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Record W4407947769 · doi:10.5737/236880763513

Cancer-related care for rural and remote populations in Canada: A scoping review

2025· review· en· W4407947769 on OpenAlexaffvenueabout
Jacqueline Galica, Agnès Alsius, Sania Sahi, Jessica Holmes, Hanna Kerr, Kirsten Bildfell, Laura Patton, Claudia Sinasac, Amanda Ross‐White, Joanne Crawford

Bibliographic record

VenueCanadian Oncology Nursing Journal · 2025
Typereview
Languageen
FieldMedicine
TopicGlobal Cancer Incidence and Screening
Canadian institutionsBrock UniversityDepartment of National DefenceVancouver Island UniversityKingston Health Sciences CentreQueen's University
Fundersnot available
KeywordsHealth careRural areaMedicineRural healthMedical diagnosisGeographyColorectal cancerCancerService (business)Family medicineEnvironmental healthBusinessPolitical sciencePathology

Abstract

fetched live from OpenAlex

Background: Synthesizing unique barriers to cancer-related care among rural and remote populations would be useful to inform future research and health service priorities. To fill this gap, the overall goal of this review is to synthesize the cancer literature about those living in rural and remote locations in Canada. Methods: Using JBI scoping review methods, we extracted the following: definition of rural or remote; phase of cancer care continuum (screening, diagnosis, treatment/care, post-treatment, outcomes); province( s) and/or territory(ies) of the sample; and cancer diagnosis(es). Results: Within the 45 studies, definitions of rural and remote varied widely. The treatment/care phase was most often reflected (n = 18) followed by screening (n = 12). All provinces were represented and data from the Yukon Territory was lacking. Breast and colorectal cancer diagnoses were most common (n = 20 and n = 18, respectively) and most studies (n = 31) used quantitative designs. Conclusion: Review results illuminate the state of cancer-related research of rural and remote populations across Canada and highlight implications for further examination.

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)0.009
metaresearch head score (Gemma)0.040
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.126
Threshold uncertainty score0.353

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.040
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0140.030
Science and technology studies0.0030.002
Scholarly communication0.0050.002
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.144
GPT teacher head0.475
Teacher spread0.331 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations3
Published2025
Admission routes3
Has abstractyes

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Same venueCanadian Oncology Nursing JournalSame topicGlobal Cancer Incidence and ScreeningFrench-language works237,207