FR01-20 HOME GROWN: THE DEVELOPMENT AND STRUCTURE OF UROLOGICAL TRAINING IN THE CARIBBEAN
Notice bibliographique
Résumé
You have accessJournal of UrologyHistory of Urology Forum I (FR01)1 Apr 2020FR01-20 HOME GROWN: THE DEVELOPMENT AND STRUCTURE OF UROLOGICAL TRAINING IN THE CARIBBEAN Satyendra Persaud*, Belinda Morrison, William AIken, Lawson Douglas, and Lester Goetz Satyendra Persaud*Satyendra Persaud* More articles by this author , Belinda MorrisonBelinda Morrison More articles by this author , William AIkenWilliam AIken More articles by this author , Lawson DouglasLawson Douglas More articles by this author , and Lester GoetzLester Goetz More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000000850.020AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Most of the Urologists in the English-speaking Caribbean are graduates of the local training program. Despite the tremendous impact of this training program regionally, there is a lack of awareness of its existence among the wider urological community. This article reviews the history, development and structure of urological training in the English-speaking Caribbean. METHODS: A review of the history and current status of training was documented RESULTS: The University of the West Indies was founded in 1948 with the first campus located in Mona, Jamaica . Surgical training commenced in 1972 at the Mona Campus in Jamaica and was established by Professors Harry Annamunthodo and Errol Walrond. The development of Urology training at UWI in Jamaica followed that of General Surgery. Some years later, training commenced in Trinidad and Tobago mirroring its evolution in Jamaica. Development of urology training The development of urology training in Jamaica was the brainchild of Dr. Lawson Douglas and was borne out of necessity as the high patient to provider ratio in the 1970s was untenable. Several trainees were sent to Canada but only one returned, the rest being lured by lucrative opportunities abroad. Dr Douglas developed a Diploma, a Masters, and then the Doctor in Medicine as it is today. Similar issues led Dr Lester Goetz to develop a training program in Trinidad and Tobago in 2006. The majority of the urologists servicing these two islands are graduates of this local training program. Structure of urology Training. The Doctor of Medicine Program in Urology is divided into two parts – “Part One” consists of core surgical rotations whereas “Part Two” is dedicated urological training. During Part One, residents complete basic surgical rotations. Following successful completion of core training, trainees then complete four years of urological training inclusive of a one or two-year overseas elective period. They are also expected to compile either a casebook of twenty case reports with accompanying commentaries, or ten case reports along with a research project. Following acceptance of the casebook by the university, trainees then sit an exit examination again consisting of written and oral components. Residents are strongly encouraged to participate in research and from 2014 residents undertake the AUA In-Service Examination on a yearly basis. CONCLUSIONS: Since its inception, the Doctor of Medicine in Urology, offered by The University of the West Indies has provided the Caribbean region with the majority of its urologists. Training is structured into parts with exit dependent upon successful completion of an examination. Most have remained in the islands in which they trained. Source of Funding: none © 2020 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 203Issue Supplement 4April 2020Page: e291-e291 Advertisement Copyright & Permissions© 2020 by American Urological Association Education and Research, Inc.MetricsAuthor Information Satyendra Persaud* More articles by this author Belinda Morrison More articles by this author William AIken More articles by this author Lawson Douglas More articles by this author Lester Goetz More articles by this author Expand All Advertisement PDF downloadLoading ...
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 | 0,002 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,003 | 0,002 |
| Communication savante | 0,004 | 0,002 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,032 | 0,002 |
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 ».