Browsing by Subject "Lottery equivalent methods"

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    A Spanish value set for the SF‑6D based on the SF‑12 v1
    (Springer, 2024-02-01) Martínez Pérez, Jorge Eduardo; Abellán Perpiñán, José María; Sánchez Martínez, Fernando Ignacio; Ruiz López, Juan José; Economía Aplicada
    Aim This paper reports the first estimation of an SF-6D value set based on the SF-12 for Spain. Methods A 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). Results The 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). Conclusion A 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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    Lowering the floor of the SF-6D Utility function: an application using Spanish data
    (Fundación BBVA, 2010-07) Abellán Perpiñán, José María; Sánchez Martínez, Fernando Ignacio; Martínez Pérez, Jorge Eduardo; Méndez Martínez, Ildefonso; Economía Aplicada
    This paper presents a new scoring algorithm for the SF-6D, one of the most popular preference-based health status measures. Previous algorithms suffer from a phenomenon called the „floor‟ effect (i.e., lack of sensitivity of the instrument for detecting health gains of individuals whose baseline health is poor). Our algorithm expands the range of utility scores in such a way that the „floor‟ effect vanishes. We get such a wider range thanks to the use of a lottery equivalent method through which preferences from a representative sample of Spanish general population are elicited. -----------