Design of a new competency-based entrustment scale for the evaluation of resident performance
Notice bibliographique
Résumé
Abstract Purpose Recent changes in the design and evaluation of residents to a more competency or mastery-based framework requires frequent observation, evaluation and documentation of residents by busy clinician teachers. Evaluating and determining competent performance is essential for formative evaluation and must be defensible and sound for summative purposes. We sought out experienced Faculty perspectives regarding: (1) important resident performance markers for demonstrating competent attainment of an EPA; (2) the standard of performance expected of graduating residents; (3) evidence for the validity of our purposed entrustment scale; and (4) necessary components required to provide feedback to residents in guiding the development of competent performance of an EPA. Methods We surveyed Canadian 172 neurosurgical Faculty who had publicly available email addresses and received 67 questionnaire responses, 52 of which were complete responses regarding resident performance markers and our proposed entrustment scale (ES) which consisted of five levels of graded achievement focused on resident performance. Results Being able to “perform safely” was consistently rated as the most important element of competence that Faculty stated was the critical marker of competence that should be rated, and was found in the D and E Levels of our scale. Our scale does not include any commentary on “performing without supervision” which was rated as the least important marker of performance. For the graduating neurosurgical resident, 90.4% of Faculty indicated that residents should be capable of adapting performance or decisions in response to contextual complexities of the activity independently and safely (Level E) (67.3%) or being able to perform a procedure safely without complexities independently (level D) (21.3%). Eighty percent indicated that the descriptions of competence levels described in our ES (Level A through Level E) represent the appropriate progression of entrustment required demonstrating competent attainment of an EPA. Forty-four percent of Faculty had considerable concern about liability issues with certification of competence based on an ES that is based on descriptions of decreased or no supervision of residents. “Documenting a few weaknesses,” “providing contextual comments of the case,” “providing suggestions for future learning,” and “providing a global assessment for an EPA with one-rating” were rated as the most necessary components in providing effective feedback. Conclusion Our proposed entrustment global rating scale is easily understood by Faculty who indicate that its graded levels of competence reflect appropriate surgical resident progression in a feasible way. Faculty clearly indicated that the standard of a graduating resident should reflect the ability to perform safely beyond simply performing a case and be able to apply clinical judgments to be able to respond and alter behaviour in response to the clinical and contextual complexities of a case. Our scale focuses on evaluation of resident performance, rather than assessing the supervisor’s degree of involvement. This study has implications for the certification of competence of surgeons and physicians.
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 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 | 0,009 | 0,023 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,003 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».