Improving the quality of discrete-choice experiments in health How can we assess validity and reliability?
INTRODUCTION: The recent endorsement of discrete-choice experiments (DCEs) and other stated-preference methods by regulatory and health technology assessment (HTA) agencies has placed a greater focus on demonstrating the validity and reliability of preference results. Areas covered: We present a practical overview of tests of validity and reliability that have been applied in the health DCE literature and explore other study qualities of DCEs. From the published literature, we identify a variety of methods to assess the validity and reliability of DCEs. We conceptualize these methods to create a conceptual model with four domains: measurement validity, measurement reliability, choice validity, and choice reliability. Each domain consists of three categories that can be assessed using one to four procedures (for a total of 24 tests). We present how these tests have been applied in the literature and direct readers to applications of these tests in the health DCE literature. Based on a stakeholder engagement exercise, we consider the importance of study characteristics beyond traditional concepts of validity and reliability. Expert commentary: We discuss study design considerations to assess the validity and reliability of a DCE, consider limitations to the current application of tests, and discuss future work to consider the quality of DCEs in healthcare.
Janssen, E. M., Marshall, D. A., Hauber, A. B., & Bridges, J. F. P. (2017). Improving the quality of discrete-choice experiments in health: How can we assess validity and reliability? Expert Review of Pharmacoeconomics & Outcomes Research, 17(6), 531-542. https://doi.org/10.1080/14737167.2017.1389648