Assessing health care in Canada's North: what can we learn from national and regional surveys?
Notice bibliographique
Résumé
BACKGROUND: Health surveys are a rich source of information on a variety of health issues, including health care. OBJECTIVES: This article compares various national and regional surveys in terms of their geographical coverage with respect to the Canadian North, especially their Aboriginal population, and the comparability of the survey contents relating to health care. METHODS: Three surveys were selected as providing some information on health care, with separate estimates for the North and its Aboriginal populations. They are the Canadian Community Health Survey (CCHS), Aboriginal Peoples Survey (APS) and the First Nations Regional Health Survey (RHS). RESULTS: Different surveys focus on different categories of Aboriginal people, and no single survey has covered all categories of Aboriginal people in the North consistently. RHS is targeted at the on-reserve First Nations population only. APS and CCHS sample the off-reserve First Nations population as well as Métis and Inuit. To achieve adequate sample size for North-South comparisons and comparisons among Aboriginal groups within the North, several cycles of the biennial/annual CCHS can be merged, producing a large data set with consistent coverage of topics using comparable questions. The content areas of the 3 surveys can be broadly categorized as health status, health determinants and health care. Substantial variation exists across surveys in the domains covered. There are also changes over time in terms of definitions, questions and even basic concepts. The available health care content of the 3 surveys focus on access to different types of health services, contact with different categories of health professionals, unmet health needs and the use of preventive services. Many important dimensions of health care are not covered. Not all these basic indicators are available for the North or its Aboriginal populations. CONCLUSIONS: A comprehensive survey of health care in the North with sufficient sample size to provide reliable estimates for its subpopulations - urban and remote, Aboriginal and non-Aboriginal, and First Nations, Inuit and Métis - would provide useful information to decision-makers and service providers. Analytical studies can also be conducted to investigate the correlations and interactions among health status, health determinants and health care and assess whether such relationships differ among the different population groups.
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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 | 0,000 |
| 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 | 0,001 |
| 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 ».