Determinants of self-rated health, minority status, and access to health services among official language minority older adults in Canada
Notice bibliographique
Résumé
Studies in countries across the globe and in Canada show that people from minority communities generally tend to be in poorer health, experience a greater burden of disease and disability than the general population. A 2008 World Health Organization (WHO) report on the Social Determinant of Health stressed that the high burden of disease and disability around the world is due to a great extent, to poor and unequal living conditions which are the consequence of deeper structural conditions such as poor social policies and programmes, inequitable economic structures, and deficient politics. In Canada, there is a growing body of evidence suggesting a negative impact of health disparities on Official Language Minority Communities (OLMCs), especially on Francophones outside of Quebec. In order to better describe and understand the situation of Official Language Minorities (OLMs), especially of Minority Francophone older adults living outside of Quebec, two national surveys were used: The 2006 Canadian post-census Survey on the Vitality of Official Language Minorities (SVOLM) and the 2007 Canadian Community Health Survey (CCHS). Descriptive, and multivariable analyses were conducted, followed by minority Francophone community members’ feedback on the findings. A qualitative analysis of provincial/territorial French-language (English in Quebec) services policies or legislations was subsequently conducted with an in-depth focus on the Government of Saskatchewan French-language Services Policy and an assessment of the potential impact of these policies on the health of OLM older adults. This study showed that minority Francophone older adults consistently rated their health more poorly than their counterparts in the general population but the study failed to demonstrate an association between OLM status and self-rated health, due to low representativity of the OLM population in the sample. However, the sense of belonging to, and vitality of minority community were constructs associated with better self-rated health for minority Francophone older adults while high concentration of minority group was associated with poorer self-rated health. Feedback from Francophone community members emphasized the detrimental role of assimilation, systemic and structural inequities, and unfavourable policies as contributing significantly to the low vitality of their communities and eventually to health disparities. Adopting new sampling approaches for OLMs, addressing minority Francophones’ contextual realities, enhancing access to health services in French, improving the linguistic environment, and developing more supporting policies, would help improve the condition of minority Francophone older adults in Canada.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,002 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 source (Gemma direct ou Codex distillé), 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 ».