A comparison of United States and United Kingdom EQ‐5D health states valuations using a nonparametric Bayesian method

Cost-effectiveness analysis of alternative medical treatments relies on having a measure of effectiveness, and many regard the quality adjusted life year (QALY) to be the current 'gold standard.' In order to compute QALYs, we require a suitable system for describing a person's health state, and a utility measure to value the quality of life associated with each possible state. There are a number of different health state descriptive systems, and we focus here on one known as the EQ-5D. Data for estimating utilities for different health states have a number of features that mean care is necessary in statistical modelling.There is interest in the extent to which valuations of health may differ between different countries and cultures, but few studies have compared preference values of health states obtained from different countries. This article applies a nonparametric model to estimate and compare EQ-5D health state valuation data obtained from two countries using Bayesian methods. The data set is the US and UK EQ-5D valuation studies where a sample of 42 states defined by the EQ-5D was valued by representative samples of the general population from each country using the time trade-off technique. We estimate a utility function across both countries which explicitly accounts for the differences between them, and is estimated using the data from both countries. The article discusses the implications of these results for future applications of the EQ-5D and for further work in this field.

[1]  Deb Feldman-Stewart,et al.  What Questions Do Patients with Curable Prostate Cancer Want Answered? , 2000, Medical decision making : an international journal of the Society for Medical Decision Making.

[2]  K C Cain,et al.  Measuring Preferences for Health States Worse than Death , 1994, Medical decision making : an international journal of the Society for Medical Decision Making.

[3]  Anthony O'Hagan,et al.  Modelling covariates for the SF-6D standard gamble health state preference data using a nonparametric Bayesian method. , 2007, Social science & medicine.

[4]  R. Brooks EuroQol: the current state of play. , 1996, Health policy.

[5]  G. Hawthorne,et al.  A comparison of the Assessment of Quality of Life (AQoL) with four other generic utility instruments , 2001, Annals of medicine.

[6]  S. Wilson Methods for the economic evaluation of health care programmes , 1987 .

[7]  J. Brazier,et al.  The estimation of a preference-based measure of health from the SF-36. , 2002, Journal of health economics.

[8]  M. Boyle,et al.  Multiattribute and Single‐Attribute Utility Functions for the Health Utilities Index Mark 3 System , 2002, Medical care.

[9]  Stephen Joel Coons,et al.  US Valuation of the EQ-5D Health States: Development and Testing of the D1 Valuation Model , 2005, Medical care.

[10]  D A Revicki,et al.  Integrating patient preferences into health outcomes assessment: the multiattribute Asthma Symptom Utility Index. , 1998, Chest.

[11]  Nan Luo,et al.  Valuations of EQ-5D Health States: Are the United States and United Kingdom Different? , 2005, Medical care.

[12]  Anthony O'Hagan,et al.  Estimating utilities from individual health preference data: a nonparametric Bayesian method , 2005 .

[13]  Samer A. Kharroubi,et al.  Modeling HUI 2 Health State Preference Data Using a Nonparametric Bayesian Method , 2008, Medical decision making : an international journal of the Society for Medical Decision Making.

[14]  Julie Ratcliffe,et al.  Measuring and valuing health benefits for economic evaluation in adolescence: an assessment of the practicality and validity of the child health utility 9D in the Australian adolescent population. , 2012, Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research.

[15]  R M Kaplan,et al.  A general health policy model: update and applications. , 1988, Health services research.

[16]  N. Ikegami,et al.  Estimating an EQ-5D population value set: the case of Japan. , 2002, Health economics.

[17]  Tara Symonds,et al.  Estimation of a Preference-Based Index from a Condition-Specific Measure: The King's Health Questionnaire , 2008, Medical decision making : an international journal of the Society for Medical Decision Making.

[18]  H. Sintonen The 15-D Measure of Health Related Quality of Life: Reliability, Validity and Sensitivity of its Health State Descriptive System , 1994 .

[19]  P. Kind,et al.  A Comparison of United Kingdom and Spanish General Population Time Trade-off Values for EQ-5D Health States , 2001, Medical decision making : an international journal of the Society for Medical Decision Making.

[20]  H. Sintonen,et al.  A fifteen-dimensional measure of health-related quality of life (15D) and its applications , 1993 .

[21]  D. Feeny,et al.  Multiattribute utility function for a comprehensive health status classification system. Health Utilities Index Mark 2. , 1996, Medical care.

[22]  P. Dolan,et al.  Modeling valuations for EuroQol health states. , 1997, Medical care.