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Record W4220658352 · doi:10.3390/curroncol29030166

Not All Canadian Cancer Patients Are Equal—Disparities in Public Cancer Drug Funding across Canada

2022· review· en· W4220658352 on OpenAlexaffvenueabout
Ceilidh MacPhail, Stephanie Snow

Bibliographic record

VenueCurrent Oncology · 2022
Typereview
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Financial Impacts of Cancer
Canadian institutionsDalhousie University
Fundersnot available
KeywordsFormularyMedicineCancer drugsPublic healthCancerFamily medicineDrugPharmacologyNursing

Abstract

fetched live from OpenAlex

Canada lacks a national drug insurance plan. The home province or territory of a patient determines which cancer drugs are available on the public formulary, who is eligible for public coverage and what portion of the financial burden of cancer care falls to the individual. This narrative review describes the current interprovincial disparities in access to cancer drugs across Canada. Health technology assessment (HTA) of drugs at a provincial and territory level is a closed process, does not necessarily follow the recommendations of national HTA and leads to further delays in drug access. The public coverage of take-home cancer drugs (THCDs) in Ontario and the Atlantic provinces is often fragmented, unnecessarily complex and a barrier to cancer drug access. Policy solutions to address inter-provincial formulary variation and poor access to THCDs are discussed.

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)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.968
Threshold uncertainty score0.230

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.008
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.356
GPT teacher head0.409
Teacher spread0.053 · 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 designNot applicable
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

Citations23
Published2022
Admission routes3
Has abstractyes

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