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Record W39239446

Canada's Medicare Bubble: Is Government Health Spending Sustainable without User-Based Funding?

2011· article· en· W39239446 on OpenAlexaffabout
Mark C. Rovere, Brett J. Skinner

Bibliographic record

VenueSSRN Electronic Journal · 2011
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Care Issues
Canadian institutionsFraser Institute
Fundersnot available
KeywordsRevenuePopulationGovernment revenueGovernment (linguistics)BusinessTotal revenueEconomicsEconomic policyEconomic growthFinanceEnvironmental healthMedicine
DOInot available

Abstract

fetched live from OpenAlex

Canada's Medicare Bubble examines whether the public costs associated with Canada’s health system are economically sustainable. Total provincial health spending has grown at an average annual rate of 7.5% over the last ten years, compared to only 5.7% for total available provincial revenue (including federal transfers), and only 5.2% for GDP. Long-term trends are similar: government spending on health has grown faster on average than GDP since 1975. As of 2011, provincial health spending in Ontario and Quebec currently consumes more than 50% of total revenues. Projections show that in Saskatchewan, Alberta, British Columbia and New Brunswick government health spending is on pace to consume 50% of revenues by 2017. In Manitoba and Prince Edward Island health spending will reach 50% of total available revenues by 2028. When federal transfers are excluded, government health spending currently consumes between 48.0% (Alberta) and 87.7% (Nova Scotia) of total available provincial own-source revenues. Economic reality recommends liberal reforms. Federal funding is not a solution: the federal government has already transferred billions more in health funding to the provinces than the amounts needed to keep up with general price inflation or population growth. Transfers encourage the provinces to avoid making necessary reforms. Paying more is not a solution: taxes cannot rise indefinitely to chase expenditures. High and rising taxes discourage economic growth and reduce the long-term potential revenue base for governments. Getting less is not a solution: provincial governments have used the blunt policy approach of rationing to constrain public expenditures without allowing private funding to fill the insurance gaps. This has reduced the availability of necessary medical goods and services. We conclude that Canada’s health system produces rates of growth in health spending that are not sustainable solely through redistributive public financing. Supplementary user-based, private financing would off-load public cost pressures, encourage economic efficiency, and offer a sustainable source of additional resources.

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)0.003
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.903
Threshold uncertainty score0.707

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.006
Science and technology studies0.0070.005
Scholarly communication0.0110.007
Open science0.0010.002
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0120.001

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 head0.034
GPT teacher head0.363
Teacher spread0.330 · 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 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

Citations10
Published2011
Admission routes2
Has abstractyes

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