The impact of healthcare systems on the clinical diagnosis and disease-modifying treatment usage in relapse-onset multiple sclerosis: a real-world perspective in five registries across Europe

Author:

Nicholas Richard123,Rodgers Jeff4,Witts James4,Lerede Annalaura2,Friede Tim5ORCID,Hillert Jan6,Forsberg Lars6,Glaser Anna6,Manouchehrinia Ali7,Ramanujam Ryan78,Spelman Tim9,Klyve Pernilla6,Drahota Jiri1011,Horakova Dana11,Joensen Hanna12,Pontieri Luigi12,Magyari Melinda1213,Ellenberger David14,Stahmann Alexander14,Butzkueven Helmut15ORCID,Van Der Walt Anneke15ORCID,Bezlyak Vladimir16,Lines Carol16,Middleton Rod17ORCID

Affiliation:

1. Swansea University Medical School, Swansea, UK

2. Department of Cellular and Molecular Neuroscience, Imperial College London, London, UK

3. Department of Visual Neuroscience, UCL Institute of Ophthalmology, London, UK

4. Faculty of Medicine Health and Life Science, Swansea University Medical School, Swansea, UK

5. Department of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany

6. Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden

7. Department of Clinical Neurosciences, Centre for Molecular Medicine (CMM), Karolinska Institute, Stockholm, Sweden

8. Department of Mathematics, KTH Royal Institute of Technology, Stockholm, Sweden

9. Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden, MS-Register

10. Czech National Multiple Sclerosis Patient Registry ReMuS, IMPULS Endowment Fund, Kateřinská, CZ, Prague

11. Department of Neurology and Center of Clinical Neuroscience, Charles University in Prague, First Faculty of Medicine and General University Hospital, Prague, Czech Republic

12. Danish Multiple Sclerosis Registry, Department of Neurology, University Hospital Copenhagen, Rigshospitalet, Denmark

13. Department of Neurology, Danish Multiple Sclerosis Center, University Hospital Copenhagen, Rigshospitalet, Denmark

14. German MS Registry, MS Forschungs- und Projektentwicklungs-gGmbH, Hannover, Germany

15. Department of Neuroscience, Central Clinical School, Monash University, Australia

16. Novartis Pharma AG, Basel, Switzerland

17. Faculty of Medicine Health and Life Science, Swansea University Medical School, Singleton Campus, Swansea SA2 8PP, UK

Abstract

Introduction: Prescribing guidance for disease-modifying treatment (DMT) in multiple sclerosis (MS) is centred on a clinical diagnosis of relapsing–remitting MS (RRMS). DMT prescription guidelines and monitoring vary across countries. Standardising the approach to diagnosis of disease course, for example, assigning RRMS or secondary progressive MS (SPMS) diagnoses, allows examination of the impact of health system characteristics on the stated clinical diagnosis and treatment access. Methods: We analysed registry data from six cohorts in five countries (Czech Republic, Denmark, Germany, Sweden and United Kingdom) on patients with an initial diagnosis of RRMS. We standardised our approach utilising a pre-existing algorithm (DecisionTree, DT) to determine patient diagnoses of RRMS or secondary progressive MS (SPMS). We identified five global drivers of DMT prescribing: Provision, Availability, Funding, Monitoring and Audit, data were analysed against these concepts using meta-analysis and univariate meta-regression. Results: In 64,235 patients, we found variations in DMT use between countries, with higher usage in RRMS and lower usage in SPMS, with correspondingly lower usage in the UK compared to other registers. Factors such as female gender ( p = 0.041), increasing disability via Expanded Disability Status Scale (EDSS) score ( p = 0.004), and the presence of monitoring ( p = 0.029) in SPMS influenced the likelihood of receiving DMTs. Standardising the diagnosis revealed differences in reclassification rates from clinical RRMS to DT-SPMS, with Sweden having the lowest rate Sweden (Sweden 0.009, range: Denmark 0.103 – UK portal 0.311). Those with higher EDSS at index ( p < 0.03) and female gender ( p < 0.049) were more likely to be reclassified from RRMS to DT-SPMS. The study also explored the impact of diagnosis on DMT usage in clinical SPMS, finding that the prescribing environment and auditing practices affected access to treatment. Discussion: This highlights the importance of a healthcare system’s approach to verifying the clinical label of MS course in facilitating appropriate prescribing, with some flexibility allowed in uncertain cases to ensure continued access to treatment.

Funder

Novartis

Publisher

SAGE Publications

Subject

Neurology (clinical),Neurology,Pharmacology

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