Modeling Approaches in Cost-Effectiveness Analysis of Disease-Modifying Therapies for Relapsing-Remitting Multiple Sclerosis: An Updated Systematic Review and Recommendations for Future Economic Evaluations

Patient Experiences with the Impacts of Multiple Sclerosis & Disease-Modifying Therapies

Purpose

Disease-modifying therapies (DMTs) are vital for managing multiple sclerosis (MS), but research using administrative data often excludes patient preferences and factors clinicians consider in treatment decisions. Patient experience data are crucial to understand and improve MS treatment initiation, adherence, and outcomes.

Methods

A cross-sectional survey of US adults with MS or clinically isolated syndrome was conducted online from December 2022 to January 2023 by the MS Coalition. A mixed methods analysis was conducted: logistic regression for quantitative data and thematic analysis of qualitative data.

Results

Among 1,323 participants (median age 55; 78% female), 80% expressed concerns about loss of independence, 65% about financial impacts, 64% about emotional impacts, 57% about relationships, and 42% about careers. Emotional tolls included identity loss, stress from navigating healthcare, and financial strain on families. Concerns varied by age, sex, and disability status. Nearly all participants (97%) reported DMT experience, with 73% having used two or more DMTs. Key factors in initiating DMT included slowing disease progression (92%), preventing relapses (89%), and following medical advice (89%). Financial barriers, such as high out-of-pocket costs, led to treatment delays or discontinuation in 19%. Barriers varied by demographic factors and included stress from medication costs, insurance denials, and fear of losing health coverage. Financial assistance was crucial for many. Half of participants had stopped a DMT due to doctor recommendations, side effects, or insurance issues.

Conclusion

The survey highlights the emotional and financial burdens of living with MS, including concerns about independence and relationships. The findings underscore the need for comprehensive care and provide actionable recommendations for managed care, research, and healthcare providers.

Cost-Utility Analysis and Efficiency Frontier of Drugs Available in Brazil for the Treatment of Relapsing-Remitting Multiple Sclerosis

OBJECTIVES

In the Brazilian Public Health System (SUS), the different drugs for the treatment of relapsing-remitting multiple sclerosis (RRMS) are used in an escalating approach, through therapeutic lines from lowest to highest efficacy. Early intensive treatment, indicating the use of more effective drugs for the first symptoms of the disease, has been advocated by some specialists; however, the clinical and economic impact of this strategy is unknown. The aim of this study was to conduct cost-utility, net benefit, and efficiency frontier (EF) analyses for all drugs approved in Brazil for RRMS.

METHODS

A Markov model was constructed from the SUS perspective to conduct economic analyses. The outcomes of the annualized relapse rate and sustained disability progression were modeled, considering disease progression according to changes in levels on the Expanded Disability Status Scale. Net benefit and EF analyses were also conducted.

RESULTS

In the cost-utility assessment, 12 of the 14 drugs were dominated by alemtuzumab and teriflunomide. An EF was established between the 2 drugs with an incremental cost-effectiveness ratio of $8231.87/quality-adjusted life-years. Teriflunomide obtained the best results in the net benefit assessment. Most drugs had an incremental cost-effectiveness ratio below the cost-utility threshold ($8000.00/quality-adjusted life-years) in the probabilistic sensitivity analysis.

CONCLUSIONS

Early intensive treatment of EF may modify the current RRMS treatment paradigm, and the results presented may help define the cost utility of new entrants to the SUS.

Bioelectronic Medicines-A Novel Approach of Therapeutics in Current Epoch

BACKGROUND

Bioelectronic medicines aim to diagnose and treat a wide range of illnesses and ailments, including cancer, rheumatoid arthritis, inflammatory bowel disease, obesity, diabetes, asthma, paralysis, blindness, bleeding, ischemia, organ transplantation, cardiovascular disease, and neurodegenerative diseases. The focus of bioelectronic medicine is on electrical signaling of the nervous system. Understanding the nervous system's regulatory roles and developing technologies that record, activate, or inhibit neural signaling to influence particular biological pathways.

