Background And Objective: Relapsing-remitting multiple sclerosis (RRMS) is a chronic inflammatory disease associated with central nervous system dysfunction and accelerated brain volume loss (BVL). There exists a paucity of research examining the importance of BVL to patients and neurologists and exploring whether such preferences may differ between these two groups. This study sought to evaluate the preferences of patients and neurologists for RRMS treatments by considering benefits and risks associated with novel and common disease-modifying therapies (DMTs).
Patients And Methods: US patients diagnosed with non-highly active RRMS and US-based neurologists completed an online cross-sectional survey. A discrete choice experiment was used to assess patient and neurologist treatment preferences, with neurologists considering preferences for patients with non-highly active RRMS. Respondents chose between two treatment profiles with seven attributes identified in qualitative research: 2-year disability progression; 1-year relapse rate; rate of BVL; and risks of gastrointestinal symptoms, flu-like symptoms, infection, and life-threatening events. Attribute-level weighted preferences were estimated using a hierarchical Bayesian model.
Results: Analyses included 150 patients with non-highly active RRMS (mean age: 54 years) and 150 neurologists (65% in private practice). Among patients, the most important treatment attribute was reducing the rate of BVL, followed by reducing the risk of infection and risk of flu-like symptoms. In contrast, the most important treatment attribute among neurologists was reducing the risk of a life-threatening event, followed by slowing the rate of 2-year disability progression and risk of infection.
Conclusion: The findings highlight differences in treatment preferences between US patients and neurologists for non-highly active RRMS. The importance placed by patients on slowing the rate of BVL makes this a key topic that should be covered in the shared decision-making process.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8275192 | PMC |
http://dx.doi.org/10.2147/PPA.S306498 | DOI Listing |
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