This post summarises a research grant that OHE and Peking University have been awarded from the EuroQol Group Foundation. The funded research project will explore the inconsistent ordering of levels of the EQ-5D-5L value set.
A project led by OHE’s Dr Yan Feng to explore the inconsistent ordering of levels of the EQ-5D-5L value set is to be funded through a research grant from the EuroQol Group foundation. The research team includes Professor Nancy Devlin from OHE, and Professor Gordon Liu from China Center for Health Economic Research, Peking University National School of Development, Beijing, China.
The descriptive levels used in the EQ-5D-5L value set are logically ordered as follows: no problems, slight problems, moderate problems, severe problems and unable to/extreme problems. However, some experiments which aim to produce country specific EQ-5D-5L value sets show results that violate this logical order. This is referred to as inconsistent ordering of levels.
Such inconsistent ordering of levels appears in time trade off (TTO) modelling results for the EQ-5D-5L value set studies in England, the Netherlands, Spain and Canada. It is also apparent in discrete choice experiment (DCE) modelling results in the Netherlands and Spain. Researchers in the four countries have used various approaches (mainly modelling approaches) to deal with this issue.
The EQ-5D-5L value set study in China is based on TTO data only. The Chinese EQ-5D-5L value set did not show inconsistent ordering of levels in any dimension for any modelling specifications.
This project aims to explore the explanations of inconsistent ordering of levels for an EQ-5D-5L value set in two ways: data collection and the econometric modelling.
First, the project will explore the logical inconsistency of the TTO and DCE data and the extent to which this arises from respondent effects, interviewer effects, and the effect of health states block design, comparing these various effects between the England and China data.
Second, the project will apply the econometric approach developed by The University of Sheffield and OHE to model the EQ-5D-5L value set for England study to the Chinese TTO and DCE data.
Research is scheduled to begin in early September 2015. For further information contact Dr Yan Feng at OHE.