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Enregistrement W2967792577 · doi:10.4300/jgme-d-18-01031

The Rwanda Anesthesia Residency Program: A Model for GME in Low- and Middle-Income Countries

2019· article· en· W2967792577 sur OpenAlexaboutno aff
Eugène Tuyishime, Marcel E. Durieux, Paulin Ruhato Banguti

Notice bibliographique

RevueJournal of Graduate Medical Education · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueGlobal Health and Surgery
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMentorshipAnesthesiologyMedical educationResidency trainingMedicineGraduate medical educationFaculty developmentWork hoursCurriculumWork (physics)Professional developmentPsychologyAnesthesiaAccreditationPedagogy

Résumé

récupéré en direct d'OpenAlex

As other low- and middle-income countries, Rwanda faces the challenge of an insufficient number of physicians, including anesthesiologists. Over the last 12 years, using a dedicated collaborative group and innovative training methodology, the country has increased the number of anesthesiologists from 1 (in 2006) to 19 (in 2018), with an additional 42 residents currently in training. In this article, we describe lessons learned from this 12-year experience managing an anesthesia residency program in a low-resource setting.At the beginning of 2006, the anesthesia residency program at the University of Rwanda was designed, based on a successful program in Nepal, to train sufficient Rwandan anesthesiology teachers by 2020 to be self-sufficient in educating additional anesthesiologists.1,2 During this period, this residency program had to overcome a number of challenges.Initially, the anesthesia residency program relied mainly on volunteer physician faculty from Canada and the United States. Each month a volunteer was assigned, most times with a resident, providing 1 to 2 full-time equivalent education staff for academic and clinical teaching. Since 2016, volunteers come on alternate months and work more closely with local staff to provide mentorship in teaching as the program approaches self-sufficiency in this area. In addition, senior residents are involved in the teaching and mentorship of junior residents in order to prepare the next generation of local faculty. A current final-year resident describes the involvement of residents in teaching: “Being a resident teacher to mentor junior residents is a wonderful and effective innovation. Both the mentor and the mentee have a benefit: they master the topics while improving teamwork and communication.”Initially, only a few residents joined the program due to limited understanding of the specialty, long work hours, lack of mentorship, and few job opportunities.3 In order to address that problem, in 2015 an organized recruitment system was introduced, which among other approaches, uses WhatsApp messaging to young physicians, and through a “snowball” method, asks interested people to pass information to colleagues. Now, the program has become much more desirable and, with 42 residents, among the largest at the University of Rwanda.In order to develop strong technical skills, the program started a low-fidelity simulation-based education program, where each resident trains at least 2 hours per week.Skills like managing an efficient department, building a culture of safety, and some advanced procedures like anesthesia for heart surgery are difficult to teach in simulation. The Canadian and US national anesthesiology societies helped arrange short international rotations for a period of 1 to 6 months to enhance resident learning at the international level (at Dalhousie University, Stanford University, University of Pennsylvania, Cornell University, University of Virginia, and Virginia Commonwealth University in the United States). So far, 15 residents have benefited from those external rotations and reported excellent learning experiences. One resident who benefited from the external rotation describes this program: “During my rotation in the USA, I learned essential skills to provide high-quality anesthesia care. In addition, I learned the leadership and management skills necessary to run an effective anesthesia department. This is an essential component of our program, and I suggest that every resident gets a chance to participate in this excellent program.”Residents are required to submit a thesis at the end of their training, but due to insufficient local mentors few have published their work. A new blended acute care operational research course has been established recently to address this. This course has been adapted from the World Health Organization endorsed Structured Operational Research and Training IniTiative (SORT IT), and uses local and external staff to provide mentorship to residents enrolled in the course.4As Rwanda still has few anesthesiologists, it is challenging to recruit academic staff, due to high demand in non-academic settings. In addition, 4 anesthesiologists have found international jobs, working mainly with Médecins Sans Frontières/Doctors Without Borders and the International Committee of the Red Cross. In order to have sufficient academic staff, the University of Rwanda has appointed 4 senior residents to assistant lecturer positions in the department of anesthesiology; they will become faculty once they graduate and will help to achieve the objective of a locally run academic anesthesia program.Despite the above-mentioned achievements, some weaknesses remain that need to be addressed.After graduation, further professional development is needed for subspecialty practice. Currently, Rwandan anesthesiologists have to obtain fellowship training in Kenya, India, or Nigeria, and spend 6 to 12 months away from their patients and families. Seven anesthesiologists have completed such fellowships, mainly in areas of pediatric anesthesiology and intensive care medicine. Developing local fellowships can provide an opportunity to train more anesthesiologists from Rwanda and abroad.With few anesthesiologists, there is a heavy clinical load and little time to prepare for teaching. In addition, there is no protected time for teaching and no incentives to encourage local anesthesiologists to teach. One senior resident proposes a solution to this problem: “There is a need to recruit more residents in order to graduate both academic and clinical anesthesiologists. Also, incentives are needed in order to motivate clinical anesthesiologists to be involved in teaching. Lastly, fellowship programs can contribute to the development of a teaching culture in the department.” More advocacy at the university and government levels will be needed to improve engagement of local staff in teaching and to ensure sustainability of the program.In conclusion, the Rwanda anesthesia program has grown from 1 to about 20 certified specialist physicians in 12 years through local training—a graduate medical education accomplishment that may be unmatched. Main factors in this success include dedicated teams in Rwanda, Canada, and the United States, clear long-term goals and a matching curriculum, and incisive and innovative approaches to identified problems. The 3-country collaboration is a great example of efficient and effective partnership. Importantly, this is not a stand-alone project: it is built on a successful program used in Nepal2 and is currently being implemented in Ethiopia and Guyana, which shows the model's generalizability to other settings.

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)0,002
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: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,221
Score d'incertitude au seuil0,811

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,030
Tête enseignante GPT0,351
Écart entre enseignants0,321 · 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'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

Citations4
Publié2019
Routes d'admission1
Résumé présentoui

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