Predicting the EuroQol Group’s EQ-5D Index from CDC’s “Healthy Days” in a US Sample
- 7 April 2010
- journal article
- research article
- Published by SAGE Publications in Medical Decision Making
- Vol. 31 (1), 174-185
- https://doi.org/10.1177/0272989x10364845
Abstract
Background. Obtaining reliable preference-based scores from the widely used Healthy Days measures would enable calculation of quality-adjusted life years (QALYs) and cost-utility analyses in many US community populations and over time. Previous studies translating the Healthy Days to the EQ-5D, a preference-based measure, relied on an indirect method because of a lack of population-based survey data that asked both sets of questions of the same respondents. Method. Data from the 2005–2006 National Health Measurement Study (NHMS; n = 3844 adults 35 years old or older) were used to develop regression-based models to estimate EQ-5D index scores from self-reported age, self-rated general health, and numbers of unhealthy days. Results. The models explained up to 52% of the variance in the EQ-5D. Estimated EQ-5D scores matched well to the observed EQ-5D scores in mean scores overall and by age, gender, race/ethnicity, income, education, body mass index, smoking, and disease categories. The average absolute differences were 0.005 to 0.006 on a health utility scale. After estimating mean EQ-5D index scores overall and for various subgroups in a large representative US sample of Healthy Days respondents, the authors found that these mean scores also closely matched the corresponding mean scores of EQ-5D respondents obtained from another large US representative sample with an average absolute difference of 0.013 points. Conclusions. This study yielded a mapping algorithm to estimate EQ-5D index scores from the Healthy Days measures for populations of adults 35 years old and older. Such analysis confirms it is feasible to estimate mean EQ-5D index scores with acceptable validity for use in calculating QALYs and cost-utility analyses based on the overall model fit and relatively small differences between the observed and the estimated mean scores.Keywords
This publication has 25 references indexed in Scilit:
- A review of studies mapping (or cross walking) non-preference based measures of health to generic preference-based measuresThe European Journal of Health Economics, 2009
- Estimating EuroQol EQ-5D Scores from Population Healthy Days DataMedical Decision Making, 2008
- US Norms for Six Generic Health-Related Quality-of-Life Indexes From the National Health Measurement StudyMedical Care, 2007
- Gender and the Burden of Disease Attributable to ObesityAmerican Journal of Public Health, 2006
- Preference-Based EQ-5D Index Scores for Chronic Conditions in the United StatesMedical Decision Making, 2006
- The income-associated burden of disease in the United StatesSocial Science & Medicine (1982), 2005
- Design Strategies and Innovations in the Medical Expenditure Panel SurveyMedical Care, 2003
- Design Strategies and Innovations in the Medical Expenditure Panel SurveyMedical Care, 2003
- Evaluating Quality-Adjusted Life Years: Estimation of the Health Utility Index (HUI2) from the SF-36Medical Decision Making, 2001
- EQ-SD: a measure of health status from the EuroQol GroupAnnals of Medicine, 2001