Retaining graduates of non-metropolitan medical schools for practice in the local area: the importance of locally based postgraduate training pathways in Australia and Canada
Notice bibliographique
Résumé
INTRODUCTION: The objective of this study was to identify commonalities between one regionally based medical school in Australia and one in Canada regarding the association between postgraduate training location and a doctor's practice location once fully qualified in a medical specialty. METHODS: Data were obtained using a cross-sectional survey of graduates of the James Cook University (JCU) medical school, Queensland, Australia, who had completed advanced training to become a specialist (a 'Fellow') in that field (response rate = 60%, 197 of 326). Medical education, postgraduate training and practice data were obtained for 400 of 409 (98%) fully licensed doctors who completed undergraduate medical education or postgraduate training or both at the Northern Ontario School of Medicine (NOSM), Ontario, Canada. Binary logistic regression used postgraduate training location to predict practice in the school's service region (northern Australia or northern Ontario). Separate analyses were conducted for medical discipline groupings of general/family practitioner, general specialist and subspecialist (JCU only). RESULTS: For JCU graduates, significant associations were found between training in a northern Australian hospital at least once during postgraduate training and current (2018) northern Australian practice for all three discipline subgroups: family practitioner (p<0.001; prevalence odds ratio (POR)=30.0; 95% confidence interval (CI): 6.7-135.0), general specialist (p=0.002; POR=30.3; 95%CI: 3.3-273.4) and subspecialist (p=0.027; POR=6.5; 95%CI: 1.2-34.0). Overall, 38% (56/149) of JCU graduates who had completed a Fellowship were currently practising in northern Australia. For NOSM-trained doctors, a significant positive effect of training location on practice location was detected for family practice doctors but not for general specialist doctors. Family practitioners who completed their undergraduate medical education at NOSM and their postgraduate training in northern Ontario had a statistically significant (p<0.001) POR of 36.6 (95%CI: 16.9-79.2) of practising in northern Ontario (115/125) versus other regions, whereas those who completed only their postgraduate training in northern Ontario (46/85) had a statistically significant (p<0.001) POR of 3.7 (95%CI: 2.1-6.8) relative to doctors who only completed their undergraduate medical education at NOSM (28/117). Overall, 30% (22/73) of NOSM's general speciality graduates currently practise in northern Ontario. CONCLUSION: The findings support increasing medical graduate training numbers in rural underserved regions, specifically locating full specialty training programs in regional and rural centres in a 'flipped training' model, whereby specialty trainees are based in rural or regional clinical settings with some rotations to the cities. In these circumstances, the doctors would see their regional or rural centre as 'home base' with the city rotations as necessary to complete their training requirements while preparing to practise near where they train.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
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 tête enseignante, 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 ».