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首页> 外文期刊>The Journal of Industrial Economics >Off‐Label Use Of Pharmaceuticals: A Detection Controlled Estimation Approach href='#joie12189-note-1035'/>
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Off‐Label Use Of Pharmaceuticals: A Detection Controlled Estimation Approach href='#joie12189-note-1035'/>

机译:药品的标签使用:一种检测控制估计方法 href =“#joie12189-note-1035”/>

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摘要

>We identify the rate of off‐label use of prescription drugs in the United States during 1993‐2008 using Detection Controlled Estimation. We find that the rate rises from 29.9% to 38.3% during this period. Off‐label prescribing increases when there are fewer FDA‐approved alternatives and a patient’s insurance has less restrictive formularies and lower copayments. The temporal increase in off‐label use coincides with a surge in settlements of Department of Justice (DOJ) lawsuits for off‐label marketing. Those drugs targeted by the DOJ have 4.6% higher rates of off‐label use initially, but the rate decreases 10.2% after the company becomes aware of the suit. The welfare effects of such regulatory intervention are unclear because we find off‐label prescribing patterns by physicians that are consistent with enhancement of patient welfare.
机译: >我们使用检测控制估计确定1993 - 2008年在美国的处方药的偏离标签使用率。 我们发现此期间的速度从29.9%升至38.3%。 当FDA批准的替代品较少的替代品较少时,售价较少的标签的规定增加了,患者的保险具有较少的限制性素质和更低的复制。 非标签用途的时间增加与司法部(Doj)诉讼部的定居点飙升,以便在标签营销中进行诉讼。 这些由DOJ针对的药物最初有4.6%的偏离标签使用率,但公司意识到诉讼后速率降低了10.2%。 这种监管干预的福利效应还不明确,因为我们发现与患者福利增强一致的医生身份的标签规定模式。

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