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Record W2010682868 · doi:10.3138/ijcs.47.41

Aging, Access, and the Costs of Health Care: Should Canada Query the QALY?

2013· article· en· W2010682868 on OpenAlexvenueaboutno aff
Keith Syrett

Bibliographic record

VenueInternational Journal of Canadian Studies · 2013
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsnot available
Fundersnot available
KeywordsAllocative efficiencyExcellenceScope (computer science)Principle of legalityLegitimacyHealth carePolitical scienceHuman rightsLaw and economicsPublic economicsActuarial scienceMedicineLawSociologyEconomics

Abstract

fetched live from OpenAlex

Abstract: This article explores the legality of age-related allocative decision making in health care in relation to international and domestic standards of human rights law. Drawing on source materials, scenarios, and case law from the UK and New Zealand in addition to Canada, it focuses in particular on the use of the Quality Adjusted Life Year (QALY) metric—the gold standard for evaluation of the cost effectiveness of health technologies—by institutions and processes such as the National Institute for Health and Care Excellence (UK) and the Common Drug Review (Canada), which play key roles in establishing the scope of health system coverage. The article argues that the QALY offends principles of ethics and human rights because of its tendency toward ageism. Decision making that rests on the application of such a measure can accordingly be regarded as lacking in legitimacy, both morally and legally.

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)0.018
metaresearch head score (Gemma)0.127
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.949
Threshold uncertainty score0.372

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.127
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.005
Science and technology studies0.0040.009
Scholarly communication0.0070.005
Open science0.0020.003
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0060.000

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 head0.361
GPT teacher head0.457
Teacher spread0.096 · 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

Citations0
Published2013
Admission routes2
Has abstractyes

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