OBJECTIVE

Bioelectronic medicine is an emerging therapeutic option with the interconnection between molecular medicine, neuroscience, and bioengineering. The creation of nerve stimulating devices that communicate with both the central and peripheral nervous systems has the potential to completely transform how we treat disorders. Although early clinical applications have been largely effective across entire nerves, the ultimate goal is to create implantable, miniature closed-loop systems that can precisely identify and modulate individual nerve fibers to treat a wide range of disorders.

METHODOLOGY

The data bases such as PubMed, and Clinicaltrial.gov.in were searched for scientific research, review and clinical trials on bioelectronic medicine.

CONCLUSION

The field of bioelectronic medicine is trending at present. In recent years, researchers have extended the field's applications, undertaken promising clinical trials, and begun delivering therapies to patients, thus creating the groundwork for significant future advancements. Countries and organizations must collaborate across industries and regions to establish an atmosphere and guidelines that foster the advancement of the field and the fulfillment of its prospective advantages.

Challenges and Opportunities in Interdisciplinary Research and Real-World Data for Treatment Sequences in Health Technology Assessments

With an ever-increasing number of treatment options, the assessment of treatment sequences has become crucial in health technology assessment (HTA). This review systematically explores the multifaceted challenges inherent in evaluating sequences, delving into their interplay and nuances that go beyond economic model structures. We synthesised a 'roadmap' of literature from key methodological studies, highlighting the evolution of recent advances and emerging research themes. These insights were compared against HTA guidelines to identify potential avenues for future research. Our findings reveal a spectrum of challenges in sequence evaluation, encompassing selecting appropriate decision-analytic modelling approaches and comparators, deriving appropriate clinical effectiveness evidence in the face of data scarcity, scrutinising effectiveness assumptions and statistical adjustments, considering treatment displacement, and optimising model computations. Integrating methodologies from diverse disciplines-statistics, epidemiology, causal inference, operational research and computer science-has demonstrated promise in addressing these challenges. An updated review of application studies is warranted to provide detailed insights into the extent and manner in which these methodologies have been implemented. Data scarcity on the effectiveness of treatment sequences emerged as a dominant concern, especially because treatment sequences are rarely compared in clinical trials. Real-world data (RWD) provide an alternative means for capturing evidence on effectiveness and future research should prioritise harnessing causal inference methods, particularly Target Trial Emulation, to evaluate treatment sequence effectiveness using RWD. This approach is also adaptable for analysing trials harbouring sequencing information and adjusting indirect comparisons when collating evidence from heterogeneous sources. Such investigative efforts could lend support to reviews of HTA recommendations and contribute to synthesising external control arms involving treatment sequences.

Societal economic burden of multiple sclerosis and cost-effectiveness of disease-modifying therapies

Background

In an era of scarce resources, policy makers, neurologists and other stakeholders need to be aware of the economic burden of multiple sclerosis and the cost-effectiveness of disease-modifying therapies. The aim of this article is to provide a mini-review of these health economic facets of multiple sclerosis.

Methods

An umbrella review was conducted by searching PubMed and Google Scholar from 2002 until June 2022 for peer-reviewed systematic and narrative literature reviews.

Results

An extensive body of evidence corroborates that multiple sclerosis is associated with a substantial economic burden within and outside the health care sector, that costs of secondary progressive multiple sclerosis exceed those of relapsing-remitting multiple sclerosis, that costs increase with disease severity and are influenced by the occurrence of relapses and therapy adherence. However, cost estimates and their breakdown into various components vary between countries. Economic evaluations show that disease-modifying therapies for relapsing-remitting multiple sclerosis are generally not cost-effective, but these results depend on the local setting. Cost-effectiveness of disease-modifying therapies improves when a societal perspective is taken and efficacy does not wane over a lifetime horizon, when oral administration forms or dosing strategies requiring less maintenance are introduced, and when generic versions enter the market. Reimbursement recommendations related to disease-modifying therapies also differ between countries.

