Changing Landscapes: Impacts of Health Care System Transformation in Rural and Indigenous Communities in Canada
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Notice bibliographique
Résumé
This dissertation is about Indigenous and settler health, wellbeing and health policy in rural Manitoba. Across Canada, both sweeping and incremental provincial health system changes have profound effects on marginalized communities facing existing health inequities, including rural settler and Indigenous peoples. Increasingly, the centralization of provincial health care systems has led to the elimination of health services within rural settings. The research I present in this dissertation arose from advocacy efforts in a rural community in southwest Manitoba. The community sought representation and recognition in health decision-making in the midst of the largest health care system transformation in provincial history and called for local research production. The community-led study grew to the larger inquiry and analysis presented here, including a First Nation and Métis community, which were both affected by the transformation. The objectives of this dissertation were to analyze the ideas and structures used to inform provincial decisions, and to understand community experiences of rural health care before and during system transformation. As a settler researcher, I undertake an anti-colonial, strengths-based, community-engaged approach to research, developed through ongoing relationship with the community. In addition to a critical thematic analysis of key policy documents, semi-structured interviews were conducted with settler, First Nations, and Métis community members and service providers regarding their experiences within the health care system, their perceptions of change and the impacts of transformation on health and wellbeing. Arising themes include the importance of relational health care relationships in determining wellbeing, and the sense that the government undertook dehumanized decision-making in developing and implementing health system change. This dissertation concludes with policy recommendations for provincial governments, including the prioritization of community voices, and the visibility and involvement of rural and Indigenous peoples in health system decision-making.
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| 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 | 0,000 |
| 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 découle