Confidence in Spine Training Among Senior Neurosurgical and Orthopedic Residents
Notice bibliographique
Résumé
STUDY DESIGN: A cross-sectional survey of senior neurosurgical and orthopedic residents. OBJECTIVE: To evaluate the confidence of senior orthopedic and neurosurgery residents in performing spinal surgical procedures and their need for further training. The content and exposure to spine training as well as anticipated practice profile were characterized. SUMMARY OF BACKGROUND DATA: Spinal surgery is performed by specialists with backgrounds in orthopedic surgery and neurosurgery. As this subspecialty evolves, the need to modify training programs to keep up with technological and medical advances becomes increasingly clear. The primary objective of this study was to evaluate the self-assessed confidence and perceived need for further training of senior orthopedic and neurosurgical residents in performing a number of spinal surgical procedures. METHODS: An evaluation of self-assessed surgical competence of senior orthopedic and neurosurgery residents in Canada was undertaken by mail-out questionnaire. A follow-up questionnaire was mailed to nonresponders 3 months later. Survey results were summarized using SPSS statistical software, and descriptive and comparative analyses were performed. RESULTS: Significant differences in time and exposure to spine training differentiated the neurosurgical and orthopedic residencies (37% and 16% of total residency time devoted to spine, respectively). Neurosurgical residents reported significantly higher levels of confidence for all 25 surgical procedures. Of those residents anticipating incorporating spine into their practice, 29% of neurosurgery residents planned on entering a spine fellowship compared with 17% of their orthopedic colleagues. CONCLUSIONS: Training in spine surgery constitutes a considerably larger proportion of neurosurgery residency than orthopedic residency. Neurosurgery residents graduate with significantly higher levels of confidence to perform spine surgery, while orthopedic residents report significantly higher need for additional training in spine surgery. The majority of neurosurgery graduates report that they will include spine in their clinical practice, while most orthopedic graduates will exclude it.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».