The growing number of disease-modifying treatments (DMTs) for patients with multiple sclerosis (MS) and the high acquisition costs of these DMTs are likely to increase the demand for information on their cost effectiveness. To improve the comparability and applicability of the findings from future cost-effectiveness analyses, it would be useful to have a clear understanding of the methodological challenges of modelling the cost effectiveness of DMTs in MS and the different approaches taken by such studies to date. In contrast to previous review studies, this review focuses on long-term time horizon (≥10 years) simulation-based cost-effectiveness analyses with homogeneous contexts of analysis (i.e. those with similar study objectives, comparators, and target populations) published over the past decade. By doing so, it provides a clearer picture of how modelling approaches taken in the existing studies truly differ across studies, and reveals major areas for improvement in conducting future cost-effectiveness analyses of DMTs for patients with MS.

Combination therapy for patients with moderate-to-severe AD is a cost-effective treatment compared to AChEI monotherapy in the US.

DCV + SOF is a dominant option compared with SOF + RBV in the US for the overall GT 3 HCV patient population.

This economic analysis concluded that treatment with golimumab is likely more cost-effective vs SoC when considering cost-effectiveness acceptability thresholds from $50,000-$100,000 per QALY.

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