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Assessment of Utility in Migraine: Mapping the Migraine-Specific Questionnaire to the Eq-5D-5L Publisher Pubmed



Ahadi MS1, 2 ; Vahidpour N3 ; Togha M1, 2 ; Daroudi R4 ; Nadjafisemnani F5 ; Mohammadshirazi Z6 ; Akbarisari A4 ; Ghorbani Z1, 7
Authors
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Authors Affiliations
  1. 1. Headache Department, Iranian Center of Neurological Research, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Headache Department, Neurology Ward, Sina University Hospital, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Imam Hossein Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  4. 4. Department of Health, Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  5. 5. Eye Research Center, The Five Senses Institute Rassoul Akram Hospital, Iran University of Medical Sciences, Tehran, Iran
  6. 6. Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
  7. 7. Department of Cellular and Molecular Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran

Source: Value in Health Regional Issues Published:2021


Abstract

Introduction: There are increasing demands for studies of cost-effectiveness to allocate resources for disease prevention and treatment strategies. The aim of this study is to measure quality of life in migraineurs, based on the Migraine-Specific Questionnaire (MSQ) and EQ-5D-5L, and thereafter map an algorithm to estimate health-state utility values from the MSQ in individuals with migraine. Methods: In this cross-sectional study conducted between May and July 2018 in a tertiary headache clinic in Tehran, Iran, migraineurs diagnosed based on International Classification of Headache Disorders (ICHD)-3β were enrolled and were asked to complete the MSQ questionnaire and EQ-5D questionnaire. The Spearman correlation coefficient (ρ) was calculated to measure the correlation between the EQ-5D-5L and MSQ v2.1 domains’ score. A P value of <.05 was considered statistically significant. After statistical analysis, several regression models were presented to map the results of the MSQ domains to the utility index, and the preferred model was achieved based on goodness of fit and the model's predictive performance. Results: The preferred MSQ algorithm had approximately the same prediction errors in all migraineurs, episodic and chronic migraine (root mean square error 0.24, 0.24, and 0.23, respectively). The preferred MSQ model explained a variance of 0.26 (R2) in episodic and 0.38 in chronic migraine in the EQ-5D-5L questionnaire. Conclusion: The preferred MSQ mapping algorithm will be suitable in estimating health state utilities in trials of patients with migraine that contain MSQ scores but lack utility values. © 2021
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