Comparative Effectiveness Research (CER) Policies and the Potential Threat to Pharmaceutical Innovation

J. Vernon, J. Golec, Stedman Stevens
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Abstract

As health care reform evolves and takes shape, comparative effectiveness research appears to be one of the central topics on the national health care agenda. Over the past couple of years, comparative effectiveness has been explicitly incorporated in over ten bills. For example, the passage of the American Recovery and Reinvestment Act of 2009 authorized $1.1 billion for comparative effectiveness research. Comparative effectiveness, when costs are formally considered, offers the hope of efficient resource allocation within U.S. health care markets. However, the future operationalization and implementation of comparative effectiveness is uncertain, and there exist potentially negative, and unintended, consequences under certain scenarios. One example, and the focus of our paper, is pharmaceutical innovation. Incentives for pharmaceutical R&D could be affected if drug development costs increase as a result of firms having to bear, directly or indirectly, the costs of running larger, randomized, head-to-head comparative effectiveness trials. While this may, or may not, be the case with current and future comparative effectiveness legislation, and its subsequent implementation, the potential consequences for pharmaceutical innovation warrant recognition. This is purpose of the paper. To achieve this goal, we develop several models of clinical trial design, drug development costs, and R&D investment. By example, we shed light on the causal links between the models and the ways in which industry R&D investment can be affected.
比较有效性研究(CER)政策及其对药品创新的潜在威胁
随着卫生保健改革的发展和形成,比较有效性研究似乎成为国家卫生保健议程上的中心议题之一。在过去的几年里,比较效力已经被明确地纳入了十多个法案。例如,2009年通过的《美国复苏与再投资法案》授权11亿美元用于比较有效性研究。当正式考虑成本时,相对有效性为美国医疗保健市场内有效的资源配置提供了希望。然而,相对有效性的未来运作和实施是不确定的,并且在某些情况下存在潜在的负面和意想不到的后果。其中一个例子是医药创新,这也是我们论文的重点。如果制药公司不得不直接或间接地承担进行更大规模、随机的、面对面的比较有效性试验的成本,从而导致药物开发成本增加,那么药物研发的激励可能会受到影响。虽然这可能是,也可能不是,当前和未来的比较有效性立法,及其后续实施的情况下,药物创新的潜在后果值得承认。这就是本文的目的。为了实现这一目标,我们开发了几种临床试验设计、药物开发成本和研发投资的模型。通过实例,我们揭示了模型之间的因果关系以及影响产业研发投资的方式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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