Decision Making About Disease-Modifying Treatments for Relapsing-Remitting Multiple Sclerosis: Stated Preferences and Real-World Choices
- PMID: 37072663
- DOI: 10.1007/s40271-023-00622-1
Decision Making About Disease-Modifying Treatments for Relapsing-Remitting Multiple Sclerosis: Stated Preferences and Real-World Choices
Abstract
Background: People with relapsing-remitting multiple sclerosis can benefit from disease-modifying treatments (DMTs). Several DMTs are available that vary in their efficacy, side-effect profile and mode of administration.
Objective: We aimed to measure the preferences of people with relapsing-remitting multiple sclerosis for DMTs using a discrete choice experiment and to assess which stated preference attributes correlate with the attributes of the DMTs they take in the real world.
Methods: Discrete choice experiment attributes were developed from literature reviews, interviews and focus groups. In a discrete choice experiment, participants were shown two hypothetical DMTs, then chose whether they preferred one of the DMTs or no treatment. A mixed logit model was estimated from responses and individual-level estimates of participants' preferences conditional on their discrete choice experiment choices calculated. Logit models were estimated with stated preferences predicting current real-world on-treatment status, DMT mode of administration and current DMT.
Results: A stated intrinsic preference for taking a DMT was correlated with currently taking a DMT, and stated preferences for mode of administration were correlated with the modes of administration of the DMTs participants were currently taking. Stated preferences for treatment effectiveness and adverse effects were not correlated with real-world behaviour.
Conclusions: There was variation in which discrete choice experiment attributes correlated with participants' real-world DMT choices. This may indicate patient preferences for treatment efficacy/risk are not adequately taken account of in prescribing. Treatment guidelines must ensure they take into consideration patients' preferences and improve communication around treatment efficacy/risk.
© 2023. The Author(s), under exclusive licence to Springer Nature Switzerland AG.
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