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Record W3123889380 · doi:10.3917/spub.204.0375

Le Plan Alzheimer québécois, un plan basé sur les soins primaires

2020· article· fr· W3123889380 on OpenAlexaffabout
Geneviève Arsenault‐Lapierre, Claire Godard‐Sebillotte, Nadia Sourial, Yves Couturier, Pierre Bouchard, Laura Rojas‐Rozo, Colette Pilon, Howard Bergman, Isabelle Vedel

Bibliographic record

VenueSanté Publique · 2020
Typearticle
Languagefr
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsUniversité de MontréalUniversité de SherbrookeCentre Hospitalier de l’Université de MontréalMcGill UniversityInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Many countries have answered the call from the World Health Organization, and developed or implemented Alzheimer Plans. Some plans anchored the majority of the care for persons living with dementia in specialized care settings, while others anchored it in primary care. In this article we present the Quebec Alzheimer Plan, which is being implemented in Family Medicine Groups, primary care interdisciplinary clinics, across the Canadian province. The Quebec Alzheimer Plan aims to enable primary healthcare teams of physicians, nurses and/or social workers to provide access to personalized, coordinated assessment and treatment services for people living with dementia and their caregivers. The Quebec Alzheimer Plan enables and empowers primary care clinicians to detect, diagnose, treat and follow-up the vast majority of patients/caregivers. A major strength of the Quebec Alzheimer Plan strategy is the embedded evaluation to inform implementation and its flexibility to allow local adaptations. We are discussing that it is feasible and advantageous to anchor dementia care in an interprofessional primary care setting.

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)0.004
metaresearch head score (Gemma)0.007
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.049
Threshold uncertainty score0.220

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0050.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.001

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 head0.046
GPT teacher head0.295
Teacher spread0.249 · 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

Citations16
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueSanté PubliqueSame topicDementia and Cognitive Impairment ResearchFrench-language works237,207