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Record W2388301606 · doi:10.12927/hcpol.2016.24593

A Decade Lost: Primary Healthcare Performance Reporting across Canada under the Action Plan for Health System Renewal

2016· article· en· W2388301606 on OpenAlexvenueaboutno aff
Sharon Johnston, Matthew Hogel

Bibliographic record

VenueHealthcare policy · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsnot available
Fundersnot available
KeywordsAction planPlan (archaeology)Action (physics)Primary careHealth carePrimary health careHealthcare systemHealth planBusinessPolitical scienceMedicineOperations managementHistoryFamily medicineManagementEngineeringEconomicsLaw

Abstract

fetched live from OpenAlex

In 2004, Canada's First Ministers committed to reforms that would shape the future of the Canadian healthcare landscape. These agreements included commitments to improved performance reporting within the primary healthcare system. The aim of this paper was to review the state of primary healthcare performance reporting after the public reporting mandate agreed to a decade ago in the Action Plan for Health System Renewal of 2003 expired. A grey literature search was performed to identify reports released by the governmental and independent reporting bodies across Canada. No province, or the federal government, met their performance reporting obligations from the 2004 accords. Although the indicators required to report on in the 2004 Accord no longer reflect the priorities of patients, policy makers and physicians, provinces are also failing to report on these priorities. Canada needs better primary healthcare performance reporting to enable accountability and improvement within and across provinces. Despite the national mandate to improve public health system reporting, an opportunity to learn from the diverse primary healthcare reforms, underway across Canada for the past decade, has already been lost.

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)0.003
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.830
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.137
GPT teacher head0.356
Teacher spread0.220 · 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
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

Citations11
Published2016
Admission routes2
Has abstractyes

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