Introduction and objectiveMultiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system. MS is considered incurable; however, disease treatment has advanced significantly over the past several decades… Click to show full abstract
Introduction and objectiveMultiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system. MS is considered incurable; however, disease treatment has advanced significantly over the past several decades with the introduction of disease-modifying therapies (DMTs). The current study reviewed the cost-effectiveness analyses of DMTs in relapsing–remitting MS (RRMS) patients.MethodsA systematic literature search of bibliographic databases was conducted to identify economic evaluations published after 2007. The relevant population, intervention, comparators, outcomes, and study design (PICOS) were considered. The outcomes of interest were incremental cost-effectiveness ratios (ICERs), net monetary benefits, incremental benefits, and incremental costs. The Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement was used to assess the reporting quality of published studies.ResultsA total of 1370 potentially relevant citations were identified, of which 33 published articles and four Health Technology Assessment (HTA) reports prepared for the UK were included in the final analysis. Almost all studies were based on a health economic model and considered RRMS as the phase of disease at study entry. The studies were conducted in 10 different countries, with approximately 50% based in the US. Study outcomes were rarely comparable due to the different settings, input data, and assumptions. Even within the same country, the discrepancy between study criteria was considerable. The compliance with reporting standards of the CHEERS statement was generally high.ConclusionsInternationally, a large number of health economic assessments of DMTs in RRMS were available, yielding difficult to compare, and at times conflicting, results.
               
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