Evidence map›Paper›PMID 42463963›Full record

ArticleBritish journal of cancer2026

Black women's decisions about participating in breast cancer screening in the UK: a qualitative study.

Anietie E Aliu, Robert Stephen Kerrison, Afrodita Marcu

Abstract read
In one paragraph

Article in British journal of cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Anietie E AliuSchool of Health Sciences, University of Surrey, Surrey, UK. a.aliu@surrey.ac.uk.ORCID http://orcid.org/0000-0002-2848-6976
Robert Stephen KerrisonSchool of Health Sciences, University of Surrey, Surrey, UK.ORCID http://orcid.org/0000-0002-8900-749X
Afrodita MarcuSchool of Health Sciences, University of Surrey, Surrey, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the UK, women of Black African and Black Caribbean descent ('Black women') participate in breast screening at lower rates than White women, contributing to inequalities in breast cancer outcomes. This study explored Black women's decision about participating in breast cancer screening.

methodsSeven focus groups were conducted with 47 women eligible for breast screening; 30 reported consistent participation, while 17 had never or inconsistently participated. Data were analysed using Reflexive Thematic Analysis and interpreted through the Capability, Opportunity, Motivation-Behaviour (COM-B) model. Findings were mapped onto the Behaviour Change Wheel (BCW) to identify potential intervention functions.

resultsFive themes describing Black women's decisions to participate in breast screening were developed: knowledge and awareness (psychological capability); emotional and motivational responses (reflective and automatic motivation); social influences and peer engagement (social opportunity); competing priorities (psychological capability and physical opportunity); and healthcare and access barriers (physical opportunity). A sixth theme captured participants' suggestions for improving screening services.

conclusionApplying the Behaviour Change Wheel (BCW) identified relevant intervention functions and policy approaches, suggesting that community-driven and culturally inclusive strategies may enhance breast screening participation among Black women.

Indexed as

Black PeopleBreast NeoplasmsDecision MakingEarly Detection of CancerAdultAfricaAgedCaribbean RegionFemaleFocus GroupsHealth Knowledge, Attitudes, PracticeHumansMiddle AgedMotivationQualitative ResearchUnited Kingdom

Identifiers

PMID42463963
PMCPMC13642912

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.