Faculty of Humanities and Social Sciences, University of Lucerne, Lucerne, Switzerland; Interface Politikstudien Forschung Beratung, Lucerne, Switzerland.
Centre for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland.
Value Health. 2023 Jun;26(6):925-933. doi: 10.1016/j.jval.2023.01.002. Epub 2023 Jan 13.
The use of discrete choice experiments (DCEs) has become increasingly popular in health policy development by involving and analyzing the preferences of target groups for different aspects of the policy intervention. In this article, we aim to contribute to the standardization of the process of attribute and attribute level development for DCEs with policy relevance. To do so, we propose and empirically illustrate a framework tool for the development and reporting of attributes and attribute levels, with the systematic engagement of relevant stakeholders.
The framework tool was kept general to allow its use as a standard reporting approach on the development process of a DCE, involving relevant stakeholders at each stage. The proposed 3-stage process consists of (1) collection, (2) selection, and (3) refinement of the DCE attributes and attribute levels. The application of the framework tool is illustrated by 2 projects, Health2040 and COCONUTS-both concerning the preferences of the Swiss population for the future organization of healthcare.
By engaging stakeholders, we identified and included attributes and attribute levels that would not have been identified solely through the existing literature. In addition, including multiple stakeholders from different professional backgrounds ensured that the selected attributes and attribute levels were policy relevant, were applicable in practice, and reflected the opinions of multiple actors in healthcare.
The proposed framework helps to strengthen the standardization of the reporting on attribute and attribute level development with stakeholder engagement and to guide future research teams designing a DCE with policy implications.
通过让目标群体参与并分析其对政策干预不同方面的偏好，离散选择实验（DCE）在卫生政策制定中的应用越来越广泛。本文旨在为具有政策相关性的 DCE 属性和属性水平开发过程的标准化做出贡献。为此，我们提出并通过实证说明了一个框架工具，用于开发和报告具有系统利益相关者参与的属性和属性水平。
该框架工具保持通用性，以允许其作为 DCE 开发过程的标准报告方法使用，在每个阶段都涉及相关利益相关者。所提出的三阶段流程包括（1）收集、（2）选择和（3）细化 DCE 属性和属性水平。通过 Health2040 和 COCONUTS 这两个项目来举例说明该框架工具的应用，这两个项目都涉及瑞士人口对未来医疗保健组织的偏好。
通过让利益相关者参与，我们确定并纳入了仅通过现有文献无法识别的属性和属性水平。此外，纳入来自不同专业背景的多个利益相关者，确保了所选属性和属性水平具有政策相关性、适用于实践，并反映了医疗保健领域多个参与者的意见。
该框架有助于加强报告具有利益相关者参与的属性和属性水平开发的标准化，并指导未来具有政策影响的 DCE 设计的研究团队。
