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A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
Value assessment of disease-modifying therapies for Relapsing-Remitting Multiple Sclerosis: HTA evidence from seven
Erica Visintin1, Michela Tinelli1, Panos Kanavos1
1Department of Health Policy, Medical Technology Research Group, LSE Health, London School of Economics, Houghton Street, London WC2A 2AE, England, United Kingdom.
Abstract:
This study systematically compares HTA recommendations on a number of disease-modifying therapies for patients with Relapsing-Remitting Multiple Sclerosis. We analysed publicly available HTA reports for nine medicine-indication pairs across seven OECD countries using a methodological framework enabling systematic analysis of HTA recommendations. The analysis was conducted based on a number of value dimensions, including clinical and economic variables, as well as several other dimensions of value beyond cost-effectiveness. The material was qualitatively and quantitatively coded following the different stages of HTA decision-making process. Fifty-seven medicine-indication pairs were assessed across the study countries. Of those, eight medicine indication-pairs reported diverging HTA recommendations. Although HTA recommendations were based on the same evidence submitted in most cases, significant variations were identified in interpretation and acceptance of evidence resulting in different uncertainties raised and different ways of addressing them. Uncertainties arose both in terms of the clinical and the economic evidence, including the design of key trials or the data quality in economic models. Beyond costs and effects, additional dimensions of value had an impact in the direction of recommendations, however with different magnitude across countries. We show that there is heterogeneity across countries in HTA for evaluating DMTs for RRMS with a lack of standardised methods in evaluating clinical and economic evidence and the use of social value judgments to inform decision-making.
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