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      Improving the quality of discrete-choice experiments in health: how can we assess validity and reliability?

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          Abstract

          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.

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          Author and article information

          Journal
          Expert Rev Pharmacoecon Outcomes Res
          Expert review of pharmacoeconomics & outcomes research
          Informa UK Limited
          1744-8379
          1473-7167
          Dec 2017
          : 17
          : 6
          Affiliations
          [1 ] a Department of Health Policy and Management , Johns Hopkins Bloomberg School of Public Health , Baltimore , MD , USA.
          [2 ] b Department of Community Health Sciences , University of Calgary, Health Research Innovation Centre (HRIC) , Calgary , AB , Canada.
          [3 ] c Research Triangle, RTI Health Solutions , NC , USA.
          Article
          10.1080/14737167.2017.1389648
          29058478
          3ebb2a7d-924e-4c72-b14c-d4e6f72c9f77
          History

          discrete-choice experiment,validity,stated-preference methods,reliability,patient preferences,Benefit-risk assessment

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