Conclusion

The local context matters when calculating the societal economic burden of multiple sclerosis and the cost-effectiveness of disease-modifying therapies.

An Innovative Approach to Modelling the Optimal Treatment Sequence for Patients with Relapsing-Remitting Multiple Sclerosis: Implementation, Validation, and Impact of the Decision-Making Approach

INTRODUCTION

An innovative computational model was developed to address challenges regarding the evaluation of treatment sequences in patients with relapsing-remitting multiple sclerosis (RRMS) through the concept of a 'virtual' physician who observes and assesses patients over time. We describe the implementation and validation of the model, then apply this framework as a case study to determine the impact of different decision-making approaches on the optimal sequence of disease-modifying therapies (DMTs) and associated outcomes.

METHODS

A patient-level discrete event simulation (DES) was used to model heterogeneity in disease trajectories and outcomes. The evaluation of DMT options was implemented through a Markov model representing the patient's disease; outcomes included lifetime costs and quality of life. The DES and Markov models underwent internal and external validation. Analyses of the optimal treatment sequence for each patient were based on several decision-making criteria. These treatment sequences were compared to current treatment guidelines.

RESULTS

Internal validation indicated that model outcomes for natural history were consistent with the input parameters used to inform the model. Costs and quality of life outcomes were successfully validated against published reference models. Whereas each decision-making criterion generated a different optimal treatment sequence, cladribine tablets were the only DMT common to all treatment sequences. By choosing treatments on the basis of minimising disease progression or number of relapses, it was possible to improve on current treatment guidelines; however, these treatment sequences were more costly. Maximising cost-effectiveness resulted in the lowest costs but was also associated with the worst outcomes.

CONCLUSIONS

The model was robust in generating outcomes consistent with published models and studies. It was also able to identify optimal treatment sequences based on different decision criteria. This innovative modelling framework has the potential to simulate individual patient trajectories in the current treatment landscape and may be useful for treatment switching and treatment positioning decisions in RRMS.

The Potential Cost-Effectiveness of a Cell-Based Bioelectronic Implantable Device Delivering Interferon-β1a Therapy Versus Injectable Interferon-β1a Treatment in Relapsing-Remitting Multiple Sclerosis

BACKGROUND

Current first-line disease-modifying therapies (DMT) for multiple sclerosis (MS) patients are injectable or oral treatments. The Optogenerapy consortium is developing a novel bioelectronic cell-based implant for controlled release of beta-interferon (IFNβ1a) protein into the body. The current study estimated the potential cost effectiveness of the Optogenerapy implant (hereafter: Optoferon) compared with injectable IFNβ1a (Avonex).

METHODS

A Markov model simulating the costs and effects of Optoferon compared with injectable 30 mg IFNβ1a over a 9-year time horizon from a Dutch societal perspective. Costs were reported in 2019 Euros and discounted at a 4% annual rate; health effects were discounted at a 1.5% annual rate. The cohort consisted of 35-year-old, relapsing-remitting MS patients with mild disability. The device is implanted in a daycare setting, and is replaced every 3 years. In the base-case analysis, we assumed equal input parameters for Optoferon and Avonex regarding disability progression, health effects, adverse event probabilities, and acquisition costs. We assumed reduced annual relapse rates and withdrawal rates for Optoferon compared with Avonex. Sensitivity, scenario, value of information, and headroom analysis were performed.

RESULTS

Optoferon was the dominant strategy with cost reductions (- €26,966) and health gains (0.45 quality-adjusted life-years gained). A main driver of cost differences are the acquisition costs of Optoferon being 2.5 times less than the costs of Avonex. The incremental cost-effectiveness ratio was most sensitive to variations in the annual acquisition costs of Avonex, the annual withdrawal rate of Avonex and Optoferon, and the disability progression of Avonex.

