MétaCan
Menu
Back to cohort
Record W2982519448 · doi:10.15171/ijhpm.2019.93

Universal Pharmacare in Canada: A Prescription for Equity in Healthcare

2019· editorial· en· W2982519448 on OpenAlexaffabout
Mohammad Hajizadeh, Sterling Edmonds

Bibliographic record

VenueInternational Journal of Health Policy and Management · 2019
Typeeditorial
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsDalhousie University
Fundersnot available
KeywordsScrutinyEquity (law)Medical prescriptionHealth careBusinessInequalityPrescription drugPopulationEconomic growthPublic healthPublic economicsMedicinePolitical scienceEnvironmental healthEconomicsLawPharmacology

Abstract

fetched live from OpenAlex

Despite progressive universal drug coverage and pharmaceutical policies found in other countries, Canada remains the only developed nation with a publicly funded healthcare system that does not include universal coverage for prescription drugs. In the absence of a national pharmacare plan, a province may choose to cover a specific sub-population for certain drugs. Although different provinces have individually attempted to extend coverage to certain subpopulations within their jurisdictions, out-of-pocket expenses on drugs and pharmaceutical products (OPEDP) accounts for a large proportion of out-of-pocket health expenses (OPHE) that are catastrophic in nature. Pharmaceutical drug coverage is a major source of public scrutiny among politicians and policy-makers in Canada. In this editorial, we focus on social inequalities in the burden of OPEDP in Canada. Prescription drugs are inconsistently covered under patchworks of public insurance coverage, and this inconsistency represents a major source of inequity of healthcare financing. Residents of certain provinces, rural households and Canadians from poorer households are more likely to be affected by this inequity and suffer disproportionately higher proportions of catastrophic out-of-pocket expenses on drugs and pharmaceutical products (COPEDP). Universal pharmacare would reduce COPEDP and promote a more equitable healthcare system in Canada.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.390
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.085
GPT teacher head0.406
Teacher spread0.321 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEditorial

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

Citations31
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueInternational Journal of Health Policy and ManagementSame topicHealthcare Policy and ManagementFrench-language works237,207