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Enregistrement W4384926622 · doi:10.70709/i4h408l4

A 10-Year Report on the Trends of Osteopathic Medical Students (OMS) in Osteopathic Orthopaedic Residency over the Past Decade

2023· article· en· W4384926622 sur OpenAlexfundno aff
Julieanne P. Sees, Ahmed Nahian, Ryan Johnson

Notice bibliographique

RevueJournal of the American Osteopathic Academy of Orthopedics · 2023
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueDiversity and Career in Medicine
Établissements canadiensnon disponible
Organismes subventionnairesMcGill University
Mots-clésGraduation (instrument)MedicineOsteopathic medicine in the United StatesResidency trainingOrthopedic surgeryFamily medicineMedical schoolMedical educationAlternative medicineSurgeryMathematics

Résumé

récupéré en direct d'OpenAlex

OBJECTIVES: Osteopathic match rates in competitive specialties, such as orthopaedics, have been under intense scrutiny. This study aimed to quantify trends in the characteristics of Osteopathic Orthopaedic Surgical Residency training and education from graduating classes of 2010-2020. METHODS: This was a retrospective evaluation of a large, longitudinally maintained database of the American Osteopathic Association (AOA) from orthopaedic residency graduating classes of 2010-2020. Trends in characteristics were analyzed, including the resident's age at graduation from medical school and residency, gender, advanced degree status, College or School of Osteopathic Medicine (COM/SOM), residency, and residency class year. RESULTS: Overall, the number of osteopathic orthopaedic residents had a 32.9% increase from 85 to 113 per year, graduating over the past decade. Statistical forecasting predicts a 27.8% increase in osteopathic orthopaedic residents over the next decade. The percent composition of osteopathic students entering orthopaedic residency class by gender remained relatively stable. The average percent male composition of the orthopaedic residency class was 90.5%, ranging from a maximum of 96.1% and a minimum of 83.7%. While the average percent female composition of orthopaedic residency class was 9.5% for the past decade, statistical forecasting predicts that over the next decade, the average percent composition of females in orthopaedic residency will be 5.8%. The average age of residents at graduation was 33.4 years, while across the decade, resident age at graduation decreased by 9.8%. On average, female orthopaedic residents at graduation were younger than male orthopaedic residents. Osteopathic Postdoctoral Training Institute (OPTI)-West/Community Memorial Health System Orthopaedic Surgery Residency had the highest average age at residency graduation (35.7 years), and Lake Erie COM/York Hospital Orthopaedic Surgery Residency had the youngest average age at residency graduation (32 years). Edward Via COM-Carolinas Campus had the highest average age at graduation from medical school (30.5 years), and Touro COM had the lowest average age at graduation from medical school (26.7 years). Only 3.3% of osteopathic orthopaedic residents had additional advanced degrees. Philadelphia COM produced the most significant number of orthopaedic residents (89) and trained the most female orthopaedic surgeons of any program over the ten years. CONCLUSIONS: The number of osteopathic medical students entering orthopaedics has increased over the past decade. However, there remains a lack of a similar increasing trend of female osteopathic medical students entering osteopathic orthopaedic residency programs. Interestingly, the age of osteopathic orthopaedic residents at graduation decreased across the decade, while advanced degrees did not play a statistically significant factor in matching into orthopaedic surgery. The osteopathic medical school was the most significant predicting factor in matching into orthopaedic surgery. With such knowledge, greater efforts should aim to enhance osteopathic medical student exposure to orthopaedic programs to maintain quality candidate interest in this competitive field, including female prospects, while also increasing the holistic diversity of characteristics within the field of orthopaedic surgery.

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)0,001
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: Incitatifs · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,999
Score d'incertitude au seuil0,036

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0030,003
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

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 Opus0,028
Tête enseignante GPT0,345
Écart entre enseignants0,316 · 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.

Devis d'étudeObservationnel
DomaineIncitatifs
GenreEmpirique

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

En bref

Citations6
Publié2023
Routes d'admission1
Résumé présentoui

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