The inaugural PROMs Conference was held in Sheffield on Thursday 9th June 2016. This post contains presentations and posters given by the OHE team.
The inaugural PROMs Conference was held in Sheffield on Thursday 9th June 2016. The aim of this conference was to bring together leading researchers to discuss cutting edge developments in patient reported outcome measures (PROMs) research.
Several members of the OHE team attended and contributed to the one day conference. This post contains presentations and posters given by the OHE team.
Presentation: A new method for valuing patient-reported outcomes: direct elicitation of personal utility functions
Koonal Shah outlined a new stated preference approach for directly eliciting personal utility functions. He explained the concept underpinning the new approach, and presented results from piloting work to test the feasibility and acceptability of the approach in valuing EQ-5D.
Poster: A comparison of three EQ-5D value sets: Implications for the analysis of routinely collected EQ-5D data
The following poster was presented by Koonal Shah. It compares three EQ-5D values sets: the UK EQ-5D-3L (MVH) value set; the EQ-5D-5L cross walk value set; and the new EQ-5D-5L value set for England.
Poster: Do you know what you are talking about? Differences in the TTO valuation of (currently) experienced and non-experienced health profiles
Patricia Cubi-Molla presented the following poster. It explores whether experiencing a certain health state affects the valuation of the health state.
Poster: The distribution of the EQ-5D-5L Index in patient populations
The distribution of the EQ-5D-3L index in patient populations often shows two distinct groups, arising both from the distribution of ill health and how the EQ-5D-3L index is constructed. This poster, presented by Yan Feng, describes a study which aims to explore (a) whether or not the EQ-5D-5L index distribution also demonstrates clustering; (b) the extent to which clustering of EQ-5D-5L profile data is a driver of any observed clustering of the EQ-5D-5L index; and the extent to which clusters are a product of the value sets used to estimate the EQ-5D-5L index; and (c) to highlight the implications of our results for statistical analysis of EQ-5D-5L index data.
For further information on any of these presentations please contact the OHE authors via our Meet the Team webpage.