Notice bibliographique
Résumé
Gregory P. Marchildon and Renee Torgerson, Nunavut: A Health System Profile. Montreal: McGill-Queens University Press, 2013.178 pages. ISBN 978-0-7735-4148-1. $29.95 paperback.On April 1,1999, against a backdrop of snow, ice, Northern lights and Southern dominance, Canada's newest territory, Nunavut was formed. In their own land the Inuit people could now begin the decolonization process from White appropriation and establish a governance model that would help to secure their land, culture and beliefs for future generations. Part of this model is the complex healthcare system which Gregory Marchildon and Renee Torgerson chose to research.Marchildon is a known expert in health systems. He is a professor in the Graduate School of Public Policy at the University of Regina and also holds a Canada Research Chair in Public Policy and Economic History. Renee Torgerson is a healthcare researcher with extensive experience in both academic and applied health services. In 2009 and the early part of 2010, the authors travelled to ''almost all of Nunavut's 24 hamlets and held key informant interviews with department staff and front-line providers, as well as, conducted an extensive inventory of services (x). The knowledge collected during this timeframe provided the base elements of study under review.The methodology used to framework the study was adapted to the Canadian context, the approach bears some resemblance to the template used in health-system-in-transition (HiT) country studies published by the WHO [World Health Organization] Regional Office for Europe on behalf of the European Observation on Health Systems and Policies (ix-x). In addition to unpacking the current healthcare system of delivery, the study presents key information about the health status of the people of Nunavut and the factors that explain why the territory has the costliest healthcare system in Canada.The research from this book provides a comprehensive study of the Nunavut health system, from its challenges to its triumphs since the repatriation of the land and governance back to the Inuit people ten years ago.Some of the statistics captured in the data around social determinants of health and health outcomes are staggering and are key elements to take into consideration for healthcare planning. For example, Nunavut has the youngest population of any territory or province and over 50 percent of Nunavut's residents are under 25 years of age, but almost 75 percent of the working-age Inuit population is unqualified for readily available employment because of lack of education (13,14). Overcrowding and poor housing have greatly impacted the overall health of Inuit children: they suffer from extremely high rates of illness, hospitalization, and death due to respiratory illnesses (21). And sadly, given that Nunavut has a suicide rate that is amongst the highest in the world (110); suicide has become an area of intensive study by various external researchers (110).The first chapter explores Inuit health in comparison to the Northwest Territories, Yukon and the Canadian average. Chapter two discusses the organizational structures of the current health system, while the third chapter discusses health benefits, funding and expenditures and the fourth, the unique health infrastructure which provides services over a large land base with no accessible roads from the north to the south or between communities. …
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.
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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 | 0,002 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 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 | 0,000 |
| 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 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 ».