Session (CTI)

Integrating clinical outcome assessment (COA) and patient preference information (PPI) has the potential to improve the insights obtained from patient experience data. This workshop will explore opportunities, challenges, and recommendations for bridging gaps between COA and PPI research. While it has been acknowledged that PPI and COAs can be complementary, debates on the exact nature of these synergies are limited. This is surprising, given the wide range of overlaps in applications. Examples of potential synergies include the use of concept elicitation data for COA development to inform the design of patient-preference studies, preference-weighting of COA data to inform regulatory benefit-risk assessment, and the use of PPI to elicit meaningful change thresholds. However, several methodological barriers remain to be resolved to fully realize the synergies between COAs and PPI. This includes questions on how to incorporate complex COAs in equally complex preference elicitation instruments and potential endogeneity bias from jointly analyzing COA data and PPI. Addressing methodological challenges could advance the science of both fields and improve the quality of patient experience data. Ms. Bush will define COA and PPI, describe how COA development can inform PP study design and discuss how COAs enhance the interpretation of preference estimates. Dr. Groothuis-Oudshoorn will discuss statistical issues of jointly analyzing both types of data and provide some guidance on potential solutions. Dr. Heidenreich will discuss challenges incorporating COAs as attributes into preference elicitation instruments, outlining different approaches and validation needs. Dr. Tervonen will build on previous speakers by discussing how PPI methods can be used to derive meaningful change thresholds and aid interpretation of COA scores.