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MedLine Citation:
PMID:  20375418     Owner:  NLM     Status:  In-Data-Review    
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.
Haomiao Jia; Matthew M Zack; David G Moriarty; Dennis G Fryback
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Publication Detail:
Type:  Journal Article     Date:  2010-04-07
Journal Detail:
Title:  Medical decision making : an international journal of the Society for Medical Decision Making     Volume:  31     ISSN:  1552-681X     ISO Abbreviation:  Med Decis Making     Publication Date:    2011 Jan-Feb
Date Detail:
Created Date:  2011-02-07     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8109073     Medline TA:  Med Decis Making     Country:  United States    
Other Details:
Languages:  eng     Pagination:  174-85     Citation Subset:  IM    
School of Nursing and Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York (HJ).
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