Using stated preference and revealed preference modeling to evaluate prescribing decisions
Using stated preference and revealed preference modeling to evaluate prescribing decisions
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DOI：
10.1002/hec.845
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发表时间：
2004-06-01
期刊：
影响因子：
2.1
通讯作者：
Swait, J
中科院分区：
文献类型：
--
作者：
Mark, TL;Swait, J
近年来，使用陈述偏好分析来评估医疗保健产品的选择越来越多。本文展示了如何显示的偏好数据可以丰富与陈述的偏好数据，并突出显示和陈述的偏好数据的相对优势。该技术被应用到一项研究的决定因素的医生处方的酗酒药物。对医生对现有酗酒药物属性的看法与这些药物的处方率之间的关系进行了分析。还分析了医生的决定，以规定假设的酒精中毒药物与不同的属性，如疗效，副作用，依从性，作用方式和价格。最后，结合陈述和显示的偏好数据进行分析。联合估计表明，参数显示和陈述的偏好数据是相等的，规模。联合分析强调了如何声明的偏好数据可以用来估计参数的属性，没有观察到在市场上，不改变在市场上，或在实际市场中的其他属性是高度共线。版权所有（C）2003约翰威利父子有限公司。
The use of stated preference analyses to evaluate choice of health care products has been growing in recent years. This paper shows how revealed preference data can be enriched with stated preference data and highlights the relative advantages of revealed and stated preference data. The techniques were applied to a study of determinants of physicians' prescriptions of alcoholism medications. Analyses were conducted on the relationship between physicians' perceptions of existing alcoholism medication attributes and their prescribing rates of those medications. Analyses were also conducted on physicians' decisions to prescribe hypothetical alcoholism medications with varying attributes such as efficacy, side effects, compliance, mode of action, and price. Finally, analyses were conducted on the combined stated and revealed preference data. Joint estimation suggests that parameters from the revealed and stated preference data are equal, up to scale. Joint analyses highlight how stated preference data can be used to estimate parameters for attributes that are not observed in the marketplace, that do not vary in the marketplace, or that are highly collinear with other attributes in actual markets. Copyright (C) 2003 John Wiley Sons, Ltd.