Evidence map›Paper›PMID 34301672›Full record

ArticleBMJ open2021

Sociodemographic inequality in COVID-19 vaccination coverage among elderly adults in England: a national linked data study.

Vahe Nafilyan, Ted Dolby, Cameron Razieh, Charlotte Hannah Gaughan, Jasper Morgan, Daniel Ayoubkhani, Sarah Walker, Kamlesh Khunti, Myer Glickman, Thomas Yates

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 3 pooled it
20.6field-weighted citation impact, top 1% 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

35 citing papers in PubMed, 3 syntheses or guidelines pooled it, 78 citations in OpenAlex.

  1. Racial and ethnic disparities in COVID-19 vaccination: a systematic review and meta-analysis.Archives of public health = Archives belges de sante publique · 2025
    Pooled it
  2. Pooled it
  3. Inequality in the distribution of Covid-19 vaccine: a systematic review.International journal for equity in health · 2022
    Pooled it
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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

10 authors at 3 institutions in 2 countries.

Vahe NafilyanHealth Analysis and Life Event, Office for National Statistics, Newport, UK vahe.nafilyan@ons.gov.uk.ORCID 0000-0003-0160-217X
Ted DolbyHealth Analysis and Life Event, Office for National Statistics, Newport, UK.
Cameron RaziehDiabetes Research Centre, University of Leicester, Leicester, UK.
Charlotte Hannah GaughanMethodology Division, Office for National Statistics, Newport, UK.ORCID 0000-0002-3349-3062
Jasper MorganHealth Analysis and Life Event, Office for National Statistics, Newport, UK.
Daniel AyoubkhaniMethodology Division, Office for National Statistics, Newport, UK.
Sarah WalkerNuffield Department of Medicine, University of Oxford, Oxford, UK.
Kamlesh KhuntiDiabetes Research Centre, University of Leicester, Leicester, UK.
Myer GlickmanHealth Analysis and Life Event, Office for National Statistics, Newport, UK.
Thomas YatesDiabetes Research Centre, University of Leicester, Leicester, UK.
Office for National Statistics · GBUniversity of Leicester · GBUniversity of Oxford · GB

Funding

Medical Research Council MC_PC_20058Medical Research Council MR/V020536/1
6 · The paper itself

Abstract

objectiveTo examine inequalities in COVID-19 vaccination rates among elderly adults in England.

designCohort study.

settingPeople living in private households and communal establishments in England.

participants6 655 672 adults aged ≥70 years (mean 78.8 years, 55.2% women) who were alive on 15 March 2021.

main outcome measuresHaving received the first dose of a vaccine against COVID-19 by 15 March 2021. We calculated vaccination rates and estimated unadjusted and adjusted ORs using logistic regression models.

resultsBy 15 March 2021, 93.2% of people living in England aged 70 years and over had received at least one dose of a COVID-19 vaccine. While vaccination rates differed across all factors considered apart from sex, the greatest disparities were seen between ethnic and religious groups. The lowest rates were in people of black African and black Caribbean ethnic backgrounds, where only 67.2% and 73.8% had received a vaccine, with adjusted odds of not being vaccinated at 5.01 (95% CI 4.86 to 5.16) and 4.85 (4.75 to 4.96) times greater than the white British group. The proportion of individuals self-identifying as Muslim and Buddhist who had received a vaccine was 79.1% and 84.1%, respectively. Older age, greater area deprivation, less advantaged socioeconomic position (proxied by living in a rented home), being disabled and living either alone or in a multigenerational household were also associated with higher odds of not having received the vaccine.

conclusionResearch is now urgently needed to understand why disparities exist in these groups and how they can best be addressed through public health policy and community engagement.

Indexed as

COVID-19COVID-19 VaccinesAdultAgedAged, 80 and overCohort StudiesEnglandFemaleHumansMaleSARS-CoV-2Semantic WebVaccinationVaccination CoverageCOVID-19 VaccinesCOVID-19epidemiologyinfection control

Identifiers

PMID34301672
PMCPMC8313303
OpenAlexW3187050230

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.