Notice bibliographique
Résumé
Back to table of contents Previous article Next article Professional NewsFull AccessPatients Abandon Antidepressants, Deterred by High CostsRich DalyRich DalyPublished Online:19 Nov 2010https://doi.org/10.1176/pn.45.22.psychnews_45_22_018AbstractAn increasing number of insured patients with diagnosed depression are leaving their prescriptions unretrieved at the pharmacy counter, according to a recent analysis.A review of private-insurance claims data released to Psychiatric News showed that so-called abandonment increased from a little more than 3 percent of all antidepressant prescriptions (brand name and generic) tracked in 2008 to more than 4 percent of such prescriptions in the first half of this year. The data were collected by Wolters Kluwer Pharma Solutions, a health care data company.The rising rate of antidepressant abandonment came even as the total number of prescriptions written for antidepressants increased from 2008 to 2009 among private-insurance beneficiaries by 2.9 percent, to a total of about 240,000 new antidepressant prescriptions. Data were unavailable for the first half of 2010.Among all categories of brand-name drugs only, the rate of abandonment for new prescriptions increased from 6.5 percent at the beginning of 2008 to nearly 10 percent in the second quarter of 2010.Data on abandonment rates were derived from an analysis of 80 million claims that pharmacies submit each month for payment, or about 40 percent of the total market. Wolters Kluwer collects the data from more than 24,000 independent and chain pharmacies to help pharmaceutical manufacturers assess the reasons for lost sales.Patients' failure to pick up their prescribed antidepressants is being driven, in part, by rising costs for the medications, according to Wolters Kluwer officials and a mental health researcher.The data on abandoned antidepressant rates were similar to those for unfilled prescriptions reported by Medicare beneficiaries in a 2008 study. Jae Kennedy, Ph.D., an associate professor in the Department of Health Policy and Administration at Washington State University, and colleagues found that more than 5 percent of prescriptions that beneficiaries reported not filling were for antidepressants."Our research shows that an increasing number of patients in the United States are unable to fill their prescriptions due to medication cost, including critical prescriptions for chronic-disease management like antidepressants," Kennedy told Psychiatric News.Jesse Wright, M.D., Ph.D., a professor of psychiatry and behavioral sciences at the University of Louisville, said in an interview that because of the large number of low-cost antidepressant generics now available, cost should be less of a factor in whether patients decide to fill their prescriptions. He advised clinicians to raise the issue of affordability with their patients and prescribe a generic substitute when suitable."I wouldn't have been surprised if the [Wolters] data had found higher [abandonment] rates," he said.Kennedy gave similar advice to Wright's, noting that clinicians should routinely ask patients about their prescription insurance coverage. If patients cannot afford the medication, psychiatrists can suggest alternatives for obtaining it, such as programs offered by pharmaceutical manufacturers that provide medications for free or at low cost.The 2008 Kennedy study, "Unfilled Prescriptions of Medicare Beneficiaries: Prevalence, Reasons, and Types of Medicines Prescribed," is posted at <http://www.amcp.org/data/jmcp/JMCPMaga_553-560.pdf>. ISSUES NewArchived
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) | 0,001 | 0,002 |
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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».