激励
业务
食品药品监督管理局
顺从(心理学)
风险分析(工程)
斯塔克伯格竞赛
公共经济学
营销
经济
微观经济学
心理学
社会心理学
作者
Liang Xu,Hui Zhao,Nicholas C. Petruzzi
标识
DOI:10.1287/msom.2019.0822
摘要
Problem Definition: In 1992, FDA instituted the accelerated approval pathway (AP) to allow promising drugs to enter the market based on limited evidence of efficacy, thereby permitting manufacturers to verify true clinical benefits through post-market studies. However, most post-market studies have not been completed as promised. We address this non-compliance problem. Academic/Practical Relevance: The prevalence of this non-compliance problem poses considerable public health risk, thus compromising the original purpose of a well-intentioned AP initiative. We provide an internally consistent and implementable solution to the problem through a comprehensive analysis of the myriad complicating factors and trade-offs facing FDA. Methodology: We adopt a Stackelberg framework in which the regulator, which cannot observe the manufacturer’s private cost information or level of effort, leads by imposing a post-market study deadline. The profit-maximizing manufacturer then follows by establishing its level of effort to invest in its post-market study. In establishing its deadline, the regulator optimizes the trade-off between providing public access to potentially effective drugs and mitigating public health risks from ineffective drugs. Results: We develop a deadline-dependent user fee menu as a screening mechanism that establishes an incentive for manufacturer compliance. We show that its effectiveness in inducing compliance depends fundamentally on the enforceability of sanction, a drug-specific measure that indicates how difficult it is to withdraw an unproven drug from the market, and the drug’s success probability: The higher is either, the higher is the probability that the mechanism induces compliance. Managerial Implications: We synthesize and distill the salient trade-offs and nuances facing FDA’s non-compliance problem and provide an implementable solution. We quantify the value of the solution as a function of a drug’s success probability and enforceability. From public policy perspective, we provide guidance for FDA to increase the viability and effectiveness of AP.
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