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Enregistrement W2790479916 · doi:10.22605/rrh4426

Does rural generalist focused medical school and family medicine training make a difference? Memorial University of Newfoundland outcomes

2018· article· en· W2790479916 sur OpenAlexaffabout
James Rourke, Shabnam Asghari, Oliver Hurley, Mohamed Ravalia, Michael Jong, Wendy Graham, Wanda Parsons, Norah Duggan, Danielle O’Keefe, Scott Moffatt, Katherine Stringer, Carolyn Sturge Sparkes, Janelle Hippe, Kristin Harris Walsh, Donald W. McKay, Asoka Samarasena

Notice bibliographique

RevueRural and Remote Health · 2018
Typearticle
Langueen
DomaineHealth Professions
ThématiqueGlobal Health Workforce Issues
Établissements canadiensJaneway Children's Health and Rehabilitation CentreMemorial University of Newfoundland
Organismes subventionnairesnon disponible
Mots-clésGeneralist and specialist speciesTraining (meteorology)Medical educationMedical schoolMedicineFamily medicineGerontologyGeography

Résumé

récupéré en direct d'OpenAlex

INTRODUCTION: Rural recruitment and retention of physicians is a global issue. The Faculty of Medicine at Memorial University of Newfoundland, Canada, was established as a rural-focused medical school with a social accountability mandate that aimed to meet the healthcare needs of a sparse population distributed over a large landmass as well as the needs of other rural and remote areas of Canada. This study aimed to assess whether Memorial medical degree (MD) and postgraduate (PG) programs were effective at producing physicians for their province and rural physicians for Canada compared with other Canadian medical schools. METHODS: This retrospective cohort study included medical school graduates who completed their PG training between 2004 and 2013 in Canada. Practice locations of study subjects were georeferenced and assigned to three geographic classes: Large Urban; Small City/Town; and Rural. Analyses were performed at two levels. (1) Provincial level analysis compared Memorial PG graduates practicing where they received their MD and/or PG training with other medical schools who are the only medical school in their province (n=4). (2) National-level analysis compared Memorial PG graduates practicing in rural Canada with all other Canadian medical schools (n=16). Descriptive and bivariate analyses were performed. RESULTS: Overall, 18 766 physicians practicing in Canada completed Canadian PG training (2004-2013), and of those, 8091 (43%) completed Family Medicine (FM) training. Of all physicians completing Canadian PG training, 1254 (7%) physicians were practicing rurally and of those, 1076 were family physicians. There were 379 Memorial PG graduates and of those, 208 (55%) completed FM training and 72 (19%) were practicing rurally, and of those practicing rurally, 56 were family physicians. At the national level, the percentage of all Memorial PG graduates (19.0%) and FM PG graduates (26.9%) practicing rurally was significantly better than the national average for PG (6.4%, p<0.000) and FM (12.9%, p<0.000). Among 391 physicians practicing in Newfoundland and Labrador (NL), 257 (65.7%) were Memorial PG graduates and 247 (63.2%) were Memorial MD graduates. Of the 163 FM graduates, 148 (90.8%) were Memorial FM graduates and 118 (72.4%) were Memorial MD graduates. Of the 68 in rural practice, 51 (75.0%) were Memorial PG graduates and 31 (45.6%) were Memorial MD graduates. Of the 41 FM graduates in rural practice, 39 (95.1%) were Memorial FM graduates and 22 (53.7%) were Memorial MD graduates. Two-sample proportion tests demonstrated Memorial University provided a larger proportion of its provincial physician resource supply than the other four single provincial medical schools, by medical school MD for FM (72.4% vs 44.3%, p<0.000) and for overall (63.2% vs 43.5% p<0.000), and by medical school PG for FM (90.8 % vs 72.0%, p<0.000). CONCLUSION: This study found Memorial University graduates were more likely to establish practice in rural areas compared with the national average for most program types as well as more likely to establish practice in NL compared with other single medical schools' graduates in their provinces. This study highlights the impact a comprehensive rural-focused social accountability approach can have at supplying the needs of a population both at the regional and rural national levels.

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)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,514
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

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

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 Opus0,051
Tête enseignante GPT0,379
Écart entre enseignants0,328 · 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.

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

Citations16
Publié2018
Routes d'admission2
Résumé présentoui

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