ArticleBMC health services research2025
Do I belong here? The lived experience of navigating health services as a Black person living with stroke in England.
Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
backgroundBlack people are twice as likely to experience stroke, more likely to have a stroke younger and have poorer outcomes than White people. Clinical factors and socio-economic status account for only half of the increased risk, suggesting systemic and structural factors are also involved. Lived experience of Black people living with stroke (BPLS) in England is under-researched. Candidacy Theory describes how people access health services, how perceptions of eligibility and suitability are socially constructed, and how this can perpetuate disadvantage. By applying Candidacy Theory to the findings of our qualitative study on the experiences of BPLS in accessing and navigating health services, we identified some key drivers of current inequalities and ways of addressing them.
methodsOur study aimed to gain greater understanding of how BPLS in England engage with and experience healthcare services. We applied Candidacy Theory to gain insight into experiences of and inequalities faced by this community and implications for service provision. 20 semi-structured interviews were conducted with adults living with stroke, identifying as African, Caribbean or of mixed heritage. Purposeful sampling included men and women with a broad range of ages and ethnicities, recruited via community and national organisation gatekeepers. Interviews were analysed using Reflexive Thematic Analysis and mapped onto the Candidacy Theory framework.
resultsFindings highlighted the plethora of barriers facing BLPS in accessing services, including lack of knowledge of stroke risk or symptoms, and not being believed or listened to by healthcare professionals. While navigating services, participants encountered misalignment with their cultural and age-specific needs. Offers of services were sometimes rejected due to distrust of medical treatment, stigma associated with mental health support, lack of representation, and previous negative experiences, such as microaggression, stereotyping and racism. Participants suggested that trust-building with healthcare professionals could be impeded by historic negative experiences, further exacerbated where there is poor awareness and communication.
conclusionsBPLS face particular disadvantages and barriers in reducing their stroke risk and accessing health services post-stroke. To address these, a holistic, systemic approach is needed, to develop inclusive and “culturally safe” services, build trust and improve accessibility of services.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.