Examining unmet healthcare needs by immigration status among Canadian adults
Notice bibliographique
Résumé
Immigrants have 18% lower risk of reporting unmet healthcare needs compared to non-immigrants which can be explained by the “healthy immigrant effect”, whereby the health of immigrants is better at the time of arrival and gradually deteriorates and converges with the Canadian-born population. People with high unmet healthcare needs are higher utilizers of health services. There was no information on how (and if) unmet healthcare needs predict health service utilization and its impact on life satisfaction among immigrant populations and if the relationship varies by length of stay in Canada. The study objectives were to: 1) estimate and compare reported unmet healthcare needs by immigration status. 2) estimate and compare reasons for reported unmet healthcare needs by immigration status; 3) examine relationship between unmet healthcare needs and health service utilization by immigration status. 4) examine relationship between unmet healthcare needs and life satisfaction by immigration status. 5) determine if there is a significant association between health service utilization and life satisfaction by immigration status, controlling for unmet healthcare needs. This was a secondary analysis of cross-sectional data from the Canadian Community Health Survey, cycle 2014 master data file. Individuals who were 18 years of age and older at the time of survey were included and divided into three groups based upon their years of residence in Canada: 1) recent immigrants (≤ 5 years); 2) Long-term immigrants (>5 years); and 3) Canadian-born population. Results indicated that Canadian-born population reported a significantly higher proportion of unmet healthcare needs followed by recent-immigrants and long-term immigrants. “Cost” was the most commonly reported reason for unmet healthcare need among recent immigrants and third most common among long-term immigrants and non-immigrants. Individuals with unmet healthcare needs were more likely to use physician services and reported low life satisfaction after adjusting for demographics and health-related characteristics. Individuals who used dental services were less likely to report unmet healthcare needs and low life satisfaction after adjusting for demographics and health-related characteristics. This study focuses on challenges accessing health services, especially, by immigrant population and has the potential to inform policy implications to address barriers accounting for health inequity.
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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 | 0,002 | 0,004 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,001 | 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 ».