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Enregistrement W2982857463 · doi:10.36106/ijsr/0221510

A TEMPLATE FOR SURGICAL RESIDENCY TRAINING PROGRAM (SURGICAL POSTGRADUATE TRAINING) IN DEVELOPING COUNTRIES.

2019· article· en· W2982857463 sur OpenAlexaffabout
Ajao Oluwole Gbolagunte

Notice bibliographique

RevueINTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueGlobal Health and Surgery
Établissements canadiensCollege of Physicians and Surgeons of Ontario
Organismes subventionnairesnon disponible
Mots-clésDeveloping countryDeveloped countryQuality (philosophy)Training (meteorology)Economic growthMedicineBusinessPolitical scienceMedical educationPublic relationsEconomicsPopulationGeographyEnvironmental health

Résumé

récupéré en direct d'OpenAlex

Background: Many doctors who trained in developing countries always travelled to developed countries for specialization. After specialization, many of them do not return to their countries of origin but stay put in the host countries, and get absorbed into the health delivery system of the host countries. To stop this exodus of much needed man-power in the developing countries, many of these developing countries devised their own postgraduate programs so that there will be no need for doctors that aspire to specialize to leave the country any more. This review article is to assess the quality of the various postgraduate programs in the Third World countries. Study design: The postgraduate programs in some developing countries like Nigeria, Ghana and some countries in the South Pacific were studied and compared with some programs in the developed countries like the United States of America and Canada. There are differences in these programs. We therefore attempt to identify the weaknesses of the programs in the developing countries and make suggestions in some aspects of the programs so as to produce Residency training programs that will satisfy the needs and the peculiarities of the developing countries, and yet measure up to international standards. Results and findings: Many of the postgraduate programs in the developing countries, as they are now, fall far short of international acceptable standard. There are essentially two main reasons for this: some of the programs are directly under the control of the Governments in those countries, where the priorities are more economic than quality. Also, there is this notion among the doctors in the developing countries that surgical postgraduate training must be treated like preparation for a university PhD degree, even though university Senate has no in-put in awarding fellowship certificate. In the Third World countries, it is felt that “special breed” of surgeons must work in the university environment because it is considered “prestigious” to work in the universities. Conclusion:Even though the aim to retain doctors in their countries can be said to have been achieved, it came at a great price because the programs are very different from the well established residency training program as introduced by William Halsted and Churchill. This gives rise to a program comparative to residency training in the specialty of General Medical Practice, which is very different and of lower standard than internationally accepted surgical residency training program. It also equates the training, in some aspects, to that of a university Master's and PhD degrees. Abbreviations: RTP, Residency Training Program; LSP, Local Specialist Program; GCPS, Ghana College of Physician and Surgeons; NPGMC, National Post Graduate Medical College; WACS, West African College of Surgeons; LST, Local Surgical Training; MCQ, Multiple Choice Questions; OSCE, Objective Structured Clinical Examination; SRTP, Surgical Residency Training Program; MMed, Master's degree in Medicine.

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)0,012
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,917
Score d'incertitude au seuil0,847

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0120,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,210
Tête enseignante GPT0,498
Écart entre enseignants0,289 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
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
Publié2019
Routes d'admission2
Résumé présentoui

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