ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2024
A Spanish value set for the SF-6D based on the SF-12 v1.
Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Health state values in cancer patients and the general population: evidence from SF-6Dv2.The European journal of health economics : HEPAC : health economics in prevention and care · 2026Article
- Exploring the intricate interplay between metabolic abnormalities and multidimensional cognitive impairment in stable schizophrenia patients.Translational psychiatry · 2026Observational
- The Short Form 6 Dimensions (SF-6D): Development and Evolution.Applied health economics and health policy · 2025Review
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Abstract
aimThis paper reports the first estimation of an SF-6D value set based on the SF-12 for Spain.
methodsA representative sample (n = 1020) of the Spanish general population valued a selection of 56 hypothetical SF-6D health states by means of a probability lottery equivalent (PLE) method. The value set was derived using both random effects and mean models estimated by ordinary least squares (OLS). The best model was chosen on the basis of its predictive ability assessed in terms of mean absolute error (MAE).
resultsThe model yielding the lowest MAE (0.075) was that based on main effects using OLS. Pain was the most significant dimension in predicting health state severity. Comparison with the previous SF-6D (SF-36) model estimated for Spain revealed no significant differences, with a similar MAE (0.081). Nevertheless, the new SF-6D (SF-12) model predicted higher utilities than those generated by the SF-6D (SF-36) scoring algorithm (minimum value - 0.071 vs - 0.357).
conclusionA value set for the SF-6D (SF-12) based on Spanish general population preferences elicited by means of a PLE technique is successfully estimated. The new estimated SF-6D (SF-12) preference-based measure provides a valuable tool for researchers and policymakers to assess the cost-effectiveness of new health technologies in Spain.
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