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Record W2530103572 · doi:10.1177/0840470416658907

Universal prescription drug coverage in Canada

2016· review· en· W2530103572 on OpenAlexaffabout
Steven G. Morgan, Katherine Boothe

Bibliographic record

VenueHealthcare Management Forum · 2016
Typereview
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsMcMaster UniversityUniversity of British Columbia
Fundersnot available
KeywordsMedical prescriptionIncentivePoliticsPublic administrationPublic policyPolitical scienceUniversal designBusinessPublic economicsMedicineEconomicsLawComputer scienceNursing

Abstract

fetched live from OpenAlex

Canada's universal public healthcare system is unique among developed countries insofar as it does not include universal coverage of prescription drugs. Universal, public coverage of prescription drugs has been recommended by major national commissions in Canada dating back to the 1960s. It has not, however, been implemented. In this article, we extend research on the failure of early proposals for universal drug coverage in Canada to explain failures of calls for reform over the past 20 years. We describe the confluence of barriers to reform stemming from Canadian policy institutions, ideas held by federal policy-makers, and electoral incentives for necessary reforms. Though universal "pharmacare" is once again on the policy agenda in Canada, arguably at higher levels of policy discourse than ever before, the frequently recommended option of universal, public coverage of prescription drugs remains unlikely to be implemented without political leadership necessary to overcome these policy barriers.

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 score0.059
Threshold uncertainty score0.283

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.008
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.047
GPT teacher head0.276
Teacher spread0.230 · 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

Citations54
Published2016
Admission routes2
Has abstractyes

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