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Enregistrement W2565087503 · doi:10.1182/blood.v108.11.3359.3359

Total Annual Costs of Infused Iron Chelation Therapy in the United States.

2006· article· en· W2565087503 sur OpenAlexaff
K Payne, Marie‐Pierre Desrosiers, Irina Proskorovsky, K Ishak, N Lordan, J.F. Baladi

Notice bibliographique

RevueBlood · 2006
Typearticle
Langueen
DomaineMedicine
ThématiqueHemoglobinopathies and Related Disorders
Établissements canadiensCanadian Association of Radiation Oncology
Organismes subventionnairesnon disponible
Mots-clésMedicineLife expectancyEmergency medicinePediatricsIntensive care medicinePopulationEnvironmental health

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Patients suffering from thalassemia or sickle cell disease (SCD) who are undergoing chronic blood transfusions are at risk for iron overload which, if not treated by iron chelation therapy (ICT), can create serious organ damage and reduce life expectancy. Deferoxamine (DFO), an ICT agent, has to be infused for 8–10 hours, 5–7 times a week. Although the clinical need for ICT is clearly established, less is known about the economic burden of DFO treatment. Aim: To estimate the total annual costs of DFO ICT by identifying resource utilization and compliance data from medical chart reviews and patient interviews, supplemented by the medical literature. Methods: A naturalistic cohort study of the resource utilization and quality of life burden of infused ICT in the usual care setting (acute hospital and out-patient) was conducted in four US treatment centers between September and December 2005. A total of 49 patients (40 thalassemia; 9 SCD; 50% male; mean age 28 ± 10 years) undergoing infused ICT participated. Data from patients’ initial and most recent years of ICT, related to prescribed ICT regimens, infusions performed in a health care setting, and monitoring, were abstracted from the charts. In patient interviews, compliance to ICT as well as resource utilization related to ICT equipment, supplies and home delivery were queried. To supplement data not otherwise obtained from the study, a review of the literature was also performed. Unit costs (2004/2005 USD) were applied. Results: The estimated mean weighted annual cost was $70 for ICT home delivery, $3,293 for equipment, $562 for monitoring and $7,232 for home health care. The mean weighted annual cost for in-patient infusions were estimated at $6,222 for the initial year and at $1,766 for subsequent years of ICT administration. The annual per patient mean cost of the drug alone, adjusted for compliance, ranged from $9,060 to $18,857 (when drug used as prescribed: $9,060 to $25,691) depending on the age and weight of the patient (mean weighted annual cost: $17,081 when adjusted by compliance and $23,466 when drug was used as prescribed). Thus, total mean weighted per patient treatment costs were estimated at $34,460 for the initial year and at $30,004 for subsequent years of ICT. When only ancillary costs were considered, the mean weighted cost per infusion for the initial year of ICT was estimated at $86 and at $64 for subsequent years. When home health care costs were excluded, the mean weighted ancillary costs per infusion were estimated at $50 for the initial year and at $28 for subsequent years of ICT. The total annual costs of infused ICT have likely been underestimated because treatment costs for the clinical consequences of poor adherence to DFO and lost productivity were not included. Conclusions: Cost estimates of ICT are higher in the initial year than in subsequent years of ICT. Total costs of ICT appear substantial and well exceed the cost of DFO alone. The drug cost only accounts for 34% to 77% of annual costs of DFO treatment (50% and 57% of total mean-weighted annual cost of initial and subsequent years of ICT respectively).

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,124
Score d'incertitude au seuil0,200

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,006
Tête enseignante GPT0,226
Écart entre enseignants0,220 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations7
Publié2006
Routes d'admission1
Résumé présentoui

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