Validation de l'Échelle d'évaluation des comportements et des attitudes d'observance des prescriptions psychopharmacologiques (ÉCAOPP).
Bibliographic record
Abstract
Dans la region de Montreal et de ses banlieues, en 2001, la prescription de medicaments psychotropes touchait 36,6 % des enfants et des adolescents dans les centres de readaptation (Lafortune, Laurier & Gagnon, 2004) ou les jeunes sont places pour des motifs divers (troubles du comportement, incapacites parentales, delinquance, etc.). Devant l'ampleur du phenomene, des questions se posent quant a l'adhesion (ou « observance ») des jeunes a la medication psychotrope qui leur est prescrite. Aucune etude n'a encore evalue l'adhesion aux prescriptions de medicaments psychotropes dans les milieux de reeducation pour mineurs. Dans un premier temps, etant donne l'absence de mesure adequate de l'observance pour cette population, cette etude se propose de valider l'Echelle d'evaluation des comportements et des attitudes d'observance de la prescription psychophamacologique (ECAOPP). E premier, l'evaluation de la structure factorielle et ensuite de la consistance interne de l'echelle sera realisee. Un total de 89 participants a ete recrute pour cette etude de validation, 65 % (n = 58) de ceux-ci etant des adolescents et 35 % (n = 31) des adolescentes. La version finale retenue de cette echelle, revelant de tres bonnes proprietes psychometriques, comprend 12 items mesurant l'acceptation des medicaments psychotropes prescrits (sept items) et les comportements d'observance face aux medicaments psychotropes prescrits (cinq items).
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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 | 0.042 | 0.073 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".