OBJECTIVES: The main aim of this paper is to develop a new approach for analyzing EQ-5D data based on the principles of multicriteria analysis. A data set of 73 patients after lumbar discectomy has been used in order to illustrate the applicability of the model. METHODS: The proposed approach is an ordinal regression model for measuring and analyzing EQ-5D data. The main objective of the method is the aggregation of individual judgments into a collective value function. The proposed approach provides a series of normalized average indices for each one of the dimensions of the EQ-5D instrument, as well as a set of perceptual maps. These results include: average satisfaction, demanding, and improvement indices, as well as action and improvement diagrams. RESULTS: The analysis of the sample revealed a relatively high satisfaction level (84.65%) for the general health status (VAS). Furthermore, the analysis of the EQ-5D questions shows that patients are very satisfied regarding the dimensions of self-care (95.67%) and pain/discomfort (95.63%). On the other hand, the lowest health status score refers to the dimension of mobility (78.24%). The weights of these five dimensions are additional results of the proposed method. Based on this particular sample, the results show that the most important factor is the anxiety/depression (32.11%), following by the dimensions of mobility (21.23%) and usual activities (19.16%). Combing these results, the action diagram reveals a gap regarding the perceptions of these particular patients and proposes mobility and anxiety/depression as critical health status dimensions. CONCLUSIONS: The main advantage of the method is the ability to consider the qualitative (ordinal) nature of the input information. In addition, the provided results are rich enough to give a clearer view about the patient’s health status.