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Modified delphi study of decision-making around treatment sequencing in relapsing-remitting multiple sclerosis
Background
Existing effectiveness models of disease-modifying drugs (DMDs) for relapsing-remitting multiple sclerosis (RRMS) evaluate a single line of treatment; however, RRMS patients often receive more than one lifetime DMD. To develop treatment sequencing models grounded in clinical reality, a detailed understanding of the decision-making process regarding DMD switching is required. Using a modified Delphi approach, this study attempted to reach consensus on modelling assumptions.
Methods
A modified Delphi technique was conducted based on three rounds of discussion among an international group of 10 physicians with expertise in RRMS.
Results
The panel agreed that the expected time from disease onset to Expanded Disability Status Scale 6.0 is a proxy for disease severity as well as with classifying severity into three groups. A modelled clinical decision rule regarding the timing of switching should contain at least the time between relapses, magnetic resonance imaging outcomes, and the occurrence/risk of adverse events (AEs). The experts agreed that the assessment of AE risk for a DMD is dependent on disease severity, with more risks accepted when the patient’s disease is more severe. The effectiveness of DMDs conditional on their position in a sequence and/or disease duration was discussed: there was consensus on some statements regarding this topic but these were accompanied by a high degree of uncertainty due to considerable knowledge gaps.
Conclusion
Useful insights into the medical decision-making process regarding treatment sequencing in RRMS were obtained. The knowledge gained has been used to validate the main modeling concepts and to further generate clinically meaningful results.
Authors
A M Piena, O Schoeman, J Palace, M Duddy, G T Harty, S L Wong
Journal
European Journal of Neurology
Therapeutic Area
Neurology
Center of Excellence
Health Economic Modeling & Meta-analysis
Year
2020
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