An innovative approach to modelling the optimal treatment sequence for patients with relapsing–remitting multiple sclerosis : implementation, validation, and impact of the decision-making approach

Piena, M.A., Kroep, S., Simons, C. et al. (4 more authors) (2022) An innovative approach to modelling the optimal treatment sequence for patients with relapsing–remitting multiple sclerosis : implementation, validation, and impact of the decision-making approach. Advances in Therapy, 39 (2). pp. 892-908. ISSN 0741-238X

Abstract

Metadata

Authors/Creators:
  • Piena, M.A.
  • Kroep, S.
  • Simons, C.
  • Fenwick, E.
  • Harty, G.T.
  • Wong, S.L.
  • van Hout, B.A.
Copyright, Publisher and Additional Information: © 2021 The Author(s). This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/.
Keywords: Decision criteria; Relapsing–remitting multiple sclerosis; Resource utilization; Treatment switching; Treatment-sequencing model
Dates:
  • Accepted: 26 October 2021
  • Published (online): 18 November 2021
  • Published: February 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 17 Dec 2021 14:17
Last Modified: 17 Mar 2022 01:23
Status: Published
Publisher: Springer Nature
Refereed: Yes
Identification Number: https://doi.org/10.1007/s12325-021-01975-5
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