We analysed uptake of COVID-19 booster vaccinations from September 2021 to February 2022, with comparisons against uptake of the initial primary vaccination schedule. We also analysed booster breakthrough, in the form of PCR-confirmed SARS-Cov-2 infection, comparing to the second primary dose. Cox proportional hazard models were used to estimate associations for vaccination uptake and breakthrough regarding staff roles, socio-demographics, household composition, and other factors.

resultsWe derived a cohort of 73,030 HCWs living in Wales (78% female, 60% 18-49 years old). Uptake was quickest amongst HCWs aged 60 + years old (aHR 2.54, 95%CI 2.45-2.63), compared with those aged 18-29. Asian HCWs had quicker uptake (aHR 1.18, 95%CI 1.14-1.22), whilst Black HCWs had slower uptake (aHR 0.67, 95%CI 0.61-0.74), compared to white HCWs. HCWs residing in the least deprived areas were slightly quicker to have received a booster dose (aHR 1.12, 95%CI 1.09-1.16), compared with those in the most deprived areas. Strongest associations with breakthrough infections were found for those living with children (aHR 1.52, 95%CI 1.41-1.63), compared to two-adult only households. HCWs aged 60 + years old were less likely to get breakthrough infections, compared to those aged 18-29 (aHR 0.42, 95%CI 0.38-0.47).

conclusionVaccination uptake was consistently lower among black HCWs, as well as those from deprived areas. Whilst breakthrough infections were highest in households with children.

Indexed as

COVID-19VaccinesAdolescentAdultBreakthrough InfectionsChildFemaleHealth PersonnelHumansMaleMiddle AgedProspective StudiesSARS-CoV-2VaccinationWalesYoung AdultVaccinesBoosterBreakthroughCOVID-19Health care workersUptakeVaccination

Identifiers

PMID36669966
PMCPMC9837216
OpenAlexW4316038233

What OpenQuestion holds

Textmetadata
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.