Online Elicitation of Personal Utility Functions (OPUF) – An Open, Modular Health Valuation Platform
Author(s)
Schneider P1, Brazier JE1, Van Hout BA2, Devlin N3
1University of Sheffield, Sheffield, UK, 2OPEN Health, Cheshire, UK, 3The University of Melbourne, Melbourne, VIC, Australia
Presentation Documents
OBJECTIVES:
Commonly used preference elicitation methods, such as TTO or DCE, usually require data from hundreds of participants. Conducting health valuation studies thus becomes time and resource intensive, and eliciting preferences from patient, alongside HTA, for example, is often deemed infeasible altogether. This severely limits the availability of relevant (patient) preference information to decision makers. Here, we report on the current state of the Online elicitation of Personal Utility Function (OPUF) method; a new approach for valuing health and well-being.METHODS:
OPUF allows constructing value functions for small groups and even on the individual person level. The approach combines different compositional preference elicitation techniques into a new type of online survey. It broadly consists of three steps: dimension weighting, level rating, and anchoring. Demo OPUF surveys are available at: https://valorem.healthRESULTS:
We successfully piloted the OPUF approach for the EQ-5D-5L in samples of the general population in the UK (n=1,000) and Germany (n=500), and in patients with rheumatoid arthritis (n=120). The median completion time varied between 8 to 14 minutes. For each participant who completed the valuation steps, we were able to construct a personal EQ-5D-5L preference function. These preference functions predicted participants’ choices in hold-out DCE tasks with an accuracy of about 80%. On the group level, preferences differed between patients and the general public with regard to dimension weights, level ratings, as well as the anchoring.CONCLUSIONS:
Although OPUF is still under development, early results are promising, and we see several potential future applications. Most notably, OPUF could be used to elicit preferences from small groups of patients (e.g. patients with rare diseases), when other established methods seem infeasible. We now seek to make the approach available to others, and started developing a modular, open source online platform, which will help researchers to design, launch, and analyse online health valuation studies.Conference/Value in Health Info
2022-11, ISPOR Europe 2022, Vienna, Austria
Value in Health, Volume 25, Issue 12S (December 2022)
Code
PCR166
Topic
Patient-Centered Research
Topic Subcategory
Health State Utilities, Stated Preference & Patient Satisfaction
Disease
No Additional Disease & Conditions/Specialized Treatment Areas