Evidence map›Paper›PMID 32418543›Full record

Observational studyBMC medicine2020

Is health research undertaken where the burden of disease is greatest? Observational study of geographical inequalities in recruitment to research in England 2013-2018.

Peter Bower, Christos Grigoroglou, Laura Anselmi, Evangelos Kontopantelis, Matthew Sutton, Mark Ashworth, Philip Evans, Stephen Lock, Stephen Smye, Kathryn Abel

Abstract readHistorical ArticleObservational Study
In one paragraph

Observational study in BMC medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 4 pooled it
–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

34 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. How Do Participatory Citizenship Models Inform Co-production in Health Research? A Systematic Review.Health expectations : an international journal of public participation in health care and health policy · 2025
    Pooled it
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  4. Exercise-based interventions targeting balance and falls in people with COPD: a systematic review and meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2024
    Pooled it
  5. Improving Diversity in Recruitment: Lessons Learned During the REACH Pregnancy Circles Pilot Trial.Health expectations : an international journal of public participation in health care and health policy · 2025
    Trial
  6. Trial
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  8. Enhancing the Prospective Acceptability of a Paediatric Speech and Language Therapy Intervention With Parents From Under-Represented Communities.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
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  12. Review
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  17. Relationship between research activity and the performance of English general practices: cross-sectional and longitudinal analyses.The British journal of general practice : the journal of the Royal College of General Practitioners · 2025
    Article
  18. Observational
  19. Article
  20. 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

10 authors.

Peter BowerNIHR Clinical Research Network, University of Manchester, Manchester, UK. peter.bower@manchester.ac.uk.
Christos GrigoroglouNIHR School for Primary Care Research, University of Manchester, Manchester, UK.
Laura AnselmiNIHR School for Primary Care Research, University of Manchester, Manchester, UK.
Evangelos KontopantelisNIHR School for Primary Care Research, University of Manchester, Manchester, UK.
Matthew SuttonNIHR School for Primary Care Research, University of Manchester, Manchester, UK.
Mark AshworthSchool of Population Health and Environmental Sciences, King's College London, Manchester, UK.
Philip EvansGeneral Practice and Primary Care, College of Medicine and Health, University of Exeter, Manchester, UK.
Stephen LockNIHR Clinical Research Network Business Intelligence, Manchester, UK.
Stephen SmyeNIHR CRN Specialty Cluster Lead, CRN National Coordinating Centre (CRNCC), NIHR Clinical Research Network (CRN), Kings College London, London, UK.
Kathryn AbelNIHR Clinical Research Network, University of Manchester, Manchester, UK.

Funding

Medical Research Council MR/S022554/1National Institute for Health Research NA
6 · The paper itself

Abstract

backgroundResearch is fundamental to high-quality care, but concerns have been raised about whether health research is conducted in the populations most affected by high disease prevalence. Geographical distribution of research activity is important for many reasons. Recruitment is a major barrier to research delivery, and undertaking recruitment in areas of high prevalence could be more efficient. Regional variability exists in risk factors and outcomes, so research done in healthier populations may not generalise. Much applied health research evaluates interventions, and their impact may vary by context (including geography). Finally, fairness dictates that publically funded research should be accessible to all, so that benefits of participating can be fairly distributed. We explored whether recruitment of patients to health research is aligned with disease prevalence in England.

methodsWe measured disease prevalence using the Quality and Outcomes Framework in England (total long-term conditions, mental health and diabetes). We measured research activity using data from the NIHR Clinical Research Network. We presented descriptive data on geographical variation in recruitment rates. We explored associations between the recruitment rate and disease prevalence rate. We calculated the share of patient recruitment that would need to be redistributed to align recruitment with prevalence. We assessed whether associations between recruitment rate and disease prevalence varied between conditions, and over time.

resultsThere was significant geographical variation in recruitment rates. When areas were ranked by disease prevalence, recruitment was not aligned with prevalence, with disproportionately low recruitment in areas with higher prevalence of total long-term and mental health conditions. At the level of 15 local networks, analyses suggested that around 12% of current recruitment activity would need to be redistributed to align with disease prevalence. Overall, alignment showed little change over time, but there was variation in the trends over time in individual conditions.

conclusionsGeographical variations in recruitment do not reflect the suitability of the population for research. Indicators should be developed to assess the fit between research and need, and to allow assessment of interventions among funders, researchers and patients to encourage closer alignment between research activity and burden.

Indexed as

Patient SelectionBiomedical ResearchEnglandFemaleGeographyHistory, 21st CenturyHumansMaleMiddle AgedRisk FactorsSocioeconomic FactorsEquityRecruitmentResearch activity

Identifiers

PMID32418543
PMCPMC7232839

What OpenQuestion holds

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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.