New Immigrant Health Professional’s Individual, Societal and Economic Impact of Ryerson University’s Internationally Trained Medical Doctors (ITMDs) Bridging Program: Results from a Pilot Bridge Training Program at the Chang School of Continuing Education
Notice bibliographique
Résumé
Although Canada is home to a large number of internationally educated health professionals, their skills and experiences are grossly underutilized in the Canadian healthcare landscape. Barriers to medical practice are pervasive, and as a result the majority of internationally trained medical doctors (ITMDs) work in “survival” jobs significantly below their skill level. The pilot ITMD Bridging Program was developed to provide an alternative path for ITMDs by providing the skills and competencies required for non-licensed health sector employment, ultimately aiming to improve integration of ITMDs into the Canadian workforce. This secondary research evaluates the ITMD Bridging Program by assessing the impact of the program at both individual and societal levels.Qualitative and quantitative data were used to evaluate the individual and societal impact of the program. Secondary data from participants’ entry and exit surveys, as well as key informant interviews conducted with ITMDs upon program completion were used for the analysis. The economic impact of the program and its overall utility to the economy of Ontario were assessed through literature review and social rate of return analysis.ITMDs program participants reported substantial improvements in skills related each of the core courses including health research methods, health informatics and data management, fundamentals of project management, as well as healthcare professionals communication and leadership skills. ITMDs also perceived the program to be a viable option to address human potential waste, enhance the economy, develop individual capacity building, and alleviate frustrations associated with labour market exclusion. The program is also economically viable at the societal level, and represents a rate of return of 6.52%.The ITMD Bridging Program has demonstrated that providing non-licensed health sector employment is a viable option for policymakers to consider in their efforts to address the current brain waste in the Ontario healthcare sector. Bridging programs similar to the ITMD Bridging Program have the capacity to impact individual outcomes of ITMDs, the economic landscape in Ontario, and Canada at large.
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 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 | 0,001 |
| 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 | 0,001 | 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 ».