Evidence map›Paper›PMID 34937715›Full record

Observational studyBMJ open2021

Retrospective observational study of ethnicity-gender pay gaps among hospital and community health service doctors in England.

Carol Woodhams, Mark Williams, Jane Dacre, Ira Parnerkar, Mukunda Sharma

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
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  3. Review
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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

5 authors.

Carol WoodhamsSurrey Business School, University of Surrey, Guildford, UK C.Woodhams@surrey.ac.uk.ORCID 0000-0002-9703-1107
Mark WilliamsSchool of Business and Management, Queen Mary University of London, London, UK.ORCID 0000-0002-4108-0583
Jane DacreUCL Medical School, London, UK.
Ira ParnerkarSurrey Business School, University of Surrey, Guildford, UK.
Mukunda SharmaIndependent Researcher, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo identify differences in average basic pay between groups of National Health Service (NHS) doctors cross-classified by ethnicity and gender. Analyse the extent to which characteristics (grade, specialty, age, hours, etc.) can explain these differences.

designRetrospective observational study using repeated cross-section design.

settingHospital and Community Health Service (HCHS) in England.

participantsAll HCHS doctors in England employed by the NHS between 2016 and 2020 appearing in the Digital Electronic Staff Record dataset (average N=99 953 per year).

main outcome measuresHours-adjusted full-time equivalent pay gaps; given as raw data and further adjusted for demographic, job, and workplace characteristics (such as grade, specialty, age, whether British nationality, region) using multivariable regression and statistical decomposition techniques.

resultsPay gaps relative to white men vary with the ethnicity-gender combination. Indian men slightly out-earn white men and Bangladeshi women have a 40% pay gap. In most cases, pay gaps can largely be explained by characteristics that can be measured, especially grade, with the extent varying by specific ethnicity-gender group. However, a portion of pay gaps cannot be explained by characteristics that can be measured.

conclusionsThis study presents new evidence on ethnicity-gender pay gaps among NHS doctors in England using high quality administrative and payroll data. The findings indicate all ethnicity-gender groups earn less than white men on average, except for Indian men. In some cases, these differences cannot be explained giving rise to discussions about the role of discrimination.

Indexed as

EthnicityState MedicineCommunity Health ServicesEnglandFemaleHospitalsHumansMaleeducation & training (see medical education & training)human resource managementorganisational developmentstatistics & research methods

Identifiers

PMID34937715
PMCPMC8704980

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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.