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Enregistrement W3082836547 · doi:10.4103/jfmpc.jfmpc_1001_20

Tele-education for hepatology residents in Bangladesh during the Covid-19 pandemic

2020· article· en· W3082836547 sur OpenAlexaboutno aff
MamunA Mahtab, Faizul Huq, SheikhMohammad N. Alam, Dulal C Das, MohammadH Uddin, SunanB Islam, Musarrat Mahtab, MohammadS. I. Khan, Zakiur Rahman, SheikhM. F. Akbar

Notice bibliographique

RevueJournal of Family Medicine and Primary Care · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueCOVID-19 and healthcare impacts
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineGraduation (instrument)HepatologyPandemicMedical educationPublic healthFamily medicineTransmission (telecommunications)Coronavirus disease 2019 (COVID-19)Internal medicineDiseaseNursingInfectious disease (medical specialty)

Résumé

récupéré en direct d'OpenAlex

To the Editor, Since the beginning of pandemic of coronavirus disease 2019 (COVID-19), adoptive measures have been taken in Bangladesh as elsewhere in the world, trying to contain social transmission of severe acute respiratory syndrome corona virus-2 (SARS-CoV-2). One important measure in this direction was the closing down of educational institutions, where the likelihood of physical contact is very high and, therefore, there is a high risk of SARS-CoV-2 transmission. In Bangladesh, all educational institutions are closed since March 17, 2020 on the ninth day of detection of first three COVID-19 cases in the country.[1] As the nation gradually proceeds toward easing ongoing lock-down, it appears that the educational institutions are unlikely to open anytime soon. This is also the strategy that is being adopted across the globe where lock-down is gradually being relaxed in a step by step manner. Innovative measures are being implemented to keep academic activities ongoing in Bangladesh. Bangabandhu Sheikh Mujib Medical University (BSMMU) is the first and as of now the only functioning medical university of the country. It is a public university where post-graduation courses are offered in almost all disciplines of medical science. Doctor of Medicine in Hepatology offered by this medical university is the first post-graduation course in Hepatology in the Indian subcontinent which has been running successfully since the early 1990s. The university adopted a residency program for post-graduate teaching in 2009. Since the COVID-19 pandemic began, academic activities of the Hepatology Department of this university has been affected like it's all other departments. In order to sustain academic activities of Hepatology Department of BSMMU, Dhaka, we have opted to online teaching and have collaborated with post-graduate institutes as well as professional bodies at the national and international levels. These include North Shore University Hospital, New York, USA, Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS), Lucknow, India, Ganga Ram Institute of Postgraduate Medical Education and Research (GRIPMER), New Delhi, India, Indian National Association for the Study of the Liver (INASL), Indian Society of Gastroenterology (ISG), and Forum for the Study of the Liver, Bangladesh. In the pre-COVID-19 era, we only had classes for the residents of our department where physical presence was mandatory. Following the introduction of tele-education, the extent and spectrum of academic activities of our department have increased during this ongoing COVID-19 epidemic. Our tele-education format consists of sessions of 1 h duration on Zoom™ platform in PowerPoint. Faculty members include eminent academicians from home and abroad. All sessions are performed in English. At the end of each session, a few additional minutes were assigned for questions and comments. There has been an increase in the frequency of classes from pre-COVID-19 pandemic times and our residents are getting the opportunity to attend these classes regularly [Figure 1].Figure 1: Academic classes for residents in Department of Hepatology, BSMMUA review of literature reveals that there are examples of tele-education for postgraduate medical teaching. This method has been successfully implemented through collaboration by the University of Miami Leonard M. Miller School of Medicine, USA in collaboration with Universidad Peruana Union, Lima, Peru, Massachusetts General Hospital, USA, and Mbarara Regional Referral Hospital, Uganda.[2] Shanghai University Hospital, China and Kyushu Hospital and Tokai University Hospital, Japan have also implemented tele-education.[2] Tele-education has been used by different post-graduate medical institutes for training residents of different specialties including Internal Medicine, Surgery, Gynecology, and Obstetrics to name a few before the outbreak of COVID-19. And during this ongoing COVID-19 pandemic, Brook Army Medical Centre, USA and University of California at San Francisco, USA have reported that they have adopted to tele-education for maintaining education of their residents of Surgery.[3] Tele-education appears to be a very useful method of teaching. A survey revealed that 88% of Internal Medicine residents from Calgary, Canada benefitted from tele-education.[4] Another systemic review conducted by the New South Wales Ministry of Health, Australia also shows that the learning outcomes of tele-education are not only comparable to traditional teaching but also have high acceptance by healthcare professionals.[5] It is expected that Family Medicine teaching will also benefit immensely from tele-education. This will allow academicians to reach out to post-graduate students of Family Medicine across the country. This will also improve the quality of teaching as leading academicians across specialties from different reputed institutes and also different countries can be involved in post-graduate Family Medicine teaching. At the same time, this will allow precious time and resources to be spared, as this will reduce the need of travelling for the post-graduate students of Family Medicine. We plan to continue tele-education in our department in the post COVID-19 era, so that the Hepatology residents of BSMMU would continue to obtain clinical information from Hepatologists of different realities. In addition, tele-education approach of teaching allows the receiver to record the sessions and they can benefit from it again and again after the sessions are expired. Moreover, in most developing countries, traffic jam and other factors also highlight the importance of tele-education via electronic system. Financial support and sponsorship Nil. Conflicts of interest There are no conflicts of interest.

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)0,002
score de la tête « metaresearch » (Gemma)0,020
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: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,018
Score d'incertitude au seuil0,060

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,020
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,001
Communication savante0,0020,002
Science ouverte0,0010,001
Intégrité de la recherche0,0070,005
Charge utile insuffisante (le modèle a refusé de juger)0,0180,003

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 Opus0,156
Tête enseignante GPT0,426
Écart entre enseignants0,270 · 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
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

Citations1
Publié2020
Routes d'admission1
Résumé présentoui

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