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.