CONCLUSION

Innovative technology such as the Optoferon implant may be a cost-effective therapy for patients with MS. The novel implantable mode of therapeutic protein administration has the potential to become a new mode of treatment administration for MS patients and in other disease areas. However, trials are needed to establish safety and effectiveness.

How have Economic Evaluations in Relapsing Multiple Sclerosis Evolved Over Time? A Systematic Literature Review

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.

Modeling the Cost-Utility of Treatment Sequences for Multiple Sclerosis

OBJECTIVES

Most patients with multiple sclerosis (MS) switch between disease-modifying therapies (DMTs) during their lifetime. Our aim was to develop an MS cost-utility model that takes treatment switching into account to provide a more realistic estimate of treatment benefit than previous models that assume lifetime use of 1 DMT.

METHODS

A treatment sequence model using a microsimulation framework with a lifetime time horizon and a societal perspective was developed in R. Clinical plausibility and decision rules for switching were defined in consultation with Dutch MS neurologists. The ability of DMTs to prevent relapses and delay disease progression was modeled by applying DMT-specific estimates derived from a network meta-analysis of randomized controlled trials to natural history data. A total of 2 treatment strategies were compared: a first-line DMT sequence (peginterferon-glatiramer-teriflunomide-interferon-beta-dimethyl fumarate) and an escalation DMT sequence (peginterferon-glatiramer-ocrelizumab-natalizumab-alemtuzumab). Scenario analyses explored impact of alternative sources of natural history data, societal versus healthcare perspective, and condition-specific versus generic utilities. Predicted short-term switches (<5 years) were externally validated with Dutch claims data on DMT use.

RESULTS

Short-term switches predicted by the model compared well with Dutch claims data. Transition from relapsing-remitting MS to secondary progressive MS was delayed by the escalation sequence (24.7 vs 20.3 years on first-line sequence). Model results were sensitive to utility values and medical resource consumption was a large driver of uncertainty.

CONCLUSIONS

This microsimulation model overcomes the limitation of previous models by modeling treatment sequences. Because it better reflects clinical reality, it facilitates incorporating cost-utility information in clinical guidelines.

Exploring the Cost Effectiveness of Shared Decision Making for Choosing between Disease-Modifying Drugs for Relapsing-Remitting Multiple Sclerosis in the Netherlands: A State Transition Model

Background

Up to 31% of patients with relapsing-remitting multiple sclerosis (RRMS) discontinue treatment with disease-modifying drug (DMD) within the first year, and of the patients who do continue, about 40% are nonadherent. Shared decision making may decrease nonadherence and discontinuation rates, but evidence in the context of RRMS is limited. Shared decision making may, however, come at additional costs. This study aimed to explore the potential cost-effectiveness of shared decision making for RRMS in comparison with usual care, from a (limited) societal perspective over a lifetime.

Methods

An exploratory economic evaluation was conducted by adapting a previously developed state transition model that evaluates the cost-effectiveness of a range of DMDs for RRMS in comparison with the best supportive care. Three potential effects of shared decision making were explored: 1) a change in the initial DMD chosen, 2) a decrease in the patient’s discontinuation in using the DMD, and 3) an increase in adherence to the DMD. One-way and probabilistic sensitivity analyses of a scenario that combined the 3 effects were conducted.

Results

Each effect separately and the 3 effects combined resulted in higher quality-adjusted life years (QALYs) and costs due to the increased utilization of DMD. A decrease in discontinuation of DMDs influenced the incremental cost-effectiveness ratio (ICER) most. The combined scenario resulted in an ICER of €17,875 per QALY gained. The ICER was sensitive to changes in several parameters.

