Health equity and rurality in Northern Ontario
Notice bibliographique
Résumé
Background: The current climate in Ontario, Canada is one where access to health and social \nservices, healthcare experience and health/social outcomes vary widely across the province. The \nexisting health disparities in Ontario disproportionately affect those living in rural and northern \nareas. Current indicators used to measure this variability have been developed in the context of \nhealth systems in more densely populated areas and may not be relevant for more rural and \nremote geographic areas. As such, the objectives of this thesis were: (1) to develop a health \nequity measurement approach specific to Northern Ontario based on input from Northern Ontario \nhealth decision-makers, and (2) to operationalize a rurality measurement approach for Northern \nOntario. \nMethods: This two-phase exploratory sequential mixed methods study included a qualitative \ninquiry followed by a descriptive rurality measurement. The first phase explored health equity \nmeasurement in the context of Northern Ontario through in-depth interviews with Northern \nOntario health equity key informants. The resulting thematic analysis informed a proposed \nNorthern Ontario health equity measurement approach and the rurality stratifier exploration in \nphase-two. The second phase included a descriptive analysis using secondary data. The two \nrurality measurement approaches included were Statistical Area Classification Type and the \nRemoteness Index. Chi -squared tests for independence were used to assess the level of \nassociation between all classification methods including alternate categorization approaches \nwithin the Remoteness Index measure. \nResults: The thematic analysis in phase-one revealed four health equity indicators of relevance to \nNorthern Ontario: infant mortality, overall mortality, perceived health status, and satisfaction of \nhealth care received. Furthermore, two stratifiers were identified as uniquely important to \nmeasuring health equity in Northern Ontario contexts. These two stratifiers included geographic \nposition (rurality), as well as material welfare (income). The descriptive analysis of the rurality \nstratifier in phase-two recommended two methods of categorization using the Remoteness Index \nto consider as a complement or replacement to the Statistical Area Classification Type approach. \nConclusion: This exploration of health equity measurement in the context of Northern Ontario \nproved to be a feasible and productive way to engage key informants in health equity \nindicator/stratifier selection and recommendation. Certain health equity stratifiers – including \nrurality – are elusive to define and measure; however, the Statistical Area Classification Type \nand Remoteness Index should both be considered as rurality measures in Northern Ontario.
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 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 | 0,001 | 0,001 |
| 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 ».