Economics of Multiple Sclerosis Disease-Modifying Therapies in the USA

The cost-of-illness of multiple sclerosis in Jordan

BACKGROUND

Multiple Sclerosis (MS) imposes a significant financial burden on health-care systems. This study aims to determine the cost-of-illness (COI) for MS in Jordan, a country where data on the economic impact of MS are scarce.

METHODS

Data were collected for one year, annual COI was estimated using a cross-sectional snowball sampling design. Eligible patients completed a self-reported questionnaire to provide sociodemographic, physician visit, and diagnostic and laboratory test data. Indirect costs were estimated using an adjusted Human Capital Approach.

RESULTS

This study included 383 patients, (73% females, 61% between 26-45). Eighty % took disease-modifying therapies (DMTs), and 40% had relapses in that year. One-third use non-DMTs and equipment for assistance. The average annual cost per patient was $11,719 (direct costs=$11,252, indirect costs=$467). The total annual cost for all participants was $748,299. The estimated cost of non-DMT, medical tools, diagnostic tests, and hospitalization per patient was $53, 51, 99, and 235 respectively.

CONCLUSION

High costs of DMTs state the necessity of resource optimization in Jordan public healthcare facilities. Such findings yield policy-informing actionable insights, suggesting strategic investments in more cost-effective DMTs with potential improvement in accessibility and reduction in the overall economic burden faced by both patients and governments.

Early use of high-efficacy therapies in multiple sclerosis in the United States: benefits, barriers, and strategies for encouraging adoption

Multiple sclerosis (MS) is characterized by progressive neuroinflammation and neurodegeneration from disease onset that, if left untreated, can result in the accumulation of irreversible neurological disability. Early intervention with high-efficacy therapies (HETs) is increasingly recognized as the best strategy to delay or mitigate disease progression from the earliest stages of the disease and to prevent long-term neurodegeneration. Although there is growing clinical and real-world evidence supporting early HET intervention, foregoing this strategy in favor of a traditional escalation approach prioritizing lower-efficacy disease-modifying therapies remains a common approach in clinical practice. This review explores potential health care professional- and patient-related barriers to the early use of HETs in patients with MS in the United States. Barriers can include regulatory and reimbursement restrictions; knowledge gaps and long-term safety concerns among health care professionals; and various individual, cultural, and societal factors affecting patients. Potential strategies for overcoming these barriers and encouraging early HET use are proposed.

Improving the classification of multiple sclerosis and cerebral small vessel disease with interpretable transfer attention neural network

As an autoimmune-mediated inflammatory demyelinating disease of the central nervous system, multiple sclerosis (MS) is often confused with cerebral small vessel disease (cSVD), which is a regional pathological change in brain tissue with unknown pathogenesis. This is due to their similar clinical presentations and imaging manifestations. That misdiagnosis can significantly increase the occurrence of adverse events. Delayed or incorrect treatment is one of the most important causes of MS progression. Therefore, the development of a practical diagnostic imaging aid could significantly reduce the risk of misdiagnosis and improve patient prognosis. We propose an interpretable deep learning (DL) model that differentiates MS and cSVD using T2-weighted fluid-attenuated inversion recovery (FLAIR) images. Transfer learning (TL) was utilized to extract features from the ImageNet dataset. This pioneering model marks the first of its kind in neuroimaging, showing great potential in enhancing differential diagnostic capabilities within the field of neurological disorders. Our model extracts the texture features of the images and achieves more robust feature learning through two attention modules. The attention maps provided by the attention modules provide model interpretation to validate model learning and reveal more information to physicians. Finally, the proposed model is trained end-to-end using focal loss to reduce the influence of class imbalance. The model was validated using clinically diagnosed MS (n=112) and cSVD (n=321) patients from the Beijing Tiantan Hospital. The performance of the proposed model was better than that of two commonly used DL approaches, with a mean balanced accuracy of 86.06 % and a mean area under the receiver operating characteristic curve of 98.78 %. Moreover, the generated attention heat maps showed that the proposed model could focus on the lesion signatures in the image. The proposed model provides a practical diagnostic imaging aid for the use of routinely available imaging techniques such as magnetic resonance imaging to classify MS and cSVD by linking DL to human brain disease. We anticipate a substantial improvement in accurately distinguishing between various neurological conditions through this novel model.

Real-World Healthcare Cost Savings and Reduced Relapse Rate with Off-Label Rituximab versus Disease-Modifying Treatments Approved for Relapsing-Remitting Multiple Sclerosis: A Nationwide Cost-Effectiveness Study

OBJECTIVE

Although off-label use of rituximab is a common alternative to disease-modifying therapies (DMTs) approved for multiple sclerosis (MS) in several countries, the impact of this on treatment cost-effectiveness is not well known.

METHODS

We evaluated the relative cost-effectiveness of rituximab and MS-approved DMTs in a register-based cohort study of Swedish residents with relapsing-remitting MS, aged 18-65 years, starting treatment with rituximab, natalizumab, fingolimod, or dimethyl fumarate between January 2010 and July 2016, and followed through July 2021 (n = 5,924). By linking the population-based Swedish MS register to several Swedish health care and demographic registers, we estimated health care costs in relation to number of relapses, over 5 years from treatment start. Differences between treatments were estimated in inverse probability of treatment-weighted regression models, adjusting for a broad range of potential confounders covering demographics, medical history, and MS-related clinical characteristics.

