Advancing health equity in cardiovascular care
Notice bibliographique
Résumé
Unacceptable and complex yet also often unintended and unexpected health inequities exist in cardiovascular care and outcomes.While prevalent across health care, professionals involved in cardiovascular health care should know and address the sources of these inequalities in practice and policy.This editorial provides a primer to do so. Health equityHealth equity is a principle underlying a commitment to reduce and even eliminate downstream disparities in and upstream determinants of health, including social and economic ones.Pursuing health equity means striving for the highest possible standard of health for all people, especially those at greatest risk of poor health outcomes.Accordingly, health equity is the state in which every person has a fair and just opportunity to realize their highest level of health. 1 Unlike health equality, which refers to equal health care for everyone, health equity aims to adjust healthcare resources based on need.Thus, equity refers to fairness in healthcare outcomes regardless of any social determinants of health. 1 Multiple determinants of healthKey social determinants of cardiovascular health include socioeconomic status, race and ethnicity, social support, culture and language, access to care, and residential environment. 2This also aligns with the notion that health has multiple determinants, including but beyond social determinants, such as genetic, behavioural, environmental, and physical factors. 2,3ccordingly, the health of people and communities is influenced by a myriad of physical, social, and economic conditions, including highly interrelated, clustered, and compounding social, cultural, and structural factors affecting individuals and communities.For example, educational attainment is strongly linked to individual and neighbourhood deprivation and low health literacy. 4People from low socioeconomic areas are more likely to undertake behaviour and have risk factors associated with cardiovascular disease, such as physical inactivity, smoking, diabetes, hypertension, and a high body mass index. 4,5Given upstream factors such as neighbourhood and household poverty and unequal access to education and health care are also associated with premature cardiovascular disease, patients from low socioeconomic areas, while at highest risk from multiple determinants, are ironically less likely to access and benefit from effective health care.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,020 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,005 | 0,007 |
| Bibliométrie | 0,001 | 0,001 |
| 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 | 0,004 |
| 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 ».