Evidence map›Paper›PMID 41549066›Full record

ArticleHealth policy and planning2026

Justice at the interface: advancing community and health system resilience through intersectionality theory.

Jen Roux, Neelke Doorn, Saba Hinrichs-Krapels, Samantha Copeland

Abstract read
In one paragraph

Article in Health policy and planning, 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.

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

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

4 authors.

Jen RouxFaculty of Technology, Policy and Management, Delft University of Technology, Jaffalaan 5, Delft 2628 BX, The Netherlands.ORCID 0009-0003-4857-5559
Neelke DoornFaculty of Technology, Policy and Management, Delft University of Technology, Jaffalaan 5, Delft 2628 BX, The Netherlands.ORCID 0000-0002-1090-579X
Saba Hinrichs-KrapelsFaculty of Technology, Policy and Management, Delft University of Technology, Jaffalaan 5, Delft 2628 BX, The Netherlands.ORCID 0000-0001-9043-8847
Samantha CopelandFaculty of Technology, Policy and Management, Delft University of Technology, Jaffalaan 5, Delft 2628 BX, The Netherlands.ORCID 0000-0002-6946-7165

Funding

Delft University of Technology
6 · The paper itself

Abstract

Current approaches to health system resilience tend to prioritize system-level outcomes (e.g. functionality) while overlooking key underlying social processes, contexts, and power-laden interactions through which resilience is produced. When community resilience is subsumed under health system resilience, without attending to distinct contextual factors, it can lead to fragmented approaches or maladaptive outcomes that misalign with the resilience of communities. Therefore, resilience approaches need to include additional methods that incorporate analyses of power structures and context. We propose intersectionality theory as a methodological lens to investigate the underlying social processes and power dynamics that shape community resilience and health system resilience interactions. An intersectionality approach prompts researchers to distinguish how resilience capacity is derived through the involvement of community actors, their unique intersecting social identities, and their lived experiences. Including an intersectional lens in resilience approaches provides researchers with the tools to identify points of practical constraints that arise at the intersection of communities and health systems, with particular attention on the burdens that are placed on community actors.

Indexed as

Delivery of Health CareResilience, PsychologicalSocial JusticeHumanscommunityhealth system resiliencesocial justice

Identifiers

PMID41549066
PMCPMC12972655

What OpenQuestion holds

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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.