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利用真实世界数据为医疗补助计划中的细胞和基因疗法的基于价值的合同提供信息。

Using Real-World Data to Inform Value-Based Contracts for Cell and Gene Therapies in Medicaid.

机构信息

Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.

Faculty of Pharmacy, Center for Health Technology Assessment and Pharmacoeconomic Research, University of Pecs, Pecs, Hungary.

出版信息

Pharmacoeconomics. 2024 Mar;42(3):319-328. doi: 10.1007/s40273-023-01335-x. Epub 2023 Nov 21.

Abstract

OBJECTIVE

High upfront costs and long-term benefit uncertainties of gene therapies challenge Medicaid budgets, making value-based contracts a potential solution. However, value-based contract design is hindered by cost-offset uncertainty. The aim of this study is to determine actual cost-offsets for valoctocogene roxaparvovec (hemophilia A) and etranacogene dezaparvovec (hemophilia B) from Colorado Medicaid's perspective, defining payback periods and its uncertainty from the perspective of Colorado Medicaid.

METHODS

This cost analysis used 2018-2022 data from the Colorado Department of Health Care Policy & Financing to determine standard-of-care costs and employed cost simulation models to estimate the cost of Medicaid if patients switched to gene therapy versus if they did not. Data encompassed medical and pharmacy expenses of Colorado Medicaid enrollees. Identified cohorts were patients aged 18+ with ICD-10-CM codes D66 (hemophilia A) and D67 (hemophilia B). Severe hemophilia A required ≥ 6 claims per year for factor therapies or emicizumab, while moderate/severe hemophilia B necessitated ≥ 4 claims per year for factor therapies. Patients were included in the cohort in the year they first met the criteria and were subsequently retained in the cohort for the duration of the observation period. Standard-of-care included factor VIII replacement therapy/emicizumab for hemophilia A and factor IX replacement therapies for hemophilia B. Simulated patients received valoctocogene roxaparvovec or etranacogene dezaparvovec. Main measures were annual standard-of-care costs, cost offset, and breakeven time when using gene therapies.

RESULTS

Colorado Medicaid's standard-of-care costs for hemophilia A and B were $426,000 [standard deviation (SD) $353,000] and $546,000 (SD $542,000) annually, respectively. Substituting standard-of-care with gene therapy for eligible patients yielded 8-year and 6-year average breakeven times, using real-world costs, compared with 5 years with published economic evaluation costs. Substantial variability in real-world standard-of-care costs resulted in a 48% and 59% probability of breakeven within 10 years for hemophilia A and B, respectively. Altering eligibility criteria significantly influenced breakeven time.

CONCLUSIONS

Real-world data indicates substantial uncertainty and extended payback periods for gene therapy costs. Utilizing real-world data, Medicaid can negotiate value-based contracts to manage budget fluctuations, share risk with manufacturers, and enhance patient access to innovative treatments.

摘要

目的

基因疗法的前期成本高和长期效益不确定给医疗补助计划带来了挑战,使得基于价值的合同成为一种潜在的解决方案。然而,基于价值的合同设计受到成本抵消不确定性的阻碍。本研究的目的是从科罗拉多州医疗补助计划的角度确定 valoctocogene roxaparvovec(血友病 A)和 etranacogene dezaparvovec(血友病 B)的实际成本抵消,并从科罗拉多州医疗补助计划的角度定义回报期及其不确定性。

方法

本成本分析使用了 2018 年至 2022 年来自科罗拉多州卫生保健政策和融资部的数据,以确定标准护理成本,并使用成本模拟模型估计如果患者从标准护理转向基因治疗,那么医疗补助的成本。数据涵盖了科罗拉多州医疗补助受保人的医疗和药房费用。确定的队列是患有 ICD-10-CM 代码 D66(血友病 A)和 D67(血友病 B)的 18 岁及以上患者。严重血友病 A 需要每年至少有 6 次因子治疗或emicizumab 的索赔,而中度/重度血友病 B 需要每年至少有 4 次因子治疗的索赔。患者在首次符合标准的当年被纳入队列,并在观察期内继续留在队列中。标准护理包括血友病 A 的因子 VIII 替代疗法/emicizumab 和血友病 B 的因子 IX 替代疗法。模拟患者接受 valoctocogene roxaparvovec 或 etranacogene dezaparvovec 治疗。主要措施是每年的标准护理成本、成本抵消以及使用基因疗法时的收支平衡时间。

结果

科罗拉多州医疗补助计划对血友病 A 和 B 的标准护理成本分别为每年 426,000 美元(标准差为 353,000 美元)和 546,000 美元(标准差为 542,000 美元)。对于符合条件的患者,用基因疗法替代标准护理可产生 8 年和 6 年的平均收支平衡时间,而使用实际成本则为 5 年,而使用已发表的经济评估成本则为 5 年。实际标准护理成本的大量变化导致血友病 A 和 B 的收支平衡时间在 10 年内有 48%和 59%的可能性。改变资格标准会显著影响收支平衡时间。

结论

实际数据表明基因疗法成本存在很大的不确定性和较长的回报期。医疗补助计划可以利用实际数据,通过基于价值的合同进行谈判,以管理预算波动,与制造商分担风险,并增强患者获得创新治疗的机会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ba7/10861602/38b7953d593c/40273_2023_1335_Fig1_HTML.jpg

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