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Record W257716191

Provision of Health Policy in Canada: Challenges and Opportunities

2009· article· es· W257716191 on OpenAlexaboutno aff
Rosa Rodríguez-Monguió, Enrique Seoane‐Vazquez, Fernando Antoñanzas

Bibliographic record

VenueScholarWorks@UMassAmherst (University of Massachusetts Amherst) · 2009
Typearticle
Languagees
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessEnvironmental planningPolitical scienceGeography
DOInot available

Abstract

fetched live from OpenAlex

The Canadian health care system provides comprehensive coverage of hospital and outpatient care, including therapeutic, diagnostic and preventive services. The level of coverage of services varies across the country. This study examines the key characteristics of the Canadian health and long-term care systems; presents a structured analysis of the insurance, financing and provision of health and long-term care services in Canada; describes the main challenges of the Canadian health and long-term care systems; and concludes with feasible opportunities for the Canadian health policy. Main challenges to the Canadian system are related to population ageing; prevalence of avoidable diseases caused by poor health habits; coverage and financing of long-term care services; financing of expensive new technologies and pharmaceuticals; and the shortage and unbalanced geographic distribution of health care professionals. Opportunities for the Canadian health policy are: strengthening public health policy, continuing shifting care to the ambulatory level; improving the coordination between primary care and specialist services; implementing a system-wide national human resources planning; and integrating home-based care as part of overall primary health care.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.685
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.075
GPT teacher head0.247
Teacher spread0.172 · 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 teacher head, not a consensus.

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

Citations0
Published2009
Admission routes1
Has abstractyes

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