Although the development of the online tool is still in an early stage, there are multiple potential avenues for further research. We successfully piloted the OPUF Tool and showed that it can be used to derive a group-level as well as personal value sets for the EQ-5D-5L. Nevertheless, we were able to estimate a group-level value set for all 50 participants with reasonable precision. Overall, the results revealed that health state preferences vary considerably on the individual-level. These value sets predicted a participants' choices in a discrete choice experiment with an accuracy of 80%. Based on the responses, we were able to construct a personal EQ-5D-5L value set for each of the 50 participants. On average, it took participants about seven minutes to complete the OPUF Tool. A demo of the EQ-5D-5L OPUF survey is available at: The final version was piloted in a sample of 50 participants from the UK. After each round, the tool was refined and re-evaluated. Five rounds of qualitative interviews, and one quantitative pre-pilot were conducted to get feedback on the different tasks. We applied an iterative design approach to adapt the PUF method, previously developed by Devlin et al., for use as a standalone online tool. The aims of this study are to report on the development of the tool, and to test the feasibility of using it to obtain individual-level value sets for the EQ-5D-5L. Here, we present the Online elicitation of Personal Utility Functions (OPUF) tool a new type of online survey for valuing EQ-5D-5L health states using more efficient, compositional elicitation methods, which even allow estimating value sets on the individual level. They require data from hundreds if not thousands of participants to generate value sets. Standard valuation methods, such as TTO and DCE are inefficient.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |