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The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool
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Outcomes-Based Contracting for Disease-Modifying Therapies in Multiple Sclerosis: Necessary Conditions for Paradigm
1Health Economics & Outcomes Research Fellow, Sanofi, Bridgewater, NJ.
Background:
In therapeutic areas with uncertainty regarding clinical outcomes that are dependent on high-cost specialty medications, outcomes-based contracts can be a tool to reduce financial risk for payers and for drug manufacturers. With a high treatment cost, large number of therapy choices, and variability of responses to therapy across patients, multiple sclerosis is a compelling therapeutic area to support outcomes-based contracts.
Objective:
To identify the necessary conditions to support the widespread adoption of outcomes-based contracts for high-cost drug therapy, with a focus on disease-modifying therapies for multiple sclerosis.
Methods:
We conducted a series of in-depth, semi-structured phone interviews during fall 2018 with 17 healthcare stakeholders representing payers, manufacturers, and industry consultants, all of whom had some involvement in outcomes-based contract development or evaluation. The qualitative data management program from QSR International, N-VIVO 11, was used to store, organize, categorize, analyze, and produce visualization tools to explore, map ideas, and understand themes from the data.
Results:
Overall, payers and manufacturers agreed that outcomes-based contracts are an effective vehicle to mitigate financial risk and deliver value for disease-modifying therapies for multiple sclerosis, but they noted that the widespread adoption of outcomes-based contracts was tempered by 5 broad categories of challenges, including data-related issues, outcome measurement and confounding factors, regulatory barriers, levels of risk mitigation, and patient adherence. The majority of participants were receptive to using blood-based clinical biomarkers as outcomes-based contract end points, as long as the biomarkers are validated, accurately predict clinical outcomes, are well-established in the therapeutic area, and are readily accessible to various stakeholders.
Conclusion:
Our findings indicate there is general support from payers and drug manufacturers to adopt outcomes-based contracts for disease-modifying therapies for multiple sclerosis. However, some conditions need to be met to allow their widespread adoption, including resolving data issues, ensuring patient adherence to therapy, having a level of risk mitigation that is significant for both parties to make the endeavor economically worthwhile, and fostering a supportive regulatory environment. Blood-based clinical biomarkers that meet certain criteria could be viable end points in outcomes-based contract for disease-modifying therapies for multiple sclerosis and can address many of the necessary conditions regarding data issues, including timeliness.
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