Conclusion

This study suggests that shared decision making for DMDs could potentially be cost-effective, especially if shared decision making would help to decrease treatment discontinuation. Our results, however, may depend on the assumed effects on treatment choice, persistence, and adherence, which are actually largely unknown.

Predictors of Health Utility in Relapsing-Remitting and Secondary-Progressive Multiple Sclerosis: Implications for Future Economic Models of Disease-Modifying Therapies

BACKGROUND

Decision-analytic models used in economic evaluations of disease-modifying therapies for relapsing-remitting multiple sclerosis (RRMS) have characterized disease progression and accrue quality-adjusted life-years from utility values based on the Expanded Disability Status Scale (EDSS), the occurrence of relapses, and progression to secondary-progressive multiple sclerosis (SPMS). The EDSS, used to characterize disability progression, has several limitations. If the EDSS is the only disability measure used in economic evaluations, the long-term clinical and economic implications of disease-modifying therapies may not be properly assessed.

OBJECTIVE

The objective of this study was to explore if supplementary disability measures including the Timed 25-Foot Walk (T25FW), 9-Hole Peg Test (9HPT), and Paced Auditory Serial Addition Test (PASAT) significantly contribute additional information on health utility in RRMS and SPMS otherwise not captured by the EDSS and relapses and, therefore, should be considered in future economic evaluations of disease-modifying therapies.

METHODS

Short-Form Six-Dimension utility scores were derived from the RAND 36-Item Health Survey 1.0 individual-level data available in the Multiple Sclerosis Outcome Assessment Consortium (MSOAC) Placebo Database. Repeated-measures mixed-effects models were conducted to estimate the effects of EDSS, T25FW, 9HPT (dominant and non-dominant hand), PASAT, and relapses on changes in utility over time, controlling for demographics.

RESULTS

A higher level of EDSS, longer time to complete the T25FW test, and a recent relapse were significant predictors of lower utility in people with RRMS and SPMS. 9HPT and PASAT were not significant predictors.

CONCLUSIONS

This study suggests that in addition to EDSS and recent relapses, T25FW significantly predicts utility in RRMS and SPMS. These findings support the use of T25FW to supplement the EDSS and the occurrence of relapses to characterize the course of disease progression and to more accurately accrue quality-adjusted life-years in future economic evaluations of disease-modifying therapies for the treatment of RRMS.

Modeling the cost-effectiveness of prolonged-release fampridine for the treatment of walking impairment in patients with multiple sclerosis in Sweden

Aims: To evaluate the cost-effectiveness of adding prolonged-release (PR)-fampridine to best supportive care (BSC) versus BSC alone for the improvement of walking ability in patients with MS.Methods: A cost-utility analysis based on a Markov model was developed to model responders and timed 25-foot walk (T25FW) scores, accumulated costs, and quality-adjusted life-years (QALY) in adults with MS and Expanded Disability Status Scale (EDSS) scores between 4 and 7. The analysis was conducted from a Swedish societal perspective.Results: In the base-case analysis, PR-fampridine plus BSC led to a higher QALY gain than BSC alone. The largest direct cost was professional care provision followed by hospital inpatient stays while the indirect cost was the loss of earnings due to days off work. The incremental cost-effectiveness ratio (ICER) for PR-fampridine plus BSC compared with BSC alone was 57,109 Swedish Kronor (kr)/QALY (€5,607/QALY [1 kr = €0.0981762 on 8 April 2021] and $6,675/QALY [1 kr = $0.116890 on 8 April 2021]). All sensitivity analyses performed resulted in ICERs below 500,000 kr (€49,088 and $58,445).Limitations: Resource use data were not specific to the Swedish market.Conclusions: PR-fampridine represents a cost-effective treatment for MS-related walking impairment in Sweden, due to improvements in patients' quality of life and reduced healthcare resource utilization.

