title: Predicting EuroQoL EQ-5D preference scores from the SF-12 Health Survey in a nationally representative sample.
abstract: OBJECTIVE
  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.
authors.affiliation: Center for Outcomes and Evidence, Agency for Healthcare Research and Quality, Rockville, Maryland 20850, USA. william.lawrence@ahrq.hhs.gov
authors.forename: William F
authors.initials: WF
authors.lastname: Lawrence
authors.forename: John A
authors.initials: JA
authors.lastname: Fleishman
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000465:Algorithms; D005260:Female; D005102:Health Expenditures; D006296:Health Services / Q000191:economics* / Q000706:statistics & numerical data*; D006306:Health Surveys; D006801:Humans; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D017060:Patient Satisfaction; D011788:Quality of Life; D014481:United States