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Record W4411410902 · doi:10.1186/s12939-025-02554-8

“There’s just such a mismatch”: a qualitative exploration of health systems and organizational-level barriers to accessing cancer services among people experiencing structural marginalization

2025· article· en· W4411410902 on OpenAlexafffundabout
Tara C. Horrill, Jess Crawford, Scott M. Beck, Amber Bourgeois, Jagbir Kaur, Leah K. Lambert, Michael McKenzie, Kelli Stajduhar, Annette J. Browne

Bibliographic record

VenueInternational Journal for Equity in Health · 2025
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsUniversity of British ColumbiaBC Cancer AgencyUniversity of VictoriaUniversity of Manitoba
FundersOncology Nursing FoundationUniversity of Manitoba
KeywordsHealth equityHealth careHealth services researchSocial policyQualitative researchSocial determinants of healthEquity (law)Public relationsHealth policyParticipatory action researchSociologyPsychologyNursingMedicinePublic healthPolitical scienceSocial science

Abstract

fetched live from OpenAlex

BACKGROUND: Within the context of cancer care, access to timely, high-quality care is closely correlated with better health outcomes and quality of life. Yet in Canada, research continues to show that inequities in access to cancer care persist across the cancer continuum, particularly among people experiencing structural marginalization. Although some Canadian research has explored barriers accessing cancer care, little research has explicitly focused on barriers arising from organizational and health systems contexts. Our objective was to explore barriers to accessing cancer services within the health system and organizations delivering cancer services across the cancer continuum for people experiencing structural marginalization. METHODS: This study drew on critical ethnographic methods, employing a participatory, integrated knowledge translation approach. Data collection included interviews with health and social service providers (n = 24) and key informants (n = 7), interviews and focus groups with individuals with lived experience of significant health and social inequities (n = 29), and 40 h of observations with service providers working in clinical oncology settings. Guided by social justice, critical and intersectional theoretical perspectives, data analysis followed an interpretive descriptive approach. RESULTS: Four interrelated themes were developed through our analysis, with the overarching thread of a 'mismatch evident throughout: (1) the design of cancer services does not always account for social contexts and structural determinants of health; (2) discourses of operational efficiency are competing with equity-oriented care; (3) the physical spaces of cancer care matter; and (4) experiences of stigma and discrimination are incompatible with accessing cancer care. Our findings suggest that the ways in which cancer services across the continuum are designed, including the types of services available, how care activities are structured, what activities take priority, and how services are experienced, create barriers that particularly impact people experiencing structural marginalization. CONCLUSIONS: Our findings highlight the mismatches between how cancer services are currently designed and delivered, and the specific needs of people experiencing health and social inequities. These findings also point to organizations delivering cancer services as potential sites for transformation toward more equitable access to cancer care. Equity-oriented healthcare may offer a framework for service design and delivery to improve access to cancer care and experiences of care.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.019
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0160.019
Scholarly communication0.0060.006
Open science0.0030.009
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.126
GPT teacher head0.505
Teacher spread0.379 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2025
Admission routes3
Has abstractyes

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