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Developing attributes and attribute-levels for a discrete choice experiment on micro health insurance in rural Malawi

机译:为马拉维农村的小额医疗保险的离散选择实验开发属性和属性级别

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摘要

BackgroundDiscrete choice experiments (DCEs) are attribute-driven experimental techniques used to elicit stakeholders’ preferences to support the design and implementation of policy interventions. The validity of a DCE, therefore, depends on the appropriate specification of the attributes and their levels. There have been recent calls for greater rigor in implementing and reporting on the processes of developing attributes and attribute-levels for discrete choice experiments (DCEs). This paper responds to such calls by carefully reporting a systematic process of developing micro health insurance attributes and attribute-levels for the design of a DCE in rural Malawi.
机译:背景离散选择实验(DCE)是属性驱动的实验技术,用于引起利益相关者的偏好,以支持政策干预措施的设计和实施。因此,DCE的有效性取决于属性及其级别的适当规范。最近,人们呼吁更加严格地实施和报告离散选择实验(DCE)的属性和属性级别的开发过程。本文通过仔细报告为马拉维农村地区的DCE设计开发小额医疗保险属性和属性级别的系统过程,对这些呼吁做出了回应。

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