Evidence map›Paper›PMID 39902888›Full record

ArticleANS. Advances in nursing science2025

Conducting Intersectional Analysis in Nursing Research.

Abe Oudshoorn, Fawziah Rabiah-Mohammed, Olayinka Ariba, Andrea Krywucky, Bridget Annor, Joseph Adu, Jean Pierre Ndayisenga, Danny Guerrero, Tracy-Ann Reid, Sarah May Lindsay

Abstract read
In one paragraph

Article in ANS. Advances in nursing science, 2025. 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

10 authors.

Abe OudshoornAuthor Affiliations: Arthur Labatt School of Nursing, Faculty of Health Science, Western University, London, Ontario, Canada (Dr Oudshoorn, Annor, Reid, Dr Ndayisenga, and Guerrero); Community Nursing & Healthcare, Nursing Collage, Umm Al-Qura University, Makkah, Saudi Arabia (Dr Rabiah-Mohammed); Health and Rehabilitation Sciences, Western University, London, Ontario, Canada (Ariba); Faculty of Information and Media Studies, Western University, London, Ontario, Canada (Ms Krywucky); Daphne Cockwell School of Nursing, Faculty of Community Services, Toronto Metropolitan University, Toronto, Ontario, Canada (Dr Adu); Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada (Dr Ndayisenga); School of Community and Health Studies, Centennial College Collaborative BScN Nursing Program, Scarborough, Ontario, Canada (Reid); and Sessional Faculty, Department of Sociology, Trent University, Peterborough, Ontario, Canada (Dr Lindsay).ORCID 0000-0003-0277-8724
Fawziah Rabiah-MohammedORCID 0000-0001-5079-6949
Joseph Adu
Jean Pierre Ndayisenga
Danny Guerrero
Tracy-Ann Reid
Sarah May LindsayORCID 0000-0002-1969-7456

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intersectionality allows nurses to be attuned to the many forms of social marginality present in society that ultimately impact upon health and well-being. However, while intersectionality is often named and well-defined in terms of the theoretical implications, less direction is provided regarding how these principles are actualized in various methodological approaches. This article presents our experiences as a large team of researchers working with a variety of marginalized populations in living out intersectionality in nursing research. We explore a variety of different methods and analysis approaches and how intersectionality is integrated in an authentic and meaningful way.

Identifiers

PMID39902888
PMCPMC12570605

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.