OBJECTIVES: The Cervantes scale is a specific health-related-quality-of-life (HRQoL) questionnaire developed in Spanish women through and beyond menopause. The 16-item form (Cervantes-SF) is structured in 6 dimensions: Vasomotor Symptoms, Health, Psychological Health, Aging, Sexuality, and Couple Relations. The aim of this work was to obtain a scoring algorithm for mapping the specific Cervantes-SF scores onto the generic EuroQoL-5D-3L (EQ-5D) for peri-menopausal and postmenopausal women.       METHODS: We designed a cross-sectional study enrolling peri and ostmenopausal adult women attending outpatient clinics of Gynecology all over the country in Spain. All of the patients completed both scales, the Cervantes-SF and the EQ-5D-3L. Several mapping methods were tested to predict EQ-5D utility values: Picewise regression based on item decomposition into dummy indicators, Picewise regression with profile aggregated data and Probit regression. R, Mean Absolute Error, Mean Average Percentual Error (MAPE), along with coefficient significance were used to compare models. Age, body mass index (BMI) and being sexually active were also variables tested within models.  RESULTS: A sample of 275 women [mean age 55 years old (SD=5.37)] was enrolled, with mean BMI=25.2 (SD=4.3) and 83% being sexually active. Most important dimensions were Aging, Health, Psychological health, and the interaction term for severity and BMI. Picewise regression with profile aggregated data performed best although differences between models were small. Goodness-of-fit statistics were good or very good: R=0.52, MAE=0.019, MPE=-0.1%, MAPE=12% and RMSE=0.126.   CONCLUSIONS: An algorithm for mapping menopause specific health states measured by the abridged 16-item Cervantes scale (Cervantes-SF) onto general HRQoL utilities has been obtained, allowing computing QALYs related to menopause impairment.