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Record W4319315048 · doi:10.1186/s40545-023-00526-3

Public–private partnership alternative for a national pharmacare program in Canada

2023· article· en· W4319315048 on OpenAlexaffabout
Emre Yurga

Bibliographic record

VenueJournal of Pharmaceutical Policy and Practice · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsInstitute for Work & HealthUniversity of TorontoToronto Public Health
Fundersnot available
KeywordsGeneral partnershipPrivate sectorGovernment (linguistics)BusinessPublic–private partnershipVariety (cybernetics)SustainabilityPublic economicsPublic relationsMarketingEconomicsFinanceEconomic growthComputer sciencePolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Recently, the government and an opposition party cut a deal that involved a promise to consider implementing a single-payer pharmacare scheme in Canada in exchange for supporting the current minority government. There have been political headwinds from the private extended health insurance industry, the provinces of Ontario and Quebec, as well as the pharmaceutical industry. We suggest a new multiple-payer of mixed-resort framework that achieves both the goal of universal coverage and preserves the private extended health insurance industry through a scheme based on the current coordination of benefits between private payers in this sector. METHODS: We employ game theory to better understand the dynamics within a market that involves multiple payers. In particular, we use the game of Collective Action to help illustrate the problems of free-ridership. RESULTS: An analysis of the dynamics of this market suggests that ex-ante agreements need to be struck between all payers in a multi-payer marketplace to achieve both stability and sustainability of such a framework. CONCLUSION: We show that universal coverage is still possible while leveraging the existing system of private extended health insurance so long as a well-established system for coordinating benefits between public and private payers is established. A stable public/private partnership can achieve universal coverage so long as a system for coordinating benefits is instituted. The proposed alternative will achieve the same goals, but maintain a niche for the private sector thereby maintaining therapeutic variety in the marketplace.

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)0.003
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.940
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.427
GPT teacher head0.483
Teacher spread0.057 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations0
Published2023
Admission routes2
Has abstractyes

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