The impact of socio-economic status and interpersonal dimensions of care on attaining and maintaining healthy behaviours among primary care patients
Notice bibliographique
Résumé
Context: Attaining and maintaining health behaviours could significantly prevent and reduce the health burden associated with chronic illness. Given that family physicians are the first source of care for patients undifferentiated by disease or socio-demographics, the way they deliver care may play a significant role in improving population health. The premise underlying this research is that patient empowerment, effective interpersonal communication and patient-centered care can improve health behaviors among primary care patients, especially those coming from low socioeconomic groups. Objectives: 1) To determine whether the prevalence of healthy fruit/vegetable consumption, physical activity, alcohol intake and smoking differ systematically by socio-economic status for patients at one point in time. 2) To determine whether socio-economic status predicts the likelihood of attaining or maintaining healthy behavior after one year. 3) To determine whether patients' assessments of three interpersonal dimensions of care (physician empowerment, interpersonal communication skills and patient-centeredness) impact the likelihood of attaining or maintaining healthy behaviours after one year. 4) To determine whether the three interpersonal dimensions of care modify the effect of socio-economic status on attainment or maintenance of healthy behaviours. Methods: A cohort of 2456 patients, aged between 25-to-75 years, was recruited from waiting rooms of 12 clinics and by random digit dialing in four health networks in Quebec. Using annual self-administered questionnaires, socio-demographic information, healthcare experience, and health behaviors were elicited. Using current guidelines, we classified health behaviors into "meeting target" or being at "risky behavior". A cluster analysis was used to classify the study population into four socio-economic groups. Descriptive statistics and logistic regression analyses were used to determine those characteristics associated with the prevalence as well as changes in health behaviours. Results: There is a statistically significant gradient between socio-economic status and the prevalence of fruit and vegetables consumption and smoking with healthy behavior decreasing systematically with each decrease in socio-economic status. The highest socioeconomic group is most likely to maintain adequate physical activity after one year (OR 2.3, 95% CI: 1.2 â 4.2) and the lowest socio-economic group to maintain non-risky alcohol consumption (OR 0.3. 95% CI:0.2 â 0.7) but socio-economic status did not impact adoption of any behaviour. Of the interpersonal dimensions of care, only higher assessments of patient empowerment predict maintaining but only of healthy fruit and vegetable (OR 1.2, 95% CI: 1.0 â 1.5). Despite the gradient between assessment of empowerment and socio-economic status, the impact of empowerment does not vary statistically significantly by socio-economic status. Conclusion: In general, people from low socio-economic demographic have higher rates of smoking, lower rates of fruit and vegetable consumption and are less likely to maintain adequate levels of physical activity. Generic empowerment actions may have a positive impact on the maintenance of healthy behaviours, and every effort should be made to ensure that all socio-economic groups benefit from physicians' empowerment actions
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 | 0,000 | 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 | 0,001 |
| 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 ».