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Record W4396872786 · doi:10.1177/08404704241248559

Health system structure and its influence on outcomes: The Canadian experience

2024· review· en· W4396872786 on OpenAlexafffundabout
Braden Manns, Stephanie E. Hastings, Gregory P. Marchildon, Tom Noseworthy

Bibliographic record

VenueHealthcare Management Forum · 2024
Typereview
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsUniversity of TorontoUniversity of Calgary
FundersCanadian Institutes of Health Research
KeywordsRestructuringHealthcare deliveryHealth careCorporate governanceLimitingScale (ratio)Quality (philosophy)BusinessHealthcare systemAnalyticsDelivery systemHealth care deliveryMedicineData scienceComputer scienceGeographyEconomic growthFinanceEconomics

Abstract

fetched live from OpenAlex

Healthcare delivery systems in Canada are structured using three models: individual institutions, health regions, and single provincial systems, usually with smaller geographic zones. The comparative ability of these models to improve care, outcomes, and the Quadruple Aim is largely unstudied. We reviewed Canadian studies examining outcomes of provincial healthcare delivery system restructuring. Across models, results were inconsistent, and quality of evidence was low. For all provinces, primary care sits outside healthcare delivery systems, with limited governance and integration. The single provincial model can reduce costs of non-clinical support functions like finance, human resources, and analytics. This model may also be best at reducing variations in care, improving electronic information integration that enables clinical decision support and reporting, and supporting the provincial spread and scale of innovations, but further refinements are required and existing studies have major limitations, limiting definitive conclusions.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.887
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.001
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.001

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 head0.087
GPT teacher head0.470
Teacher spread0.383 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2024
Admission routes3
Has abstractyes

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