Abstract P149: Ideal Cardiovascular Health is Associated With the Characteristics of and Better Access to Primary Care in a Publicly Funded Healthcare System
Notice bibliographique
Résumé
Background: Cardiovascular health (CVH) and CVD prevention remains a top public health priority across North America. The health of Canadians is largely accredited to the publicly funded healthcare system, which affords “free” healthcare to all its citizens. However, there is little evidence demonstrating whether the characteristics of and access to primary care by Canadians directly impacts their likelihood of ideal CVH. Objective: To examine the association between ideal CVH and the characteristics of and access to primary care in Canadians. Data and Methods: This study is a cross-sectional design using adult data from the Canadian Community Health Survey (CCHS) 2015-2016 database. The CCHS is a nationwide, nationally representative survey that collects information on the health status, health care access and utilization, and health determinants of the Canadian population. CVH, defined using the AHA CVH Index (CVHI), was determined using self-reported responses in CCHS. Weighted logistic regression was performed to examine the association between ideal CVH and the characteristics of and access to primary care, including having regular care, receiving coordinated care, ER use and access to routine care. Models were also adjusted for individual characteristics known to affect CVH. Results: The majority of the population were females (51%), aged 40-60 (37%), with tertiary education (64%) and of the White race (79%). Overall, 19% of the population had ideal CVH (ideal status in 6-7 CVHI factors), representing approximately 6 million individuals nationwide. Individuals reported having a regular primary healthcare provider (82%), insurance for prescription medication (76%), high coordination in their healthcare between health professionals (10%), difficulties in accessing routine care in the past 12 months (3%). The likelihood of ideal CVH were highest in those who reported having: a regular provider (OR 1.11, 95% CI 1.05-1.17), higher coordination of care (OR 1.10, 95% CI 1.01-1.20) and using the ER less frequently (OR 0.90, 95% CI 0.80-0.95). After controlling for age, sex and race, only having a regular provider (OR 1.11, 95% CI 1.02-1.20) and not reporting difficulties in accessing routine care in the past 12 months (OR 1.02, 95% CI 1.01-1.04) were significantly associated with ideal CVH. Conclusion: Findings from this study suggest that individuals experiencing better primary healthcare, including having a regular primary care physician or having less difficulty accessing care, are more likely to have ideal CVH than those experiencing poor primary healthcare. Further studies should investigate policies that promote better primary healthcare as interventions for preventing CVD and improving CVH.
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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 | 0,001 | 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 | 0,000 | 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 ».