Evidence map›Paper›PMID 42858015›Full record

ArticleThe Milbank quarterly2026

Health Inequalities, Intersectionality, and Justice.

Erika Blacksher

Abstract read
In one paragraph

Article in The Milbank quarterly, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Erika BlacksherUniversity of Kansas Medical Center.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Policy Points Population health science that uses large data sets to study health inequalities increasingly draws on intersectionality, the idea that overlapping forms of disadvantage shape health inequalities. This approach is essential to the pursuit of health equity because it provides a more complete and sound evidence base for population health policy. As this approach has gained traction, it has drifted from intersectionality's founding ideas about social power and justice. This Perspective develops a framework of justice for the field that consists of a multidimensional account of unjust power relations and an egalitarian standard to guide population health research and interventions. CONTEXT: Research that examines multiple forms of marginalization simultaneously, referred to herein as quantitative intersectional analysis, is an important trend in population health science. This approach can identify otherwise hidden health inequalities and a fuller array of social drivers, creating a more complete evidence base for intervention. The practice of quantitative intersectional analysis, however, has strayed from intersectionality's founding ideas about interconnecting power relations and social justice. Some researchers have called for the rebuilding of those connections.

methodsThis Perspective interprets and adapt key features of Nancy Fraser's critical theory with the aim of developing a framework of justice and illustrating its value as an ethical resource for quantitative intersectional analysis and population health policy.

findingsThe proposed framework is well suited to quantitative intersectional analysis in three respects. First, it's critical vantage point foregrounds precisely the kinds of power relations and social structures that are well-documented drivers of health inequalities, including maldistribution in economic relations, misrecognition in cultural relations, and misrepresentation in political relations. Second, the framework is adaptable and can be extended, as recommended here, to include care relations. Third, the framework articulates a positive standard of justice-participatory parity-that can be interpreted to provide both moral justification for the view that some health inequalities constitute health inequities and ethical guidance for population health policy.

conclusionsThe proposed framework of justice supports deep engagement with ideas about social power and justice in four ways. It expands the social categories and systems of inequality typically subject to analysis, enhances conceptual clarity and theorization about the nature of the harms under study, identifies health inequalities that merit investigation, and provides an ethical standard for population health policy that protects against the use of stigmatization as a policy tool and supports a broad and inclusive concept of health equity.

Indexed as

ethicshealth equityHealth inequalitieshealth inequitiesintersectionalityjusticepopulation healthsocial determinants

Identifiers

PMID42858015
PMCPMC13653415

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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.