Evidence map›Paper›PMID 40565435›Full record

ReviewHealthcare (Basel, Switzerland)2025

Variations in Methodological Approaches to Measuring Health Inequalities and Inequities: A Scoping Review of Acute Stroke Pathways.

Stephen McCarthy, Peter McMeekin, Michael Allen, Martin James, Anna Laws, Andrew McCarthy, Graham McClelland, Lisa Moseley, Laura Park, Daniel Phillips and 6 more

Abstract readReview
In one paragraph

Review in Healthcare (Basel, Switzerland), 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

16 authors.

Stephen McCarthyFaculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne NE1 8ST, UK.
Peter McMeekinFaculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne NE1 8ST, UK.ORCID 0000-0003-0946-7224
Michael AllenMedical School, University of Exeter, Exeter EX1 2LU, UK.
Martin JamesMedical School, University of Exeter, Exeter EX1 2LU, UK.
Anna LawsMedical School, University of Exeter, Exeter EX1 2LU, UK.ORCID 0000-0002-2145-0487
Andrew McCarthyFaculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne NE1 8ST, UK.
Graham McClellandFaculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne NE1 8ST, UK.
Lisa MoseleyFaculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne NE1 8ST, UK.
Laura ParkFaculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne NE1 8ST, UK.
Daniel PhillipsEast of England Ambulance Service NHS Foundation Trust, Cambridgeshire SG8 6EN, UK.
Christopher PriceStroke Research Group, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne NE3 3LZ, UK.
Jason ScottFaculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne NE1 8ST, UK.
Lisa ShawStroke Research Group, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne NE3 3LZ, UK.
Phil WhiteStroke Research Group, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne NE3 3LZ, UK.ORCID 0000-0001-6007-6013
David WilsonStroke Service User Voice Group, Newcastle upon Tyne, UK.
Gary A FordOxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, UK.

Funding

National Institute for Health Research NIHR153982
6 · The paper itself

Abstract

backgroundThere are a lot of advances that may affect the way treatment is delivered prehospital, including mobile stroke units and point-of-care diagnostics. These have the potential to affect populations differently and therefore affect the distribution of health outcomes.

objectivesWe aimed to address the following research questions: (1) Which geographic and socioeconomic inequalities have been included when evaluating access to acute stroke treatment (including reperfusion therapies)? (2) How have the identified measures been considered/assessed/calculated? (3) We also report any methodological approaches that have been proposed that might further improve the way in which acute stroke care interventions are analysed, specified relating to inequalities.

methodsPubMed and Scopus electronic databases were searched for studies that included participants who underwent acute stroke treatment and included quantitative measures of geographic and/or socioeconomic inequalities or inequities in accessing/receiving treatment.

resultsOverall, sixty-six studies were included in the review. Fifty-nine included at least one measure of geographic inequalities or inequities while thirty-six included at least one measure of socioeconomic inequalities or inequities. Twenty-eight of these studies included both a geographic and socioeconomic measure of inequalities or inequities. There were no commonalities in the methods of defining, categorising and measuring the inequalities or inequities. No study provided their definition of inequality or inequity or stated any normative judgements they had made.

conclusionsIt is vital that the evaluation of programmes like acute stroke care consider impacts on inequality and inequity. Researchers and policy makers should work together to determine relevant measures of inequality/inequity and the most appropriate methods of measuring and categorising them. In addition, researchers should make it clear within their work how they are defining inequality and inequity and what (if any) normative judgements have been made.

Indexed as

health inequalityprehospitalstroke

Identifiers

PMID40565435
PMCPMC12193182

What OpenQuestion holds

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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.