From pipelines to pathways: the Memorial experience in educating doctors for rural generalist practice
Notice bibliographique
Résumé
CONTEXT: This report describes the community context, concept and mission of The Faculty of Medicine at Memorial University of Newfoundland (Memorial), Canada, and its 'pathways to rural practice' approach, which includes influences at the pre-medical school, medical school experience, postgraduate residency training, and physician practice levels. Memorial's pathways to practice helped Memorial to fulfill its social accountability mandate to populate the province with highly skilled rural generalist practitioners. Programs/interventions/initiatives: The 'pathways to rural practice' include initiatives in four stages: (1) before admission to medical school; (2) during undergraduate medical training (medical degree (MD) program); (3) during postgraduate vocational residency training; and (4) after postgraduate vocational residency training. Memorial's Learners & Locations (L&L) database tracks students through these stages. The Aboriginal initiative - the MedQuest program and the admissions process that considers geographic or minority representation in terms of those selecting candidates and the candidates themselves - occurs before the student is admitted. Once a student starts Memorial's MD program, the student has ample opportunities to have rural-based experiences through pre-clerkship and clerkship, of which some take place exclusively outside of St. John's tertiary hospitals. Memorial's postgraduate (PG) Family Medicine (FM) residency (vocational) training program allows for deeper community integration and longer periods of training within the same community, which increases the likelihood of a physician choosing rural family medicine. After postgraduate training, rural physicians were given many opportunities for professional development as well as faculty development opportunities. Each of the programs and initiatives were assessed through geospatial rurality analysis of administrative data collected upon entry into and during the MD program and PG training (L&L). Among Memorial MD-graduating classes of 2011-2020, 56% spent the majority of their lives before their 18th birthday in a rural location and 44% in an urban location. As of September 2016, 23 Memorial MD students self-identified as Aboriginal, of which 2 (9%) were from an urban location and 20 (91%) were from rural locations. For Year 3 Family Medicine, graduating classes 2011 to 2019, 89% of placement weeks took place in rural communities and 8% took place in rural towns. For Memorial MD graduating classes 2011-2013 who completed Memorial Family Medicine vocational training residencies, (N=49), 100% completed some rural training. For these 49 residents (vocational trainees), the average amount of time spent in rural areas was 52 weeks out of a total average FM training time of 95 weeks. For Family Medicine residencies from July 2011 to October 2016, 29% of all placement weeks took place in rural communities and 21% of all placement weeks took place in rural towns. For 2016-2017 first-year residents, 53% of the first year training is completed in rural locations, reflecting an even greater rural experiential learning focus. LESSONS LEARNED: Memorial's pathways approach has allowed for the comprehensive training of rural generalists for Newfoundland and Labrador and the rest of Canada and may be applicable to other settings. More challenges remain, requiring ongoing collaboration with governments, medical associations, health authorities, communities, and their physicians to help achieve reliable and feasible healthcare delivery for those living in rural and remote areas.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,013 | 0,005 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,001 | 0,012 |
| Intégrité de la recherche | 0,002 | 0,007 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,012 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».