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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

Authors :
Nicholas, Richard
Rodgers, Jeff
Witts, James
Lerede, Annalaura
Friede, Tim
Hillert, Jan
Forsberg, Lars
Glaser, Anna
Manouchehrinia, Ali
Ramanujam, Ryan
Spelman, Tim
Klyve, Pernilla
Drahota, Jiri
Horakova, Dana
Joensen, Hanna
Pontieri, Luigi
Magyari, Melinda
Ellenberger, David
Stahmann, Alexander
Butzkueven, Helmut
Van Der Walt, Anneke
Bezlyak, Vladimir
Lines, Carol
Middleton, Rod
Nicholas, Richard
Rodgers, Jeff
Witts, James
Lerede, Annalaura
Friede, Tim
Hillert, Jan
Forsberg, Lars
Glaser, Anna
Manouchehrinia, Ali
Ramanujam, Ryan
Spelman, Tim
Klyve, Pernilla
Drahota, Jiri
Horakova, Dana
Joensen, Hanna
Pontieri, Luigi
Magyari, Melinda
Ellenberger, David
Stahmann, Alexander
Butzkueven, Helmut
Van Der Walt, Anneke
Bezlyak, Vladimir
Lines, Carol
Middleton, Rod
Publication Year :
2023

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 th<br />QC 20231024

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1428117509
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1177.17562864231198963