OBJECTIVE: The scoring of the Women’s Health Questionnaire (WHQ) was reviewed as part of the International Health-related Quality of Life Database (IQOD) program. New hypotheses on item grouping were confirmed in different translated versions of the WHQ. Using this new conceptual model, reference values were developed per country and in different populations. METHODS: The scoring of the WHQ was reviewed using data from different countries: UK, US, France, Germany, Italy, Poland. The 23-item WHQ measures QoL in women, and investigates 6 domains: anxiety/depressed mood, well-being, somatic symptoms, memory/concentration, vasomotor symptoms, and sleep problem. Two optional modules evaluate sexual behavior and menstrual symptoms. A score is calculated for each domain and each optional module. Scores have been calculated using this new scoring. Psychometric properties of the translated versions using the new scoring were tested. The analyses used included: 1.Multitrait analysis (MA) to confirm the construct validity of the proposed model. 2.Cronbach alpha’s coefficient to assess internal consistency reliability. 3. Distribution of correlation of scores according to clinical criteria to assess discriminative power of the questionnaire RESULTS: Results of MA per country data showed that all items were more correlated to their own scale than with the other scales, thus providing evidence of good construct validity. Cronbach’s alpha was found to be above 0.70 for all dimension in all countries. Scores were found to be significantly correlated to clinical criteria such as severity of hot flushes and insomnia. Post-menopausal women reported lower scores than peri and pre-menopausal women, indicating lower level of QoL on all scales except menstrual symptoms (P<0.05, Kruskal-Wallis test). CONCLUSION: The scores obtained from this research can be used as reference values when using the WHQ in the UK, US, France, Germany, Italy, Poland. These reference values will facilitate the interpretation and understanding of the cross-cultural research using the WHQ questionnaire.