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Record W2273181998

[Are new forms of primary health care organization (PHLU) associated with a better health care experience for patients with chronic diseases in Quebec?].

2015· article· en· W2273181998 on OpenAlexaboutno aff
Raynald Pineault, Da Silva Rb, Sylvie Provost, Michel Fournier, Alexandre Prud’homme

Bibliographic record

VenuePubMed · 2015
Typearticle
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsFamily medicineMedicineChronic careChronic diseasePrimary careHealth careNursing
DOInot available

Abstract

fetched live from OpenAlex

AIM: To assess the extent to which new forms of PHC organization - Family medicine groups (FMG) and Network clinics (NC) - established in Quebec since 2003, are associated with a better experience of care than other forms of PHC organization, for patients with chronic diseases. METHODS: Two surveys were conducted in 2010 in two regions of Quebec: the first among 9,180 residents and the second among 606 PHC organizations. Indices of experience of care were constructed concerning accessibility, continuity, comprehensiveness and perceived outcomes. Five categories of chronic diseases were selected. Descriptive analyses and multilevel regression analyses were conducted to compare the different forms of PHC organization. RESULTS: Individuals with chronic diseases tend to report a better experience of care than those without chronic diseases for all dimensions except for accessibility. FMGs compare to group practices on all dimensions and NCs are associated with a poorer experience of care on most dimensions. CONCLUSION: Experience of care associated with FMGs and NCs is not superior to that associated with group practices.

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)0.001
metaresearch head score (Gemma)0.004
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.136
Threshold uncertainty score0.273

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.014
GPT teacher head0.232
Teacher spread0.218 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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