Evidence map›Paper›PMID 40678188›Full record

ArticlePublic health in practice (Oxford, England)2025

Socio-economic health inequalities through the lens of social justice theory, an innovative perspective.

Jantien van Berkel, Michèlle Bal

Abstract read
In one paragraph

Article in Public health in practice (Oxford, England), 2025. 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.

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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

2 authors.

Jantien van BerkelUtrecht University, Faculty of Social and Behavioral Sciences, Department of Interdisciplinary Social Science, Chair Group Public Health, P.O. box 80140, 3508 TC, Utrecht, the Netherlands.
Michèlle BalUtrecht University, Faculty of Social and Behavioral Sciences, Department of Interdisciplinary Social Science, Chair Group Public Health, P.O. box 80140, 3508 TC, Utrecht, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Socioeconomic health inequalities, characterized by avoidable, systematic, and unfair differences in health between social groups based on socioeconomic disparities, persist in Western countries despite extensive efforts. This situation prompts a critical examination of current public health interventions. While individual-focused approaches emphasize behavioral strategies to address avoidable factors, and systems approaches target systematic causes, there remains a significant gap in addressing one crucial aspect of health inequalities: their inherent unfairness. Study design: In this contribution, we conduct a theoretical exemplification. Methods: Distributive, procedural, and recognitive justice theory has been employed as critical lens to analyze public health interventions and policies. Results: Distributive justice focuses on the fairness of outcomes and is recognizable in the (re)distribution of resources such as food aid. However, if redistribution comes with stigma attached, it still fails to address fairness in full, which can hamper uptake. Procedural justice focuses on the fairness of the process leading up to certain outcomes. Stakeholder engagement in policy development is an example, but avoiding tokenism is key for truly reducing unfairness. Finally, recognitive justice emphasizes recognition, human dignity and equal social participation. It might be most elusive to 'catch' in policy but is also most crucial to address unfairness completely. Conclusions: Integrating social justice theory into public health strategies promotes fairness and contributes to of the reduction of health inequalities.

Indexed as

Health inequalitiesHealth promotionInequalities

Identifiers

PMID40678188
PMCPMC12270640

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LicenceCC BY
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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.