Session (CTI)

PURPOSE: Patient engagement has been widely recognised as an important component of HEOR, yet its integration into economic model development remains variable. This session will demonstrate how early patient engagement can guide real-world evidence generation, challenge and/or redefine existing model concepts, and improve the relevance of economic evaluations for decision making, using choroidal melanoma as an illustrative example. DESCRIPTION: Economic models are typically conceptualised around clinical trial endpoints and precedent, but these may not always fully capture the lived experience of patients, potentially limiting the relevance of model outputs in real-world decision making. Using uveal melanoma as an example, this session will examine how patient perspectives can be more systematically incorporated into model conceptualisation and data analysis. The introduction will contrast traditional model conceptualisation with a patient-informed framework, presenting a practical roadmap for integrating patient insights into model development (Ross Goldstein, 9 minutes). Jo Gumbs will discuss current opportunities for patient involvement in evidence generation, highlighting the types of insights patients can contribute and how these can complement traditional data sources. Practical recommendations for improving engagement with patients in health economics activities will be presented (12 minutes). Ariel Ong will address methodological considerations for capturing patient experience, including the integration of multiple real-world data sources, use of unstructured patient-level information, and advanced analytical methods (12 minutes). Noémi Muszbek will present model structures to illustrate how data, patient experience and precedent may all be considered. The importance of non-conventional outcomes, and the difficulty in translating them into costs and utilities to be accounted for in decision-making, will be discussed (12 minutes). The session will conclude with audience discussion, using interactive polling to share experiences and perspectives on translating patient experience into data and cost-effectiveness modelling (15 minutes).