In the health sector, the EQ-5D has been widely used to evaluate health-related quality of life, mainly due to its simplicity, robustness and plasticity in calculating years of life adjusted for quality.
However, its model has remained stable over time and knowledge of the influence of such biodemographical variables as age and gender has not been incorporated. This information, along with the well-known non-linear behavior of the VAS, which measures the self-concept of the ‘General State of Health’, forms the basis for a new model, which we present here from a sample of patients who were operated on for chronic low back pain.
These are obtained using multiple regression analysis are consistent in terms of goodness-of-fit given that this new model is able to explain 91.3% of the self-concept of the ‘general state of health’.
Above leads to an improvement of 21.6% compared to the available models more robust and meets most of the restrictions for this type of statistical modeling.