Most people would recognize that patient preferences have an important role to play in healthcare decision making, although it is only recently that decision makers have shown interest in quantitative methods for eliciting patient preferences. For example:
Data on patients’ trade-offs can be used to generate decision relevant information, including: the minimum acceptable benefit to offset treatment risks; the maximum acceptable risk that would be justified by treatment benefits; overall benefit-risk profile; willingness to pay; and the probability that a patient selects or adheres to a particular treatment.
This patient preference information is used to help with:
With one of the largest in-house teams, and a unique combination of experience in both preference elicitation and decision analysis, Evidera has the expertise to ensure you generate preference information that meets the needs of decision makers, including:
Expertise in a diversity of preference elicitation methods, in particular discrete choice experiments and swing weighting.
Expertise in recruiting patients through panels, advocacy groups, and sites.
Methods to combine preference data with performance data to inform decisions. Click here to learn more.
Methods to assess the impact of uncertainty on analysis outputs, including Stochastic Multi-criteria Acceptability Analysis.
Experience interacting with regulators, including all FDA divisions.