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Record W2066578446 · doi:10.1186/1472-6963-9-s1-a12

Evaluation of the case mix and equity of age-sex adjusted primary care capitation payment models in Ontario, Canada

2009· article· en· W2066578446 on OpenAlexaffabout
Lyn M. Sibley, Richard H. Glazier

Bibliographic record

VenueBMC Health Services Research · 2009
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsInstitute for Clinical Evaluative SciencesUniversity of TorontoSt. Michael's HospitalUniversity Health Network
Fundersnot available
KeywordsCapitationMedicineRemunerationEquity (law)Socioeconomic statusHealth administrationFamily medicineHealth careIncentiveNursing researchPrimary carePublic healthPaymentEnvironmental healthNursingFinanceBusinessPopulation

Abstract

fetched live from OpenAlex

Several innovative models for primary care delivery have recently been introduced in Ontario, Canada. These group-practice models share common characteristics of patient rostering, age-sex based capitation rates, and performance-based incentives. These models have been adopted because of their potential strengths to reduce the overall cost of care, improve effective medical care management, and increase the use of appropriate preventative-care measures. There is concern, however, that age-sex adjusted capitation rates alone do not take into account variations in the morbidity burden and the healthcare needs that are associated with socioeconomic status.

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)0.017
metaresearch head score (Gemma)0.044
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.885
Threshold uncertainty score0.831

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.044
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0030.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.231
GPT teacher head0.405
Teacher spread0.174 · 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

Citations13
Published2009
Admission routes2
Has abstractyes

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