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  1. Wiyani A, Badgujar L, Khurana V, Adlard N
    Neurol Ther, 2021 Dec;10(2):557-583.
    PMID: 34279847 DOI: 10.1007/s40120-021-00264-1
    INTRODUCTION: The introduction of disease-modifying therapies (DMTs) for relapsing multiple sclerosis (RMS) over the last two decades has prompted the economic assessments of these treatments by reimbursement authorities. The aim of this systematic literature review was to evaluate the modeling approach and data sources used in economic evaluations of DMTs for RMS, identify differences and similarities, and explore how economic evaluation models have evolved over time.

    METHODS: MEDLINE®, Embase®, and EBM Reviews databases were searched using Ovid® Platform from database inception on 25 December 2019 and subsequently updated on 17 February 2021. In addition, health technology assessment agency websites, key conference proceedings, and gray literature from relevant websites were screened. The quality of included studies was assessed using the Drummond and Philips checklists.

    RESULTS: A total 155 publications and 30 Health Technology Assessment (HTA) reports were included. Most of these were cost-utility analysis (73 studies and 25 HTA reports) and funded by medicines manufacturers (n = 65). The top three countries where studies were conducted were the USA (n = 29), the UK (n = 16), and Spain (n = 10). Studies predominantly used Markov cohort models (94 studies; 25 HTAs) structured based on the Expanded Disability Status Scale (EDSS) with 21 health states (20 studies; 12 HTA reports). The London Ontario and British Columbia data sets were commonly used sources for natural history data (n = 33; n = 13). Twelve studies and ten HTAs from the UK assumed a waning of DMT effect over the long term, while this was uncommon in studies from other countries. Nineteen studies adjusted for multiple sclerosis (MS)-specific mortality estimates, while 18 studies used data from the national life table without adjustment. Studies prominently referred to mortality data that were about two decades old. The data on treatment effect was generally obtained from randomized controlled trials (43 studies; 7 HTAs) or from published evidence synthesis (23 studies; 24 HTAs). Utility estimates were derived from either published studies and/or supplemented with data from RCTs. Most of the models used the lifetime horizon (n = 37) with a 1-year cycle length (n = 63).

    CONCLUSION: As expected, similarities as well as differences were observed across the different economic models. Available evidence suggests models should continue using the Markov cohort model with 21 EDSS-based states, however, allowing the transition to a lower EDSS state and assuming a sustained treatment effect. With reference to the data sources, models should consider using a contemporary MS-specific mortality data, recent natural history data, and country-specific utility data if available. In case of data unavailability, a sensitivity analysis using multiple sources of data should be conducted. In addition, future models should incorporate other clinically relevant outcomes, such as the cognition, vision, and psychological aspects of RMS, to be able to present the comprehensive value of DMTs.

  2. Chataway J, Murphy N, Khurana V, Schofield H, Findlay J, Adlard N
    Curr Med Res Opin, 2021 06;37(6):995-1004.
    PMID: 33733976 DOI: 10.1080/03007995.2021.1904860
    Objective: To identify evidence in the literature presenting the economic and humanistic (based on health state utility values [HSUVs]) burden of multiple sclerosis (MS) and report the incremental burden of secondary progressive MS (SPMS) compared with relapsing-remitting MS (RRMS).Methods: Electronic databases (Embase, MEDLINE, MEDLINE In-Process, Cochrane Library) and other relevant repositories were systematically searched from the date of inception until November 2019 for evidence on the economic burden of MS, or HSUVs in patients with MS. Data were extracted from studies investigating cost data or HSUVs for patients with SPMS compared with RRMS.Results: In total, 25 studies were identified that reported data on the economic and HSUV burden of SPMS versus RRMS: 18 studies reported cost data and nine presented HSUVs. Overall, costs associated with SPMS were consistently higher than those for RRMS. Major cost drivers appeared to shift following transition from RRMS to SPMS, with higher direct medical costs associated with RRMS than with SPMS, while the opposite was true for direct non-medical costs and indirect costs. In all studies presenting HSUVs specifically in patients with SPMS, the disease burden was greater (indicated by lower HSUV scores or a negative regression coefficient vs RRMS) for patients with SPMS than for those with RRMS. Fatigue and psychological stress (including depression) were identified as key drivers of this reduced health-related quality of life (HRQoL).Conclusions: Our findings indicate that SPMS is associated with higher costs and more substantial HRQoL decrements than RRMS. These results highlight the substantial unmet need for effective treatments that can slow disease progression in patients with SPMS, which, in turn, would reduce the rate of HRQoL deterioration and increasing healthcare costs.
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