Publicly Funded Oral Chronic Hepatitis B Treatment Patterns in Ontario over 16 Years: An Ecologic Study
Notice bibliographique
Résumé
BACKGROUND: Reimbursement for the use of hepatitis B virus (HBV) treatments has not been previously reported for public payers. OBJECTIVE: To describe the number of users and total cost of HBV treatments over the last 16 years among residents of Ontario, Canada, who were covered by the public drug program. METHODS: We conducted a repeated cross-sectional study for HBV treatments reimbursed by the public drug program in Ontario from January 1, 2000, to December 31, 2015. We projected total spending to 2020 based on current utilization trends. RESULTS: HBV drug users per year increased 30-fold, from 132 users in 2000 to 4,035 users in 2015. Total spending on HBV treatments increased 150-fold, from $136,368 annually in 2000 to $21.0 million in 2015. The spending on HBV agents is projected to increase by 65%, with an estimated drug cost of $34.6 million by 2020. CONCLUSIONS: Although not reimbursed as first-line therapy, tenofovir disoproxil fumarate has become the most commonly reimbursed HBV treatment and was associated with an increase in HBV treatment use and total spending. Results of this study found that rapid growth of HBV treatments led to a sustained increase in spending for public payers in Ontario. DISCLOSURES: This study was funded by grants from the Ontario Ministry of Health and Long-Term Care (MOHLTC) and Ontario Strategy for Patient-Orientated Research (SPOR) Support Unit, which is supported by the Canadian Institutes of Health Research and the Province of Ontario. This study was also supported by the Institute for Clinical Evaluative Sciences (ICES), a non-profit research institute sponsored by the Ontario MOHLTC. The opinions, results, and conclusions reported in this article are those of the authors and are independent from the funding sources. No endorsement by ICES or the Ontario MOHLTC is intended or should be inferred. Parts of this material are based on data and information compiled and provided by the Canadian Institute for Health Information (CIHI). However, the analyses, conclusions, opinions and statements expressed herein are those of the authors and not necessarily those of CIHI. Mamdani has received honoraria from Boehringer Ingelheim, Pfizer, Bristol-Myers Squibb, and Bayer. Janssen has received research support, consulting, and/or speaking fees from Gilead, Roche, Merck, AbbVie, Bristol-Myers Squibb, Arbutus, Janssen, and MedImmune. No other authors have any conflicts of interest to declare.
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 | 0,001 | 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) | 0,005 | 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 ».