OHE Lunchtime Seminar with Professor Nancy Devlin, Office of Health Economics and Professor Ben van Hout, University of Sheffield
OHE Lunchtime Seminar with Professor Nancy Devlin, Office of Health Economics and Professor Ben van Hout, University of Sheffield
An EQ-5D-5L value set for England
Thursday 30 October 2014, 12:00-2:00pm.
The EQ-5D is a generic preference-based instrument that is widely used to measure and value changes in health-related quality of life. Respondents self-report their health in terms of five dimensions (mobility, self-care, usual activities, pain/discomfort and anxiety/depression) with three response levels in each (no, some or extreme problems). A new version of the instrument (EQ-5D-5L) with five response levels (no, slight, moderate, severe or extreme problems) is now available. Increasing the number of levels increases the ability of the EQ-5D-5L to capture impacts on and improvements in health that may have been missed by the EQ-5D-3L.
New algorithms are needed to link EQ-5D-5L health state descriptions to utility values for use in calculating quality-adjusted life years. The aim of this project was both to explore theoretical issues relating to how best to elicit and model preferences, and to produce an EQ-5D-5L value set for England.
Professor Nancy Devlin at the Office of Health Economics and Professor Ben van Hout of the University of Sheffield were awarded a research grant from the Policy Research Programme (PRP) of the UK’s National Institute for Health Research (NIHR) for this research (‘An EQ-5D-5L Value Set for England’ – 070/0073). The project team for this research also includes Koonal Shah and Yan Feng from OHE and Brendan Mulhern from the University of Sheffield.
Members of the general public in England (n=996), selected at random from residential post codes, were interviewed by professional interviewers from Ipsos MORI during the period of November 2012 and March 2013 using a protocol developed by the EuroQol Group. Each respondent was asked to value 10 health states using a composite Time Trade Off (TTO) approach, and seven paired comparisons of health states via Discrete Choice Experiment (DCE) tasks. Extensive work was undertaken in modelling the data in alternative ways. The final model selected for the EQ-5D-5L value set for England was a 20 parameter hybrid model (i.e. using both TTO and DCE data) with censored errors/opinions.
In this seminar, the new EQ-5D-5L value set will be presented, and the methods used to obtain and model the data explained. The characteristics of the new value set will be compared with those of the UK value set currently in use for EQ-5D, and with the interim value set for the EQ-5D-5L produced by a cross walk to the EQ-5D-3L. Policy and research implications will be discussed.
