La qualité des soins sous le prisme de l’expérience
Bibliographic record
Abstract
L’expérience des soins et services occupe une place de plus en plus grande au sein des organisations de santé. Influencé par le mouvement axé sur le partenariat-patient·e, ce changement de paradigme incite à prioriser les intérêts et les besoins des usagers·ères en les impliquant dans l’amélioration des soins et services. Mais comment les usagers·ères de services peuvent-ils et elles contribuer à conceptualiser ce que constituent des soins de qualité? Dans le cadre de notre recherche, un dispositif de co-design a été mis sur pied afin de développer collectivement des outils pour monitorer la qualité des soins et services périnataux reçus par des parents ayant eu une expérience d’accouchement en milieu hospitalier. Cet article présente les résultats de l’évaluation du dispositif de co-design qui a été utilisé.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.028 | 0.066 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".