OHE and University of Sheffield to Collaborate on Research to Re-model the UK Value Set (‘MVH’) for EQ-5D

OHE, in collaboration with the University of Sheffield, has been awarded a research grant from the EuroQol Research Foundation to revisit the Measurement and Valuation of Health (MVH) study that produced the UK EQ-5D value set.

OHE, in collaboration with the University of Sheffield, has been awarded a research grant from the EuroQol Research Foundation to revisit the Measurement and Valuation of Health (MVH) study that produced the UK EQ-5D value set. 

This project will apply new econometric modelling approaches, developed by the University of Sheffield and OHE research team to model EQ-5D-5L value set for England, to the original MVH data. The research team includes Dr Yan Feng (OHE), Professor Nancy Devlin (OHE) and Professor Ben van Hout (University of Sheffield). 

The UK EQ-5D value set (often referred to as the MVH value set) has been widely used both in the UK and internationally. While use of the expanded-level version – the EQ-5D-5L – has grown, the EQ-5D continues to be an important instrument for measuring patient reported outcomes (PROs).  In the study which led to an England value set for the EQ-5D-5L (Devlin et al., 2015), a number of innovative approaches to the modelling of valuation data were developed. In this research we will apply those new methods to re-model the original MVH data.

In addition, the MVH study collected both time trade off (TTO) data and visual analogue scale (VAS) data, and the value set now recognised as the MVH value set is based on TTO data only. In this study, we propose to re-model the MVH data using the ‘hybrid’ approach used in the EQ-5D-5L value set study, which can draw on both sources of preference data together. 

This project aims to:

1. apply the econometric approaches that were developed in the EQ-5D-5L value set study for England to the EQ-5D-3L data that collected for the MVH study; 
2. predict the new EQ-5D index for the 243 health states, and compare these with the actual mean value and predicted values in the MVH value set for the 42 health states that were included in the original MVH study; 
3. compare the econometric approaches used in the EQ-5D-5L value set study and the MVH study; 
4. make the programming code in R available to other researchers wishing to explore their data sets using our methods. 

Reference: Devlin N, Shah K, Feng Y, Mulhern B, van Hout B., 2015. An EQ-5D-5L value set for England. OHE Research Paper 15/03 (forthcoming).