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Record W1999243698 · doi:10.12927/hcpol.2011.22527

Diagnosing Senescence: Contributions to Physician Expenditure Increases in British Columbia, 1996/97 to 2005/06

2011· article· en· W1999243698 on OpenAlexvenueaboutno aff
Kimberlyn McGrail, Robert G. Evans, Kerry Kerluke, Rachael McKendry

Bibliographic record

VenueHealthcare policy · 2011
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsnot available
Fundersnot available
KeywordsPer capitaEconomic shortageMedicinePaymentDemographyHealth careHealth servicesPopulationGerontologyService (business)BusinessEconomicsEnvironmental healthFinanceEconomic growthGovernment (linguistics)

Abstract

fetched live from OpenAlex

Conventional wisdom holds that Canada suffers from a physician shortage, yet expenditures for physicians' services continue to increase rapidly. We address this apparent paradox, analyzing fee-for-service payments to physicians in British Columbia in 1996/97 and 2005/06. Age-specific per capita expenditures (adjusted for fee changes) rose 1% per year over this period, adding $174 million to 2005/06 expenditures. We partition these increases into changes in the proportion of the population seeing a physician; the number of unique physicians seen; the number of visits per physician; and the average expenditure per visit. Expenditures on laboratory and imaging services, particularly for the elderly and very elderly, have increased dramatically. By contrast, primary care services for the non-elderly appear to have declined. The causes and health consequences of these large changes deserve serious attention.

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)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.971
Threshold uncertainty score0.212

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0010.001
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.051
GPT teacher head0.309
Teacher spread0.258 · 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 designObservational
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

Citations20
Published2011
Admission routes2
Has abstractyes

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