title: A preference-based index for the SF-12.
abstract: BACKGROUND
  The SF-12 is a widely used generic measure of subjective health. As the scoring algorithms of the SF-12 do not include preference values, different approaches to assign a preference-based index are available that should be tested regarding their feasibility and validity.
  
  
  OBJECTIVE
  To develop a concept for a preference-based index for the SF-12 on the basis of multi-attribute decision analysis and to perform initial tests of its feasibility and validity in an empirical study.
  
  
  METHODS
  A multi-attribute preference function for the SF-12 was developed, estimated and tested for validity. Two mail surveys (n = 100, 200) and an interview (n = 72) were conducted with women who had an operation for breast cancer. Visual analogue scale (VAS) and standard gamble (SG) measures elicited preference-based valuations.
  
  
  RESULTS
  Eight attributes were identified in the SF-12. Validity tests showed an average difference of 8 VAS score points between directly measured and predicted values for given health states.
  
  
  CONCLUSIONS
  The initial results show that this approach might allow the direct assignment of a preference-based valuation to the SF-12. The quality of the psychometric features of the multi-attribute value function is encouraging. Future studies should test this concept more extensively, especially by determining parameters for a representative sample of the general population and by comparing performance with other approaches to value the SF-12.
authors.affiliation: Department of Health Economics, University of Ulm, Germany.
authors.forename: D
authors.initials: D
authors.lastname: Stratmann-Schoene
authors.forename: T
authors.initials: T
authors.lastname: Kuehn
authors.forename: R
authors.initials: R
authors.lastname: Kreienberg
authors.forename: R
authors.initials: R
authors.lastname: Leidl
mesh_terms: D000465:Algorithms; D001943:Breast Neoplasms / Q000523:psychology / Q000601:surgery; D005260:Female; D005858:Germany; D006304:Health Status; D006306:Health Surveys; D006801:Humans; D007407:Interviews as Topic; D010147:Pain Measurement; D011594:Psychometrics; D019057:Quality-Adjusted Life Years; D011795:Surveys and Questionnaires