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Enregistrement W4318931961 · doi:10.1097/prs.0000000000010060

Prevalence of Global Surgery Opportunities in Plastic Surgery Residency Programs

2022· article· en· W4318931961 sur OpenAlexaboutno aff
Jackson Green, Megan M. Rodriguez, Janhavi V. Govande, Sairandri Sathyanarayanan, Phuong D. Nguyen

Notice bibliographique

RevuePlastic & Reconstructive Surgery · 2022
Typearticle
Langueen
DomaineMedicine
ThématiqueGlobal Health and Surgery
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAccreditationMedicineGraduate medical educationPlastic surgeryOutreachMedical educationGlobal healthCompetence (human resources)Family medicineSurgeryNursingPublic healthEconomic growth

Résumé

récupéré en direct d'OpenAlex

There is a critical need for global plastic surgical intervention, but a safe and responsible approach must be taken to ensure the longevity of improving health outcomes. Sixty-six percent of surgical disease disability-adjusted life-years are attributable to injury, malignancy, or congenital anomaly—the three categories most frequently treated by plastic surgical intervention.1 Benefits of surgical volunteerism for residents include becoming competent at operating with limited resources, increased exposure to operative pathology, improved cultural competence, and forging new relationships.2 This study aimed to examine the availability of such opportunities in plastic surgery training programs. All plastic surgery residencies accredited by the Accreditation Council for Graduate Medical Education were identified through the American Council of Academic Plastic Surgery, and their publicly available web sites were assessed for global surgery opportunities. Programs offering independent and integrated residencies were considered one program. Variables were recorded into a database for analysis. There were 136 plastic surgery residency programs accredited by the Accreditation Council for Graduate Medical Education identified. Of these, 31 (22.8%) indicated a global surgery opportunity on their website (Table 1). Global surgery trips counted toward residency requirements for 19 (61.3%) of the programs. Of the 31 programs, funding was available for 32.3% of global surgery opportunities. Faculty from the institution sponsoring the international opportunity provided oversight in 21 (67.7%) programs. The locations of international surgical outreach spread across the globe, with 27.6% in Asia, 24.1% in Central America, 22.4% in Africa, 20.7% in South America, 3.4% in Oceania, and 1.7% in Europe (Fig. 1). Many of the programs reporting global surgery trips had opportunities in more than one country, and 59 countries were reached by global surgery programs. Of the plastic surgery programs offering international surgical opportunities, nine (29.0%) were in the South, 10 (32.3%) in the Midwest, seven (22.6%) in the Northeast, and five (16.1%) in the West. Of note, 75.7% of the associated academic institutions reported having a university-wide global health program, with 50% of these institutions also indicating a global surgery program. Table 1. - Locations of Global Surgery Opportunities for Each Program Program Location Dartmouth Mary Hitchcock Memorial Hospitala Dominican Republic, Vietnam Georgetown University Hospital Korea, Taiwan Mayo Clinic College of Medicine and Science (Rochester) Peru Medical College of Wisconsin Colombia, Nepal, Ethiopia New York Presbyterian Hospital (Columbia and Cornell Campus) Australia, Brazil, Canada, Ethiopia, France, Haiti, India Northwestern University Rwanda, Liberia, Vietnam Oregon Health & Science University Haiti, Tanzania Penn State Medical Center India Rush University Medical Centera Dominican Republic, Rwanda Stanford University Zimbabwe, Vietnam, Bhutan, Nepal Temple University Hospital Ghana University of California (Irvine) Taiwan University of Kansas School of Medicine Guatemala University of Kentucky College of Medicine Guatemala, Ecuador University of Massachusetts Chan Medical School Ecuador University of Miami Health System Haiti University of Minnesotaa India, Philippines, Central America, South America University of South Florida College of Medicine Vietnam, Haiti, Peru University of South Florida Morsani Panama University of Tennessee College of Medicinea Peru, Zambia, Philippines, Honduras University of Texas Health Science Center at Houston Vietnam University of Utah Healtha Guatemala, Ghana University of Wisconsin Hospitals and Clinics Nicaragua, Ecuador, Thailand Virginia Commonwealth University Health System St. Vincent Wright State University Peru, Paraguay, Guyana, Zambia, Dominican Republic, Africa aPrograms with both integrated and independent residency programs offering global surgery opportunities. Fig. 1.: Map illustrating locations and number of global surgery opportunities by country.Global surgery has become increasingly vital in the realm of global health, but the mission to promote health through global surgical intervention has not been matched by plastic surgery residency programs. The paradigm of global health engagement has evolved from the traditional sporadic mission-type model to a long-term investment in local personnel and resources with enhancement of local surgical capacity.3 It is in these types of relationships that a residency training program can develop longitudinal care while fostering a robust interchange of education, research, and clinical care with partners in low- and middle-income countries. Whereas developing and funding international opportunities may present challenges, these opportunities present a benefit for residents as well as in recruitment of applicants.4 When compared with the prevalence of global health programs at home institutions, there is a marked decrease in global surgical opportunity among the plastic surgery training programs. Although great strides have been made in providing global surgery opportunities, there is significant room for an increase in their prevalence and availability. DISCLOSURE The authors have no financial interest to declare in relation to the content of this article.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,011
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Méta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,034
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,011
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,002
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,058
Tête enseignante GPT0,280
Écart entre enseignants0,222 · 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 tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
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

Citations0
Publié2022
Routes d'admission1
Résumé présentoui

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