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Record W2546861190 · doi:10.1177/0951484816673668

The Canadian healthcare system: It needs enhancement

2016· article· en· W2546861190 on OpenAlexaboutno aff
Thomas P. Weil

Bibliographic record

VenueHealth Services Management Research · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMandateIncentiveHealth careBusinessFiscal yearFinanceActuarial scienceMedicineEconomic growthEconomicsPolitical science

Abstract

fetched live from OpenAlex

Although Canadian healthcare is commonly referred to as a single-payer system providing universal coverage for only hospital and physician benefits, it is argued herein that their plan actually functions as a multi-payer model; and, it provides a far lesser breadth of coverage than available among most western European countries. Of concern is that in addition to their mandated plan, only 60% of their residents are covered by private insurance for pharmaceuticals, dental care, and eye services most often paid for as a fringe benefit by their employers. In addition, based on their medical loss ratios (74% for group coverage; 38% for individual insurance), these investor-owned, private insurance plans cannot be considered as an effective approach to protect the public against these medical expenditures. An obvious solution is to mandate these benefits as enhancements to the Canada Health Act of 1985, but this alternative is currently thought to be unrealistic for both political and economic reasons. Major issues now facing the Canadian healthcare system, in terms of its routine delivery of patient care, are not the single- versus multi-payer question or the inefficiencies of their supplementary insurance, but (a) the extended patient waits for non-emergent surgical services; (b) the lack of appropriate fiscal incentives when reimbursing their hospitals; and (c) their resident physicians currently completing approved programs in general surgery and the surgical sub-specialties frequently being unable to secure appropriate medical staff appointments. Maybe the Canadian healthcare system, although providing universal hospital and physician services, is not as idyllic as perceived by many throughout the world.

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)0.008
metaresearch head score (Gemma)0.024
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.089
Threshold uncertainty score0.648

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.024
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0110.006
Scholarly communication0.0110.006
Open science0.0030.004
Research integrity0.0110.005
Insufficient payload (model declined to judge)0.0330.004

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 head0.120
GPT teacher head0.369
Teacher spread0.249 · 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
GenreCommentary

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

Citations2
Published2016
Admission routes1
Has abstractyes

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