Evidence map›Paper›PMID 38031070›Full record

ArticleBMC medicine2023

Representativeness in health research studies: an audit of Greater Manchester Clinical Research Network studies between 2016 and 2021.

Kathryn M Abel, Maja R Radojčić, Archie Rayner, Rabia Butt, Pauline Whelan, Isaac Parr, Lauren F Gledhill, Ashley Minchin, Peter Bower, Holly Hope

Abstract read
In one paragraph

Article in BMC medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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.

Kathryn M AbelCentre for Women's Mental Health, Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Maja R RadojčićCentre for Women's Mental Health, Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Archie RaynerCentre for Women's Mental Health, Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Rabia ButtNational Institute for Health and Care Research Greater Manchester Clinical Research Network, Manchester, UK.
Pauline WhelanCentre for Health Informatics, Division of Imaging, Informatics and Data Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Isaac ParrNational Institute for Health and Care Research Greater Manchester Clinical Research Network, Manchester, UK.
Lauren F GledhillNational Institute for Health and Care Research Applied Research Collaboration Greater Manchester, Manchester, UK.
Ashley MinchinNational Institute for Health and Care Research Greater Manchester Clinical Research Network, Manchester, UK.
Peter Bower *National Institute for Health and Care Research Greater Manchester Clinical Research Network, Manchester, UK.
Holly Hope *Centre for Women's Mental Health, Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK. holly.hope@manchester.ac.uk.ORCID 0000-0002-4834-6719

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are increasing concerns that participants in health research in the UK are not representative of the UK population, risking widening health inequities. However, detailed information on the magnitude of the problem is limited. Therefore, we evaluated if the health research conducted in the Greater Manchester region was broadly representative of its diverse population.

methodsWe conducted an audit of all health  research studies conducted exclusively in Greater Manchester, using data from a national research network. Two researchers selected studies that were (1) an interventional or observational study of a health outcome; (2) 'closed' for recruitment between May 2016 and May 2021 and (3) human research. They extracted study information (dates, contacts, sample recruited, clinical speciality). Participant characteristics were sourced from published and unpublished manuscripts and requested directly from principal investigators and named study contacts. Data were extracted, summarised and compared to the Greater Manchester population for the following metrics: ethnicity, sex, age, deprivation and smoking status. A weighted mean age estimate was calculated to account for variation in age reporting. Too few studies provided patient-level deprivation data so, using the area code of the recruitment site, the area level multiple deprivation, health deprivation and disability index and decile was derived. These data were geo-mapped using QGIS 3.26.

resultsOverall, 145/153 (95%) studies met inclusion criteria and participant information was sourced for 85/145 (59%) studies, representing 21,797 participants. Participant information was incomplete for all metrics. Where ethnicity (N = 10,259) data were available and compared to Greater Manchester estimates there was evidence that ethnic minorities were under-represented (6% versus 16%). Most of the recruitment occurred in central Manchester (50%) and with NHS hospital settings (74%).

conclusionsGreater Manchester health research in 2016-2021 was centralised and under-represented ethnic minorities. We could not report which ethnic minority group was least represented because sourcing detailed participant information was challenging. Recommendations to improve the reporting of key participant characteristics with which to monitor representativeness in health research are discussed.

Indexed as

EthnicityMinority GroupsHumansAuditEqualityEquityEthnicityHealth servicesRepresentativeness

Identifiers

PMID38031070
PMCPMC10687774

What OpenQuestion holds

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Registered trials

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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.