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Predicting EuroQoL EQ-5D Preference Scores from the SF-12 Health Survey in a Nationally Representative Sample

Center for Outcomes and Evidence, Agency for Healthcare Research and Quality, Rockville, Maryland

John A. Fleishman, PhD

Center for Financing, Access, and Cost Trends, Agency for Healthcare Research and Quality, Rockville, Maryland

Purpose. To predict the EuroQoL EQ-5D utility index from the SF-12 Health Survey for a US national sample of adults. Methods. The authors used the 2000 Medical Expenditure Panel Survey to examine the relationship between instruments. Linear regression was used to predict EQ-5D scores from Physical Component Summary (PCS) and Mental Component Summary (MCS) scores of the SF-12. A prediction model was derived in one half of the sample and validated in the other half. Results. Complete responses to both measures were available for 14,580 adults; 7313 (50.2%) surveys were used for the derivation set. The 2-variable model predicted 61% of the variance in EQ-5D scores and provided reasonable ability to predict mean EQ-5D scores from mean PCS and MCS scores. Confidence intervals are dependent on sample size and variance of PCS and MCS scores. Conclusions. EQ-5D scores can be reasonably predicted from the SF-12. This model allows researchers to estimate utility data for use in decision and cost-utility analyses.

Key Words: health utilities • health status measures • health-related quality of life • regression models • quality-adjusted life years

Medical Decision Making, Vol. 24, No. 2, 160-169 (2004)
DOI: 10.1177/0272989X04264015


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