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Record W3213137065

Prevention in healthcare: France and Quebec face similar challenges

2009· article· fr· W3213137065 on OpenAlexaboutno aff
Jean-Baptiste Morisset, Laurent Chambaud, Patrice Joubert, Jean-Jacques Rochon

Bibliographic record

VenuePratiques et Organisation des Soins · 2009
Typearticle
Languagefr
FieldHealth Professions
TopicHealth, Medicine and Society
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesMedicineArt
DOInot available

Abstract

fetched live from OpenAlex

Resume De nombreux enjeux se posent pour l’avenir des systemes de sante en France et au Quebec. Ces enjeux, similaires des deux cotes de l’Atlantique, sont caracterises par des transitions (demographique, epidemiologique et technologique), qui auront une incidence sur les pratiques de soins et de prevention. Le vieillissement des populations, l’amelioration de la qualite de vie, le deficit projete de certaines professions de la sante sont parmi les phenomenes qui les caracterisent et qui mettent a l’epreuve le systeme de sante. Dans ce contexte, il sera d’autant plus necessaire d’agir en amont des problemes de sante et d’investir les efforts du cote de la prevention. Les professionnels du soin sont directement interpelles pour mettre en œuvre ou pour participer aux actions de prevention. Dans les contextes de transformation des deux systemes, quatre types de leviers ou incitatifs ont avantage a etre mis de l’avant pour que la prevention s’integre dans les pratiques de soins : 1) le levier de la gouvernance, qui etablit la coherence globale des actions en liant les interventions propres au systeme de soins et celles qui se developpent dans le cadre d’une strategie de sante ; 2) le levier professionnel, qui cible la valorisation des competences sur le plan des pratiques de prevention et du leadership ; 3) le levier organisationnel, qui favorise le developpement de competences collectives autour de la prevention ; 4) le levier financier, qui oblige a explorer de nouveaux modes de remuneration et d’incitatifs soutenant la prevention.Prat Organ Soins 2009;40(4):275-282

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.764
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.086
GPT teacher head0.424
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

Citations0
Published2009
Admission routes1
Has abstractyes

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