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Enregistrement W2467878660 · doi:10.1097/01.prs.0000480000.27057.6d

Evidence-Based Education in Plastic Surgery

2016· letter· en· W2467878660 sur OpenAlexaboutno aff
W. John Kitzmiller

Notice bibliographique

RevuePlastic & Reconstructive Surgery · 2016
Typeletter
Langueen
DomaineMedicine
ThématiqueInnovations in Medical Education
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésTimelineMilestoneGraduate medical educationMedical educationSpecialtyVettingMedicinePsychologyAccreditationFamily medicinePolitical scienceHistory

Résumé

récupéré en direct d'OpenAlex

Sir: I appreciated the article “Evidence-Based Education in Plastic Surgery” by Drs. Johnson, Chung, and Waljee published in the August of 2015 issue of the Journal.1 The summary of major events in the development of graduate medical education along with the timeline shown in Figure 1 is helpful as we contend with our current challenges in the effort to better serve our trainees and our patients. Certainly, all agree that study and evidence should guide education reform. In the section entitled Plastic Surgery: The Need for Evidence-Based Education, page 262e, with regard to the American Council for Graduate Medical Education milestones, the question was raised, “How were they chosen?” I refer the authors and readers to Dr. Mary H. McGrath’s article, The Plastic Surgery Milestone Project.”2 Dr. McGrath described the thoughtful process by which the current version of the plastic surgery milestones was developed. Significant input and review by key stakeholders in our specialty was obtained at multiple steps in the process. There was strong consensus of program directors who were involved in the pilot trial that the milestones provide a very useful framework for plastic surgery graduate medical education. We all agree that there is urgency for better tools for competency assessment and that the current version of the milestones should be reviewed and likely revised as we gain more experience with their use. A major current focus of the American Council of Academic Plastic Surgeons is to explore how competency-based education can be used to improve training. Our members are actively developing new tools for competency-based instruction and assessment. John Potts, M.D., senior vice president of the American Council for Graduate Medical Education, participated on a panel at the American Association of Plastic Surgeons this past spring entitled, “Competency versus Time Based Residency Training in Plastic Surgery.” A proposal was presented by Joseph Losee, M.D., and Vu Nguyen, M.D., at the University of Pittsburgh for the first competency-based program in the United States. We were fortunate to have Peter Ferguson, M.D., share his experience as an early adopter of competency-based education from the University of Toronto Department of Orthopedic Surgery. The possibilities, pitfalls, and current challenges were reviewed. Dr. Potts was very supportive of thoughtful innovation in competency-based education but was clear about his reluctance to support milestones as major indicators of performance because experience with them is still very limited. There is currently a healthy spirit of collaboration among the American Council for Graduate Medical Education, the American Board of Plastic Surgery, the American Council of Academic Plastic Surgeons, and our specialty societies to work together to provide the best education for the next generation of plastic surgeons. I encourage the authors and readers committed to plastic surgery education to become members of the American Council of Academic Plastic Surgeons. Although our membership includes plastic surgery residency program directors and chairs, membership is open to all who are actively engaged in teaching in accredited programs in the United States. Each year, the American Council of Academic Plastic Surgeons sponsors a grant with the Plastic Surgery Foundation for research in plastic surgery education. An American Council of Academic Plastic Surgeons retreat is planned for February 6 and 7, 2016, in Chicago. A significant component of the retreat will be related to evidence-based education, assessment, and faculty development. I welcome all committed to graduate medical education in plastic surgery to become American Council of Academic Plastic Surgeons members and attend. DISCLOSURE The author has no financial interest to declare in relation to the content of this communication. W. John Kitzmiller, M.D. Section of Plastic and Burn Surgery University of Cincinnati College of Medicine 231 Albert Sabin Way Cincinnati, Ohio 45267 [email protected]

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,026
score de la tête « metaresearch » (Gemma)0,175
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,026
Score d'incertitude au seuil0,138

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0260,175
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0040,003
Études des sciences et des technologies0,0010,004
Communication savante0,0050,007
Science ouverte0,0020,002
Intégrité de la recherche0,0100,022
Charge utile insuffisante (le modèle a refusé de juger)0,0050,003

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.

Tête enseignante Opus0,043
Tête enseignante GPT0,297
Écart entre enseignants0,254 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2016
Routes d'admission1
Résumé présentoui

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