估计基因治疗在美国的经济影响

Chi Heem Wong, Dexin Li, Nina Wang, J. Gruber, R. Conti, A. Lo
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引用次数: 6

摘要

我们对未来基因疗法对美国经济的潜在金融影响进行了实证评估。在确定了目前正在进行的109个晚期基因治疗临床试验后,我们估计了这些基因疗法治疗的新的和现有的相应疾病患者的数量,开发和应用新的数学模型来估计每种批准的基因疗法的质量调整生命年的增加。然后,我们模拟了这些疗法在15年内的上市价格和预期支出。在保守的假设下,我们的模拟结果表明,从2020年1月到2034年12月,预计总共有109万患者将接受基因治疗。预计这些疗法的年度支出峰值为253亿美元,从2020年1月到2034年12月的预计总支出为3060亿美元。假设未来基因治疗发展的线性速度符合过去的经验,在保守的假设下,我们的支出估计仅增长15.7%。作为对不同公共和私人支付者预期支出影响的代理,我们按接受治疗的年龄组分解估计的年度支出。由于经验表明,有年度预算限制的保险公司可能会限制患者获得预期受益的治疗,我们考虑各种支付方法,以确保即使在预算最有限的付款人投保的人中也能获得这些治疗。国家经济研究局工作论文系列的机构订阅者和发展中国家的居民可以在www.nber.org免费下载本文。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimating the Financial Impact of Gene Therapy in the U.S
We empirically assess the potential financial impact of future gene therapies on the US economy. After identifying 109 late-stage gene therapy clinical trials currently underway, we estimate the number of new and existing patients with corresponding diseases to be treated by these gene therapies, developing and applying novel mathematical models to estimate the increase in quality-adjusted life years for each approved gene therapy. We then simulate the launch prices and the expected spending for these therapies over a 15-year time horizon. Under conservative assumptions, the results of our simulation suggest that an expected total of 1.09 million patients will be treated by gene therapy from January 2020 to December 2034. The expected peak annual spending on these therapies is $25.3 billion, and the expected total spending from January 2020 to December 2034 is $306 billion. Assuming a linear pace of future gene therapy development fitted to past experience, our spending estimate increases by only 15.7% under conservative assumptions. As a proxy for the impact of expected spending on different public and private payers, we decompose the estimated annual spending by treated age group. Since experience suggests that insurers with annual budget constraints may restrict access to therapies with expected benefit to the patient, we consider various methods of payment to ensure access to these therapies even among those insured by the most budget-constrained payers.

Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.
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