Economic burden of highly active relapsing-remitting multiple sclerosis patients in the French national health insurance database

3Citations
Citations of this article
20Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Background: As healthcare management of highly active-relapsing-remitting multiple sclerosis (HA-RRMS) patients is more complex than for the whole multiple sclerosis (MS) population, this study assessed the related economic burden from a National Health Insurance’s (NHI’s) perspective. Research design and methods: Study based on French NHI databases, using individual data on billing and reimbursement of outpatient and hospital healthcare consumption, paid sick leave and disability pension, over 2010–2017. Results: Of the 9,596 HA-RRMS adult patients, data from 7,960 patients were analyzed with at least 2 years of follow-up. Mean annual cost/patient was €29,813. Drugs represented 40% of the cost, hospital care 33%, disability pensions 9%, and all healthcare professionals’ visits combined 8%. Among 3,024 patients under 60 years-old with disability pension, disability pension cost €7,168/patient/year. Among 3,807 patients with paid sick leave, sick leave cost €1,956/patient/year. Mean costs were €2,246/patient higher the first year and increased by €1,444 between 2010 and 2015, with a €5,188 increase in drug-related expenditures and a €634 increase in healthcare professionals’ visits expenditures but a €4,529 decrease in hospital care expenditures. Conclusions: The cost of health care sick leaves, and disability pensions of HA-RRMS patients was about twice as high as previously reported cost of MS patients.

Cite

CITATION STYLE

APA

Vandhuick, O., Payet, M., Préaud, E., Lortet-Tieulent, J., Raguideau, F., Chevreuil, O., … Kwiatkowski, A. (2021). Economic burden of highly active relapsing-remitting multiple sclerosis patients in the French national health insurance database. Expert Review of Pharmacoeconomics and Outcomes Research, 21(5), 1135–1144. https://doi.org/10.1080/14737167.2021.1945926

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free