谷歌浏览器插件
订阅小程序
在清言上使用

Examining the Association Between Oncology Drug Clinical Benefit and the Time to Public Reimbursement

Cancer medicine(2021)

引用 5|浏览12
暂无评分
摘要
Abstract Background We examined if oncology drug indications with high clinical benefit, as measured by the American Society of Clinical Oncology Value Framework (ASCO‐VF) and European Society for Medical Oncology Magnitude of Clinical Benefit Scale (ESMO‐MCBS), received public reimbursement status faster than those with lower clinical benefit from the time of pan‐Canadian Oncology Drug Review (pCODR) recommendation. Methods Oncology drug indications submitted to pCODR between July 2011 and October 2018 were examined. Included indications had a regulatory approval date, completed the pCODR review process, received a positive pCODR recommendation, and been funded by at least one province. Trials cited for clinical efficacy were used to determine the clinical benefit (per ASCO‐VF and ESMO‐MCBS) of drug indications. Results Eighty‐four indications were identified, yielding 65 ASCO‐VF and 50 ESMO‐MCBS scores. The mean ASCO‐VF and ESMO‐MCBS scores were 44.9 (SD = 21.1) and 3.3 (SD = 1.0), respectively. The mean time to provincial reimbursement from pCODR recommendation was 13.2 months (SD = 9.3 months). Higher ASCO‐VF and ESMO‐MCBS scores had low correlation with shorter time to reimbursement, (ρ = −0.21) and (ρ = 0.24), respectively. In the multivariable analyses, ASCO‐VF (p = 0.40) and ESMO‐MCBS (p = 0.31) scores were not significantly associated with time to reimbursement. Province and year of pCODR recommendation were associated with time to reimbursement in both ASCO and ESMO models. Conclusions Oncology drug indications with higher clinical benefit do not appear to be reimbursed faster than those with low clinical benefit. This suggests the need to prioritize oncology drug indications based on clinical benefit to ensure quicker access to oncology drugs with the greatest benefits.
更多
查看译文
关键词
clinical benefit,oncology drugs,pCODR,prioritization,reimbursement
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要