Evaluating the impact of novel oncology drug coverage through patient assistance programs in British Columbia (BC), Canada.
Notice bibliographique
Résumé
13 Background: Despite a universal public healthcare system, Canadian oncology patients often enroll in patient assistance programs (PAPs) through drug manufacturers to access oncology drugs that are awaiting funding decisions by national and provincial regulatory bodies. Our multicenter study evaluated the pharmacoeconomic and clinical impact of PAPs for cancer patients in BC. Methods: Eligible patients were diagnosed with cancer and enrolled in a PAP for an oncology drug between January 1, 2016 - December 31, 2019 in 3 BC centres. Charts were reviewed for treatment details and survival data. We referenced median overall survival (mOS) or median progression-free survival (mPFS) data from phase III trials. mPFS data was used if mOS was unavailable or not statistically significant. For each drug indication, the hazard ratio from trial data was multiplied by the mOS or mPFS of our cohort to estimate the mOS or mPFS if the drug was not received. Life-years gained (LYG) was defined as the difference between the actual mOS or mPFS in our cohort and the estimated mOS or mPFS if the drug was not received. Mean OS was used if median OS was not reached by the cut-off date January 1, 2021. Quality-adjusted life years (QALY) and cost per drug were obtained from the Canadian Agency for Drugs and Technologies in Health (CADTH). QALY gained per drug was calculated as QALY multiplied by LYG. Assuming $100,000 Canadian dollars (CAD) for 1 QALY gained (based on prior studies), the economic value of QALY gained was calculated as $100,000 CAD multiplied by QALY gained per drug. Results: Our cohort consisted of 1025 patients that accessed 40 oncology drugs via PAP. By the cut-off date, 290 patients continued on treatment while 735 had stopped, most often due to disease progression (69%) or toxicity (14%). 74 patients then accessed another drug in their second exposure to PAP, and 5 patients accessed drugs in their third exposure to PAP. Median time from Health Canada approval to public funding was 2.04 years (IQR 1.53 – 2.34). QALY gained per drug ranged from 0.007-2.997 years for OS and 0.001-1.339 years for PFS. This translated to a total of 268.3 QALY gained in OS and 117.6 QALY gained in PFS. In the first exposure group, total economic value gained from PAP was $26,788,512 for those with OS benefits, $11,763,571 for those with PFS benefits, and total drug costs were $94,150,774. In the second exposure group, total economic value gained was $566,253 for those with OS benefits, $947,134 for those with PFS benefits, and total costs were $4,917,017. In the third exposure group, $44,754 total economic value was gained and total costs were $931,207. Conclusions: Nearly $100 million CAD of non-public funding was required to bridge gaps between regulatory approval and public funding. The economic value and QALY gained from PAPs are substantial. Future studies should focus on strategies to optimize the funding process for novel cancer therapies.
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 | 0,025 | 0,021 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| 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 ».