This OHE Research Paper describes a study in which four stated preference methods for anchoring EQ-5D-Y values were compared: visual analogue scale, discrete choice experiment (with a duration attribute), lag-time time trade-off, and the recently developed ‘location-of-dead’ element of the personal utility function (PUF) approach.
OHE Lunchtime Seminar with Alistair McGuire, 3rd February 2020. The seminar will present some preliminary thoughts on the promises offered by personalised medicine that it will allow efficient identification of different target groups and consequently more effective treatment.
Shah, K.K., Ramos-Goñi, J.M., Kreimeier, S. and Devlin, N.J.
To date there have been no value sets to support the use of the EQ-5D-Y in cost-utility analysis. Discrete choice experiments (DCEs) can be used to obtain values on a latent scale, but these values require anchoring at 0 = dead to meet the conventions of quality-adjusted life year (QALY) estimation. This Research Paper describes a study in which four stated preference methods for anchoring EQ-5D-Y values were compared: visual analogue scale, DCE (with a duration attribute), lag-time TTO and the recently developed ‘location-of-dead’ (LOD) element of the personal utility function approach.
Chronic diseases affect individuals’ health status and its impact is reflected by the stock of health, which measures the amount of health of a population in a given period of time. In a new study published in Health Economics, Maria Errea and colleagues assess the health-related quality of life of a population using the EQ-5D-5L instrument to, first, estimate the impact of a set of 30 chronic diseases and, second, rank diseases according to their impact on the stock of health for a country.
Research by OHE and the University of Sussex into patients’ preferences for diagnostic tests aimed at reducing antimicrobial resistance has been published in Applied Health Economics & Health Policy. The research found that patients across Europe have different preferences, which may have significant implications for the design and uptake of diagnostic tests.
OHE, in collaboration with RAND Europe, University College London (UCL) and University of Manchester (UoM), has been awarded a new research grant from Cancer Research UK in partnership with Greater Manchester Health & Social Care Partnership (GMHSCP) to further explore the potential of implementing outcome-based payments for cancer treatments.
New research published in Economics and Human Biology demonstrates that elevated blood tests and nurse-collected physical measures predict progression to disability two to four years ahead for individuals without a disability history.