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Predicting EuroQoL EQ-5D preference scores from the SF-12 Health Survey in a nationally representative sample
William F Lawrence1, John A Fleishman
1Center for Outcomes and Evidence, Agency for Healthcare Research and Quality, Rockville, Maryland 20850, USA. william.lawrence@ahrq.hhs.gov
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.