Out-of-pocket spending on drugs and pharmaceutical products and cost-related prescription non-adherence among Canadians with chronic disease.
Notice bibliographique
Résumé
BACKGROUND: Approximately one-third of Canadians' prescription medication costs are paid directly out-of-pocket. This study attempts to determine if out-of-pocket spending greater than 5% of household income on drugs and pharmaceutical products is associated with cost-related prescription non-adherence among people with cardiovascular-related chronic conditions. DATA AND METHODS: The data are from the survey on Barriers to Care for People with Chronic Health Conditions. Three categories of out-of-pocket spending on drugs and pharmaceutical products as a percentage of household income were identified: 0%, more than 0% to less than 5%, and 5% or more. Log-binomial regression was used to investigate associations between category of out-of-pocket spending and cost-related non-adherence. RESULTS: In 2012, about 80% of people aged 40 or older who lived in British Columbia, Alberta, Saskatchewan or Manitoba and had cardiovascular-related chronic conditions reported out-of-pocket spending on drugs and pharmaceutical products; 4.8% reported out-of-pocket spending of at least 5% of their household income. These individuals were significantly older, more often lived in households with incomes less than $30,000, and more often reported multiple morbidities than did people whose out-of-pocket spending on drugs and pharmaceutical products was less than 5% of household income. When the results were adjusted for age and sex, people whose spending amounted to 5% or more of household income were almost three times as likely (prevalence rate ratio = 2.6) to report cost-related prescription non-adherence than were those spending less than 5%. INTERPRETATION: Spending at least 5% of household income on drugs and pharmaceutical products was significantly associated with cost-related prescription non-adherence. Additional data are required to determine if even lower levels of spending put individuals at risk of cost related non-adherence.
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) | 0,000 | 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 ».