Desirability and acceptability of a treatment-sequencing model in relapsing-remitting multiple sclerosis: A health technology assessment perspective

OBJECTIVE

Gather health technology assessment (HTA) experts' insights on the desirability and acceptability of treatment-sequencing models applied to relapsing-remitting multiple sclerosis (RRMS).

DATA SOURCE/STUDY SETTING

Primary data.

STUDY DESIGN

In-depth double-blind semi-structured telephone interviews.

DATA COLLECTION/EXTRACTION METHODS

General themes were extracted from qualitative interviews.

PRINCIPAL FINDINGS

Although experts confirmed the importance of evaluating the clinical and cost-effectiveness of treatments as part of a sequence, the current HTA decision making framework is not conducive to this. Developing an RRMS treatment-sequencing model that meets HTA requirements is difficult, in particular due to scarcity of effectiveness data in later treatment lines.

CONCLUSIONS

At present, a treatment-sequencing model for RRMS may be desirable yet not requested by HTA bodies for their decision making. However, there could be other areas where a treatment-sequencing model for RRMS is of use.

Pharmacoeconomics of synthetic therapies for multiple sclerosis

Introduction: Recently, the economic impact of multiple sclerosis (MS), which includes both direct and indirect costs, has been increasing. While direct costs comprise health-care costs, such as the cost of pharmaceuticals, additional treatments such as physiotherapy, and medical aids, indirect costs are triggered by the productivity loss of patients and caregivers. Although new drugs for MS have changed the therapeutic scenario, they have increased the direct costs of health-care services. Areas covered: This review describes the pharmacoeconomic aspects of synthetic therapies for MS. Additionally, it discusses the economic impact of the various classes of licensed disease-modifying treatments (DMTs) for relapsing forms of MS. Expert opinion: The emerging and more expensive DMTs for MS represent a considerable challenge for health-care systems and resource consumption. Future research should focus on the long-term efficacy of DMTs and the cost of treating MS in a real-life setting. Future biological and radiological biomarkers could help stratify patients at early stages of MS, helping physicians design a personalized therapeutic approach that could have a positive impact in economic terms.

Cost-effectiveness of Teriflunomide Compared to Interferon Beta-1b for Relapsing Multiple Sclerosis Patients in China

Background and Objective

Teriflunomide is a once-daily oral immunomodulatory agent approved in 80 countries for the treatment of patients with relapsing multiple sclerosis (RMS). The study objective was to estimate the cost effectiveness of teriflunomide (14 mg tablet, daily) versus interferon beta-1b (250 mcg subcutaneous injection, every other day) among RMS patients from the Chinese healthcare system perspective.

Methods

A Markov model with annual cycles and a lifetime horizon was utilized to assess cost-effectiveness of teriflunomide in comparison with interferon beta-1b in RMS patients. Treatment effects, including 3-month confirmed disability worsening and annualized relapse rate, were derived from a network meta-analysis. Cost inputs included costs related to treatment acquisition, administration, monitoring, natural disease management through Expanded Disability Status Scale states, relapse treatment, and adverse event management. These costs were calculated as the product between unit costs from published sources and healthcare resource utilization patterns identified in a survey conducted among 11 neurologists across different areas in China. Health effects were expressed as quality-adjusted life years (QALYs) with costs in local currency (¥) and US dollars (US$), 2018.

Results

Teriflunomide dominated interferon beta-1b and was associated with lower total costs (teriflunomide ¥1,887,144 vs interferon beta-1b ¥2,061,393) and higher QALYs (teriflunomide 9.60 QALYs vs interferon beta-1b 8.88 QALYs). In probabilistic sensitivity analysis, teriflunomide was dominant in 62.2% of model runs.

Conclusion

Teriflunomide is a cost-effective therapy over a lifetime time horizon compared to interferon beta-1b in the treatment of RMS patients in China. Results should be interpreted with caution as head-to-head comparisons are not available.

Electronic supplementary material

The online version of this article (10.1007/s40261-019-00750-3) contains supplementary material, which is available to authorized users.