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Patients’ Preferences for Sphingosine-1-Phosphate Receptor Modulators in Multiple Sclerosis Based on Clinical Management Considerations: A Choice Experiment

Author

Listed:
  • Alexander Keenan

    (Janssen Scientific Affairs)

  • Chiara Whichello

    (Evidera)

  • Hoa H. Le

    (Janssen Scientific Affairs)

  • David M. Kern

    (Janssen Research and Development)

  • Gabriela S. Fernandez

    (Evidera)

  • Vicky Turner

    (Evidera)

  • Anup Das

    (Evidera)

  • Matthew Quaife

    (Evidera)

  • Amy Perrin Ross

    (Loyola University Chicago)

Abstract

Background Several sphingosine-1-phosphate receptor (S1PR) modulators are available in the US for treating relapsing forms of multiple sclerosis (RMS). Given that these S1PR modulators have similar efficacy and safety, patients may consider the clinical management characteristics of the S1PR modulators when deciding among treatments. However, none of the S1PR modulators is clearly superior in every aspect of clinical management, and for some treatments, clinical management varies based on a patient’s comorbid health conditions (e.g., heart conditions [HC]). Objectives This study aimed to determine which S1PR modulator patients with relapsing-remitting multiple sclerosis (RRMS) would prefer based on clinical management considerations, and to estimate how different clinical management considerations might drive these preferences. Preferences were explored separately for patients with and without comorbid HC. Methods A multicriteria decision analysis was conducted on S1PR modulators approved to treat RMS: fingolimod, ozanimod, siponimod, and ponesimod. Clinical management preferences of patients with RRMS were elicited in a discrete choice experiment (DCE) in which participants repeatedly chose between hypothetical S1PR modulator profiles based on their clinical management attributes. Attributes included first-dose observations, genotyping, liver function tests, eye examinations, drug–drug interactions, interactions with antidepressants, interactions with foods high in tyramine, and immune system recovery time. Preferences were estimated separately for patients with HC and without HC (noHC). Marginal utilities were calculated from the DCE data for each attribute and level using a mixed logit model. In the multicriteria decision analysis, partial value scores were created by applying the marginal utilities for each attribute and level to the real-world profiles of S1PR modulators. Partial value scores were summed to determine an overall clinical management value score for each S1PR modulator. Results Four hundred patients with RRMS completed the DCE. Ponesimod had the highest overall value score for patients both without (n = 341) and with (n = 59) HC (noHC: 5.1; HC: 4.0), followed by siponimod (noHC: 4.9; HC: 3.3), fingolimod (noHC: 3.4; HC: 2.8), and ozanimod (noHC: 0.9; HC: 0.8). Overall, immune system recovery time contributed the highest partial value scores (noHC: up to 1.9 points; HC: up to 1.2 points), followed by the number of drug–drug interactions (noHC: up to 1.2 points; HC: up to 1.7 points). Conclusions When considering the clinical management of S1PR modulators, the average patient with RRMS is expected to choose a treatment with shorter immune system recovery time and fewer interactions with other drugs. Patients both with and without heart conditions are likely to prefer the clinical management profile of ponesimod over those of siponimod, fingolimod, and ozanimod. This information can help inform recommendations for treating RRMS and facilitate shared decision making between patients and their doctors.

Suggested Citation

  • Alexander Keenan & Chiara Whichello & Hoa H. Le & David M. Kern & Gabriela S. Fernandez & Vicky Turner & Anup Das & Matthew Quaife & Amy Perrin Ross, 2024. "Patients’ Preferences for Sphingosine-1-Phosphate Receptor Modulators in Multiple Sclerosis Based on Clinical Management Considerations: A Choice Experiment," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 17(6), pages 685-696, November.
    • Handle: RePEc:spr:patien:v:17:y:2024:i:6:d:10.1007_s40271-024-00699-2
    DOI: 10.1007/s40271-024-00699-2
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    1. Marcel F. Jonker & Bas Donkers & Lucas M.A. Goossens & Renske J. Hoefman & Lea J. Jabbarian & Esther W. de Bekker-Grob & Matthijs M. Versteegh & Gerard Harty & Schiffon L. Wong, 2020. "Summarizing Patient Preferences for the Competitive Landscape of Multiple Sclerosis Treatment Options," Medical Decision Making, , vol. 40(2), pages 198-211, February.
    2. Bliemer, Michiel C.J. & Rose, John M. & Hensher, David A., 2009. "Efficient stated choice experiments for estimating nested logit models," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 19-35, January.
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