Case logging habits of integrated vascular surgery residents
Notice bibliographique
Résumé
ObjectiveCurrent research suggests a significant discrepancy in integrated vascular resident (IVR) vs vascular fellow case numbers by the completion of training. Our objective was to understand how IVRs log cases over the course of their training. Additionally, we sought to assess whether IVRs receive any formal training on appropriate case logging techniques or their requirements for graduation.MethodsThis study was approved by the Association of Program Directors in Vascular Surgery; a survey was sent out to all current IVRs nationwide as well as to trainees who graduated in July of 2020. Demographic variables and training program data were collected in addition to assessing trainee knowledge of graduation requirements. Trainees where then given common case scenarios and asked how they would log the case.ResultsOf the 418 residents identified from the Association of Program Directors in Vascular Surgery program roster for the 2019-2020 and 2020-2021 academic years, 32% of individuals participated in the survey. Only one-quarter of the respondents logged all cases performed, with the major cited reason for not logging cases being the low level of involvement. Of the residents, 62% reported receiving formal instruction on how to log cases appropriately, with the majority of trainees logging cases either weekly (37%) or monthly (31%). Sixty-three percent of respondents knew that 250 major vascular cases were required to graduate; however, 71% of residents thought 250 major vascular cases were required to be completed during their chief year. Seventy-five percent of trainees incorrectly believed that only primary procedures logged count toward graduation requirements. Eighty-one percent of respondents were incorrect or unsure of how to log cases as a student in postgraduate year 4. Only 5% of respondents correctly answered all six case logging scenarios correctly based on the current/provided Accreditation Council for Graduate Medical Education guidelines, and only two trainees (1.5%) answered all graduation requirement questions correctly. No trainees answered all case logging scenarios and graduation requirement questions correctly. Having any type of instruction on how to log cases, whether from faculty or peers, did not affect ability to answer case logging scenarios or graduation requirement questions significantly.ConclusionsThere is significant variability when it comes to the case logging habits of IVRs. The majority of trainees do not receive formal instruction on how to log cases. The majority of trainees are also unaware of their graduation requirements as they pertain to the cases the are required to log.
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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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| 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 ».