Is pharmaceutical detailing informative? Evidence from contraindicated drug prescriptions

IF 1.3 4区 管理学 Q3 BUSINESS Qme-Quantitative Marketing and Economics Pub Date : 2017-06-02 DOI:10.2139/ssrn.1992182
Guofang Huang, M. Shum, W. Tan
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引用次数: 6

Abstract

Crestor, an important but controversial cholesterol-lowering drug, is contraindicated for use by senior and Asian patients. In this paper, we exploit this fact along with unique physician-level prescription and detailing data for statin drugs to examine the hypothesis that detailing is informative. Our tests are based on a simple model in which detailing impacts physicians’ expected match utility of Crestor for different types of patients. We find strong evidence for the informative-detailing hypothesis: relative to the other patients, detailing significantly reduces physicians’ likelihood of prescribing Crestor to contraindicated patients. Our results are robust to detailing being correlated with physician-specific unobserved factors and/or differential trends in individual physicians’ attitudes toward Crestor.
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药物细节信息是否丰富?禁忌症药物处方的证据
Crestor是一种重要但有争议的降胆固醇药物,禁止老年和亚洲患者使用。在这篇论文中,我们利用这一事实,以及独特的医生级处方和他汀类药物的详细数据,来检验详细说明是有信息的假设。我们的测试基于一个简单的模型,其中详细描述了医生对不同类型患者的Crestor预期匹配效用的影响。我们发现有力的证据支持信息详细假设:与其他患者相比,详细说明显著降低了医生为禁忌症患者开具Crestor处方的可能性。我们的研究结果与医生特定的未观察到的因素和/或个别医生对Crestor态度的差异趋势相关。
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来源期刊
CiteScore
2.30
自引率
10.50%
发文量
13
期刊介绍: Quantitative Marketing and Economics (QME) publishes research in the intersection of Marketing, Economics and Statistics. Our focus is on important applied problems of relevance to marketing using a quantitative approach. We define marketing broadly as the study of the interface between firms, competitors and consumers. This includes but is not limited to consumer preferences, consumer demand and decision-making, strategic interaction of firms, pricing, promotion, targeting, product design/positioning, and channel issues. We embrace a wide variety of research methods including applied economic theory, econometrics and statistical methods. Empirical research using primary, secondary or experimental data is also encouraged. Officially cited as: Quant Mark Econ
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