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专家型患者是否比其他患者得到更好的治疗?产科中的机构歧视和统计歧视。

Do expert patients get better treatment than others? Agency discrimination and statistical discrimination in obstetrics.

机构信息

University of Oslo, Norway; Akershus University Hospital, Norway.

出版信息

J Health Econ. 2011 Jan;30(1):163-80. doi: 10.1016/j.jhealeco.2010.10.004. Epub 2010 Oct 16.

Abstract

We address models that can explain why expert patients (obstetricians, midwives and doctors) are treated better than non-experts (mainly non-medical training). Models of statistical discrimination show that benevolent doctors treat expert patients better, since experts are better at communicating with the doctor. Agency theory suggests that doctors have an incentive to limit hospital costs by distorting information to non-expert patients, but not to expert patients. The hypotheses were tested on a large set of data, which contained information about the highest education of the parents, and detailed medical information about all births in Norway during the period 1967-2005 (Medical Birth Registry). The empirical analyses show that expert parents have a higher rate of Caesarean section than non-expert parents. The educational disparities were considerable 40 years ago, but have become markedly less over time. The analyses provide support for statistical discrimination theory, though agency theory cannot be totally excluded.

摘要

我们研究了一些模型,这些模型可以解释为什么专家型患者(产科医生、助产士和医生)比非专家型患者(主要是非医学背景的培训人员)得到更好的治疗。统计歧视模型表明,仁慈的医生会更好地治疗专家型患者,因为专家在与医生沟通方面更有优势。代理理论表明,医生有动机通过向非专家型患者歪曲信息来限制医院成本,但不会对专家型患者这样做。这些假设在一个包含大量数据的大型数据集上进行了测试,这些数据包含了父母的最高教育信息,以及挪威 1967 年至 2005 年期间所有出生的详细医疗信息(医学出生登记处)。实证分析表明,专家型父母的剖腹产率高于非专家型父母。40 年前,教育差距相当大,但随着时间的推移,差距明显缩小。这些分析为统计歧视理论提供了支持,尽管代理理论也不能完全排除。

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