MétaCan
Menu
Retour à la cohorte
Enregistrement W2083354291 · doi:10.1111/j.1440-1584.2005.00728.x

Rural medical education comes of age

2005· editorial· en· W2083354291 sur OpenAlexaffabout
Roger Strasser

Notice bibliographique

RevueAustralian Journal of Rural Health · 2005
Typeeditorial
Langueen
DomaineHealth Professions
ThématiqueGlobal Health Workforce Issues
Établissements canadiensNOSM University
Organismes subventionnairesnon disponible
Mots-clésCurriculumGovernment (linguistics)CommonwealthRural areaMedical educationMedicineRural healthRural managementPolitical scienceFamily medicinePsychologyPedagogyRural developmentGeography

Résumé

récupéré en direct d'OpenAlex

‘Rural Doctors: Reforming Undergraduate Medical Education for Rural Practice’, the final report of the Rural Undergraduate Steering Committee (RUSC) for the Department of Human Services and Health was published in May 1994.1 This report set out the framework for the Commonwealth government to fund Australian medical schools for undertaking new initiatives in rural medical education. Recommendations in the report were based on research evidence that shows that two major factors associated with entering rural practice after training are: a rural upbringing (i.e. having grown up in a rural area) and positive clinical and educational experiences as part of undergraduate medical education. In the report, medical schools were challenged to develop specific plans to achieve nine key targets for which they would receive ongoing funding subject to satisfactory annual reports. Within two years, all medical schools had signed on to the RUSC targets, which included recruiting rural origin medical students, and ensuring that all students undertake a minimum of eight weeks’ clinical education in rural settings (including four weeks in rural general practice) plus support for rural practitioners as teachers and contributors to curriculum development.2 In addition to targeted funding of medical schools, the RUSC report provided for the funding of projects of national significance. One such project was the Parallel Rural Community Curriculum (PRCC) introduced by Flinders University in the Riverland of South Australia.3 The central feature of this project was students undertaking a full year of clinical education based in rural general practice and living in one rural community. During this year, the students cover the same curriculum as their colleagues in the metropolitan teaching hospital, but rather than undertaking sequential rotations in medicine, surgery, paediatrics and others, they learn clinical medicine by meeting patients and following them over time including into hospital and specialist care. This is supplemented by local and distance education from specialists and general practitioners plus ongoing problem-based learning. The PRCC model has been an outstanding success as measured by the fact that students achieve higher marks in exams than their metropolitan counterparts.4 This success has led to the view that clinical learning in the rural setting has intrinsic educational value for all medical students beyond any potential future rural workforce benefit.5 The PRCC model has been duplicated in other rural communities by Flinders and by other medical schools in Australia and Canada. The success of the RUSC initiatives provided the basis for subsequent Commonwealth rural academic initiatives: University Departments of Rural Health (UDRH) and Rural Clinical Schools (RCS). UDRHs are academic units in rural/remote locations that have a multidiscipline focus on public and Aboriginal health education and research.6 Rural clinical schools have a focus on rural undergraduate medical education and research.7 Many medical schools have combined these initiatives into Schools of Rural Health, which are substantial academic units located in a range of rural and remote community settings. In addition to existing medical schools establishing rural medical education and research units, the success of the RUSC initiatives has provided impetus for the establishment of new medical schools with a specific mandate focused on rural, remote and Aboriginal health. In Australia, James Cook University School of Medicine was established with this mandate and will graduate its first class of doctors this year.8 In Canada, the Northern Ontario School of Medicine, also established in a rural area with a focus on rural, remote and Aboriginal health, has accepted its first class of undergraduate medical students this year.9 The Northern Ontario School of Medicine is the faculty of medicine of Lakehead University in Thunder Bay and Laurentian University in Sudbury. The School has a social accountability mandate, which is to respond to the needs of the people and communities of Northern Ontario. Geographically vast, Northern Ontario has a diversity of communities and cultures including Aboriginal and Francophone communities. Undergraduate medical students will undertake an integrated curriculum involving patient-centred case-based learning and distributed community-based medical education in a range of rural, remote, small urban, Francophone and Aboriginal communities. Graduates of both James Cook University and the Northern Ontario School of Medicine will be highly skilled medical practitioners who are ready and able to pursue further training and practise anywhere in the world, but have a special affinity for living and working in rural, remote and Indigenous communities. In the decade since the RUSC report, rural medical education has come a long way. The establishment of full medical schools that focus on rural, remote and Aboriginal health signifies a new era of medical education for the 21st century.

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)0,005
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesIntégrité de la recherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,033
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0050,002
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0020,007
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,037
Tête enseignante GPT0,485
Écart entre enseignants0,449 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

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
Publié2005
Routes d'admission2
Résumé présentoui

Explorer davantage

Même revueAustralian Journal of Rural HealthMême sujetGlobal Health Workforce IssuesTravaux en français237 207