Background Models of preferences in health services research (HSR) and Health Economics are often defined by readily available information, such as that captured in claims data and electronic health records. Yet many important questions about patient choices cannot be easily studied because of a lack of critical data elements. The objective of this review is to outline the advantages of using stated preferences (SP) data in health services research, and to outline how these methods can be used to evaluate choices that have not yet been offered or studied. Main body This article focuses on the application of DCE’s to relevant policy and health system delivery questions currently relevant, particularly in the United States. DCE’s may be helpful to collect data from patient or consumer data that we currently do not have. The article provides examples of research questions that have been answered using SP data collected with a DCE. It outlines how to construct a DCE and how to analyze the data. It also discusses the methodological challenges and emphasizes important considerations regarding the design and estimation methods. SP data can be adopted in situations where we would like to have consumer choice data, but we currently do not. These are often hypothetical situations to analyze the decision-making process of individuals. With SP data it is possible to analyze trade-offs patients make when choosing between treatment options where these hard to measure attributes are important. Conclusion This paper emphasizes that a carefully designed DCE and appropriate estimation methods can open up a new world of data regarding trade-offs patients and providers in healthcare are willing to make. It updates previous “how to” guide for DCE’s for health services researchers and health economists who are not familiar with these methods or have been unwilling to use them and updates previous description of these methods with timely examples.

中文翻译：

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使用离散选择实验来衡量对难以观察的选择属性的偏好，从而为卫生政策决策提供信息。

背景 卫生服务研究 (HSR) 和卫生经济学中的偏好模型通常由现成的信息定义，例如在索赔数据和电子健康记录中捕获的信息。然而，由于缺乏关键数据元素，许多关于患者选择的重要问题无法轻易研究。本综述的目的是概述在卫生服务研究中使用陈述偏好 (SP) 数据的优势，并概述如何使用这些方法来评估尚未提供或研究的选择。正文 本文重点关注 DCE 对当前相关政策和卫生系统交付问题的应用，尤其是在美国。DCE 可能有助于从我们目前没有的患者或消费者数据中收集数据。本文提供了使用 DCE 收集的 SP 数据回答的研究问题示例。它概述了如何构建 DCE 以及如何分析数据。它还讨论了方法上的挑战，并强调了有关设计和估计方法的重要考虑。SP 数据可以在我们希望获得消费者选择数据但我们目前没有的情况下采用。这些通常是分析个人决策过程的假设情况。使用 SP 数据，可以分析患者在选择治疗方案时做出的权衡，因为这些难以衡量的属性很重要。结论 本文强调，精心设计的 DCE 和适当的估计方法可以开辟一个新的数据世界，涉及患者和医疗保健提供者愿意做出的权衡取舍。它为不熟悉这些方法或不愿意使用这些方法的卫生服务研究人员和卫生经济学家更新了以前的 DCE“操作方法”指南，并通过及时的示例更新了以前对这些方法的描述。