An Empirical Model of Drug Detailing: Dynamic Competition and Policy Implications

Qiang Liu, Sachin Gupta, S. Venkataraman, Hongju Liu
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引用次数: 22

Abstract

The practice of detailing in the marketing of prescription drugs is undergoing significant changes. For instance, in September 2013, the Physician Payment Sunshine Act went into full effect. The accompanying transparency requirements have prompted physician practices and hospitals to severely restrict pharmaceutical sales representatives’ direct access to their physicians. Despite all the attention in the popular press, scant scholarly research has investigated how these restrictions on physician access impact physician prescription behavior and competitive detailing to physicians. To analyze the impact of these restrictions, we develop a structural model of how pharmaceutical firms compete dynamically to schedule detailing to physicians. Detailing activities are known to have significant carryover effects that are captured in a first-stage model of physicians’ demand for prescription drugs. We also specify detailing policy functions that describe each firm’s observed detailing actions. In a second stage, we estimate a model that describes costs of detailing, assuming that the observed detailing levels are consistent with a Markov perfect Nash equilibrium. The estimated structural model is used to examine the implications of restrictions on the amount of detailing via counterfactual simulations. We find that restriction policies would increase the market share of a nondrug-treatment-only option but impact firms asymmetrically; firms that are strong in detailing and/or rely more on detailing would be hurt more. Unexpectedly, a policy that imposes a ceiling on detailing frequency could significantly reduce detailing of all firms in the market, including those firms with average detailing levels below the ceiling, and effectively would soften competition between firms and enhance their profits. This paper was accepted by J. Miguel Villas-Boas, marketing .
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药物细化的经验模型:动态竞争和政策影响
在处方药的销售中,细化的做法正在发生重大变化。例如,2013年9月,《医生薪酬阳光法案》(Physician Payment Sunshine Act)全面生效。随之而来的透明度要求促使医生执业和医院严格限制药品销售代表直接接触他们的医生。尽管大众媒体都很关注,但很少有学术研究调查了这些对医生访问的限制如何影响医生的处方行为和对医生的竞争细节。为了分析这些限制的影响,我们开发了一个制药公司如何动态竞争的结构模型,以安排详细的医生。在医生对处方药需求的第一阶段模型中,已知详细活动具有显著的结转效应。我们还详细说明了描述每个公司观察到的详细行动的详细政策功能。在第二阶段,我们估计一个描述细节成本的模型,假设观察到的细节水平与马尔可夫完美纳什均衡一致。估计的结构模型用于通过反事实模拟来检查对细节量的限制的影响。我们发现,限制政策会增加非药物治疗方案的市场份额,但对企业的影响是不对称的;注重细节和/或更依赖细节的公司将受到更大的伤害。出乎意料的是,对细节频率设置上限的政策可以显著减少市场上所有公司的细节,包括那些平均细节水平低于上限的公司,并有效地软化公司之间的竞争并提高它们的利润。这篇论文被市场营销学的J. Miguel Villas-Boas接受。
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