Multiple Sclerosis | Treatment Algorithms | Claims Data Analysis | US | 2021

With more than a dozen immunomodulatory disease-modifying therapies (DMTs) available to treat multiple sclerosis (MS) and more in the pipeline, the treatment journey for U.S. MS patients continues to evolve. To date, the MS market has accommodated a role for many options owing to disease heterogeneity, individualized treatment decisions, and the unique clinical profile that defines each DMT. That said, with each new launch—and the recent start of generics competition for Tecfidera—players in this space must assess where their products fit in an increasingly crowded market, especially next-in-class alternatives offering incremental benefits. Meanwhile, competing paradigms of escalation versus early intervention with high-efficacy drugs remain. This national patient-level claims data analysis explores the current DMTs’ positioning, examines line of therapy progression, and assesses persistence and compliance by brand.

Questions Answered

  • What patient shares do key therapies and brands garner by line of therapy in newly diagnosed MS patients? What are the quarterly trends in prescribing among recently treated and newly diagnosed MS patients?
  • How have newer entrants such as Mayzent and Vumerity been integrated into the treatment algorithm, and what are their sources of business?
  • What percentage of MS patients receive drug therapy within two years of diagnosis, and how quickly? What percentage of patients progress to later lines of therapy within two years of diagnosis?
  • What are the product-level compliance and persistency rates among drug-treated patients?

Markets covered: United States

Real-world data: Longitudinal patient-level claims data analysis.

Key companies: Bayer, Biogen, Bristol Myers Squibb, EMD Serono, Genentech, Mylan, Novartis, Sanofi Genzyme, Teva.

Key drugs covered: Aubagio, Copaxone / glatiramer acetate, Gilenya, interferons, Kesimpta, Lemtrada, Mavenclad, Mayzent, Ocrevus, Tecfidera / dimethyl fumarate, Tysabri, Vumerity, Zeposia.

Key analysis provided:

  • Brand/therapy usage across longitudinal patient sample
  • Newly diagnosed patient analysis
  • Treatment initiation and progression
  • Line of therapy analysis
  • Source of business for recently treated patients
  • Persistency and compliance analysis
  • Product-level patient flowcharts

Product Description

Treatment Algorithms: Claims Data Analysis provides detailed, quantitative analysis of the treatment journey and brand usage across lines of therapy and overall using real-world, patient-level claims data so that marketers can accurately assess their source of business, benchmark usage against competitors, and quantify areas of opportunity for their marketed or emerging brand.

Solution Enhancement

The accompanying interactive dashboard provides novel delivery of data with interactive visuals, easier navigation, expanded analyses, and quarterly data refreshes.

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