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Record W2979447681 · doi:10.13162/hro-ors.v7i4.3886

Improving Access to Family Medicine in Quebec through Quotas and Numerical Targets

2019· article· en· W2979447681 on OpenAlexaffvenueabout
Ga Eun Lee, Amélie Quesnel‐Vallée

Bibliographic record

VenueHealth Reform Observer - Observatoire des Réformes de Santé · 2019
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsMcGill UniversityMcGill-Queen's University Press
Fundersnot available
KeywordsLegislatureNegotiationHealth carePolitical scienceFamily medicineLawMedicinePublic administration

Abstract

fetched live from OpenAlex

Despite various health reforms over the last 20 years, access to primary care remained stagnant in Qubec, and in 2014 the province had the highest proportion of residents in Canada without a family physician. In November 2014, the Qubec Minister of Health and Social Services introduced Bill 20, An Act to promote access to family medicine and specialized medicine services and to amend various legislative provisions relating to assisted procreation. Bill 20 aimed to increase access to family medicine through a system of quotas of registered patients and penalties for family physicians. Health system user support groups and the governmental advisory group on women's rights supported Bill 20's approach to ensure the rights of system users to access family physicians. However, the union of general practitioners was strongly against the bill due to the clash between the minister's reliance on numbers and the realities of family practice. The union of general practitioners entered negotiations with the minister and while Bill 20 was legalized in 2015, it was agreed that family physicians would be excused from the bill as long as they reached two targets at the end of December 2017: 1) 85% of Qubecers must have a family doctor and 2) family doctors must ensure the patients registered to them see them, and not other doctors, 80% of the time. The targets were not met at the end of December 2017 but the quota system in Bill 20 has yet to be implemented.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.336
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0010.001
Research integrity0.0010.002
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 head0.089
GPT teacher head0.427
Teacher spread0.338 · 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

Citations6
Published2019
Admission routes3
Has abstractyes

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