A93 VOLUME OF EMR EXPOSURE IN TRAINING IS CORRELATED WITH POLYPECTOMY COGNITIVE COMPETENCE AMONGST RECENT GASTROENTEROLOGY GRADUATES
Notice bibliographique
Résumé
Abstract Background Competence in performing polypectomy is increasingly appreciated as a colonoscopy quality metric, as incomplete resection can lead to post-colonoscopy colorectal cancer, particularly for polyps removed using piecemeal endoscopic mucosal resection (EMR). The relationship between training experiences and cognitive competence in polypectomy has not been previously described. Aims We aimed to examine associations between training and assessment experiences, self-reported comfort, and cognitive competence in polypectomy amongst recent graduates of Canadian gastroenterology training programs. Methods An online survey was distributed to recent GI graduates (≤5 years in independent practice). The survey comprised 4 sections: (1) demographics; (2) training and assessment experiences in colonoscopy, polypectomy, and EMR; (3) self-reported comfort in performing aspects of polypectomy outlined in the Direct Observation of Polypectomy Skills Assessment Tool; and (4) performance on a 22-item multiple choice quiz intended to assess cognitive competence in polypectomy (items and correct responses to which were determined a priori based on agreement of two experts). Data was analyzed using descriptive statistics and associations between predictors (demographics, training/assessment experiences, self-reported comfort) and outcomes (quiz score) were assessed using multiple linear regression. Results There were 28 survey respondents, comprising 13 (46%) who trained in advanced endoscopy, 5 (18%) in hepatology, 2 (7%) in motility, 1 (4%) in IBD, 1 (4%) in nutrition, and 6 (21%) with no advanced training. This cohort had a mean (SD) duration in independent practice of 29.0 (18.4) months. Their mean (SD) annual volume of colonoscopy, polypectomy, and EMR in independent practice was 530 (221), 182 (76), 28 (16), respectively and they had completed 525 (203) colonoscopies, 146 (92) polypectomies, and 23 (20) EMRs in their prior training. Their mean (SD) quiz score was 71.9% (13.2%). ANOVA revealed significant score differences based on fellowship history, with those trained in advanced endoscopy achieving the highest scores (81.1%, P=0.01). Multiple linear regression revealed that the number of EMRs completed during training was significantly correlated with quiz performance (B=0.60, P=0.03). Conclusions EMR experience during training appears to be associated with cognitive competence in polypectomy in independent practice. These results suggest increasing exposure to EMR in training may improve polypectomy quality amongst practicing endoscopists. Funding Agencies CAG
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».