Preference-based Methods

To improve stated-preference methods, advance their use in health care, policy, and outcomes and build consensus on good research practices for these methods


Understanding the priorities and preferences of patients, caregivers, and other stakeholders is central to health economics and outcomes research. Scientifically rigorous evidence on priorities and preferences is now seen as important in promoting patient-centered drug development, facilitating patient-centered outcomes research (PCOR), informing regulatory benefit-risk analysis, and conducting robust health technology assessment HTA.

Stated preferences, also known as contingent valuation, are a means of measuring intangibles, such as a clean environment or good health. These intangibles have value or utility, but cannot be measured using price based models. Stated preference methods include a broad range of survey approaches that can be used to measure non-market priorities and preferences.

Methods such as conjoint analysis, discrete-choice experiments, and best-worst scaling are now commonly applied in health care, outcomes and policy studies. Quantifying or measuring preferences can involve simple intuitive approaches or can involve complex, cutting-edge scientific techniques grounded in advanced decision theories from psychology and economics. The broad array of methods under the stated preference umbrella and the ability to modify them allows their use for any number of research questions.

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For the past decade, ISPOR has been an international leader in developing good research practices for the application of stated-preference methods.

ISPOR Annual Meeting Presentations

ISPOR Task Force Reports (2011 – 2016)

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Special Interest Groups Index