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Modified Delphi study of decision-making around treatment sequencing in relapsing-remitting multiple sclerosis
M A Piena1, O Schoeman2, J Palace3
1Modelling and Meta-Analysis Center of Excellence, Pharmerit International, Rotterdam, The Netherlands.
Background And Purpose:
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 amongst 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 suitable for 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. The experts agreed that the assessment of adverse event 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 modelling concepts and to further generate clinically meaningful results.
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