Evidence map›Paper›PMID 32971486›Full record

ArticleSocial science & medicine (1982)2020

An atlas of health inequalities and health disparities research: "How is this all getting done in silos, and why?"

Taya A Collyer, Katherine E Smith

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Towards Establishing Shared Terminology for Person-Centred Care: A Modified Delphi Study With Consumers and Health Professionals.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  4. Article
  5. Article
  6. Review
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  8. Article
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  11. Developing a European framework for the prevention of communicable diseases: three points for attention.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2024
    Article
  12. Article
  13. Article
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  15. Review
  16. Article
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  18. Review
  19. Social Differences in Health Behaviours among Jordanian Adolescents.European journal of investigation in health, psychology and education · 2022
    Article
  20. Neighbourhood Socioeconomic Processes and Dynamics and Healthy Ageing: A Scoping Review.International journal of environmental research and public health · 2022
    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

2 authors.

Taya A CollyerUniversity of Edinburgh, School of Social and Political Science, 15a George Square, Edinburgh, EH8 9LD, United Kingdom; Monash University, Peninsula Clinical School, 2 Hastings Rd, Frankston, Victoria, Australia. Electronic address: taya.collyer@monash.edu.
Katherine E SmithUniversity of Strathclyde, School of Social Work and Social Policy, Lord Hope Building 141 St James Road, Glasgow, G4 0LT, UK. Electronic address: katherine.smith.100@strath.ac.uk.

Funding

Medical Research Council MR/S037578/1Medical Research Council MR/S037578/2
6 · The paper itself

Abstract

Research on health inequalities and health disparities has grown exponentially since the 1960s, but this expansion has not been matched by an associated sense of progress. Criticisms include claims that too much research addresses well-trodden questions and that the field has failed to gain public and policy traction. Qualitative studies have found researchers partly attribute these challenges to fragmentation resulting from disciplinary and methodological differences. Yet, empirical investigation ('research on research') is limited. This study addresses this gap, employing mixed-methods to examine, at scale, how and why this field is defined by insular research clusters. First, bibliometric analysis identifies and visualizes the 250 most-connected authors. Next, an algorithm was used to identify clustering via citation links between authors. We used researcher profiling to ascertain authors' geographical and institutional locations and disciplinary training, examining how this mapped onto clusters. Finally, causes of siloing were investigated via semi-structured interviews with 45 researchers. The resulting 'atlas' of health inequalities and health disparities research identifies eight clusters of authors with varying degrees of connectedness. No single factor neatly describes observed fragmentation, health equity scholars exhibit a diverse disciplinary backgrounds, and geographical, institutional, and historical factors appear to intersect to explain siloed citation patterns. While the configuration of research activity within clusters potentially helps render questions scientifically manageable, it affirms perceptions of the field as fragmented. We draw on Thomas Kuhn and Sheila Jasanoff to position results within theoretical pictures of scientific progress. Newcomers to the field can use our findings to orient themselves within the many streams of health equity scholarship, and existing health equity scholars can use the atlas to move beyond existing geo-disciplinary networks. However, although stronger cross-cluster engagement would be likely to improve insights, the complex nexus of factors underlying the field's structure will likely make this challenging in practice.

Indexed as

Health EquityHealth Status DisparitiesBibliometricsHumansQualitative ResearchResearch PersonnelBibliometric analysisDisciplinesHealth disparitiesHealth equityHealth inequalitiesInterviewsScientific paradigmsSociology of science

Identifiers

PMID32971486
PMCPMC7449896

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.