RESULTS

Off-label rituximab was associated with both lower total health care costs (mean cost savings ranged $35,000-$66,000 vs. each approved DMT), and fewer relapses (mean number of prevented relapses ranged 0.12-0.22), per started therapy over 5 years. Results were robust to variations in discounting and pricing of health care visits, with the main driver of cost-savings being the price of the index drug itself.

INTERPRETATION

The cost-effectiveness of rituximab dominated the MS-approved alternatives. Off-label, low-dose rituximab should be considered for persons with MS and could reduce barriers to treatment, especially in resource-limited settings. ANN NEUROL 2024;95:1099-1111.

MS care: integrating advanced therapies and holistic management

Lifestyle and environmental factors are key determinants in disease causality and progression in neurological conditions, including multiple sclerosis (MS). Lack of exercise, poor diet, tobacco smoking, excessive alcohol intake, social determinants of health, concomitant medications, poor sleep and comorbidities can exacerbate MS pathological processes by impacting brain health and depleting neurological reserves, resulting in more rapid disease worsening. In addition to using disease-modifying therapies to alter the disease course, therapeutic strategies in MS should aim to preserve as much neurological reserve as possible by promoting the adoption of a "brain-healthy" and "metabolically-healthy" lifestyle. Here, we recommend self-regulated lifestyle modifications that have the potential to improve brain health, directly impact on disease progression and improve outcomes in people with MS. We emphasise the importance of self-management and adopting a multidisciplinary, collaborative and person-centred approach to care that encompasses the healthcare team, family members and community support groups.

The Impact of Insurance Restrictions in Newly Diagnosed Individuals With Multiple Sclerosis

BACKGROUND

The medical system in the United States has been riddled with insurance restrictions used by insurance companies to limit health care costs. The effects of insurance restrictions on patients receiving disease-modifying therapies for multiple sclerosis (MS) have not been specifically studied.

METHODS

A retrospective cross-sectional study of 52 individuals recently diagnosed with MS at a tertiary neurology clinic was conducted to measure the association between prior authorization (PA) duration and other variables of interest. The Cox proportional hazards model was used to determine likelihood of approval. Further analysis included multivariable logistic regression to assess the influence of variables of interest on the initial decision from the insurance company and the effect of the PA on disease activity.

RESULTS

Of 52 PAs, 50% were initially denied. An initial denial decreased the likelihood of approval by 98% (HR, 0.02; 95% CI, <0.01-0.09; P < .001). The odds of denial for oral medications (odds ratio [OR], 4.91; 95% CI, 1.33-21.52; P = .02) and infusions (OR, 8.35; 95% CI, 1.10-88.77; P = .05) were significantly higher than for injections. Medicaid had higher odds of denial compared with commercial insurance (OR, 4.51; 95% CI, 1.13-22.01; P = .04). An initial denial by insurance significantly increased the likelihood of disease activity (OR, 6.18; 95% CI, 1.33-44.86; P = .03).

CONCLUSIONS

Insurance restrictions delay necessary treatments, increase the likelihood of disease activity, and rarely change the approved disease-modifying therapy. Reducing PAs may lead to improved outcomes for patients with MS.

Participant Perspectives on Community Qigong for People with Multiple Sclerosis

Introduction

Multiple sclerosis (MS) is a progressive neurodegenerative disorder affecting motor and nonmotor function including physical and cognitive decline, fatigue, anxiety, and depression. Qigong is a mind-body self-care practice with the potential to address MS symptoms. Publicly available community qigong classes may provide opportunities for people with MS to access qigong, but little is known about the risks and benefits. A mixed methods study of community qigong was conducted for people with MS. In this article, the results of this qualitative analysis to identify benefits and challenges faced by people with MS attending community qigong classes were presented.

Methods

Qualitative data were collected from an exit survey of 14 study participants with MS who enrolled in a pragmatic trial of community qigong classes for 10 weeks. Participants were new to community-based classes offered but some had experience with qigong/tai chi/other martial arts or yoga. Data were analyzed using reflexive thematic analysis.

Results and Discussion

Seven common themes were identified from this analysis: (1) physical function, (2) motivation/energy, (3) learning, (4) dedicating time for self, (5) meditation/centering/focus, (6) relaxation/stress relief, and (7) psychological/psychosocial. These themes reflected both positive and negative experiences with community qigong classes and home practice. Self-reported benefits centered around improved flexibility, endurance, energy, and focus; stress relief; and psychological/psychosocial benefits. Challenges included physical discomfort including short-term pain, balance difficulty, and heat intolerance.

Conclusion

The qualitative findings provide evidence to support qigong as a self-care practice that may benefit people with MS. The challenges identified in the study will help to inform future clinical trials of qigong for MS.

Trial Registration

ClinicalTrials.gov (CTR#: NCT04585659).

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.

Neurologic Therapeutics in 2035: The Neurology Future Forecasting Series

Therapeutic development has accelerated rapidly in the past 5 years in many neurologic and neurodegenerative diseases. The therapeutic categories of development include small molecules, genetic therapies, and cell-based therapies. Current development has provided novel treatment approaches to disorders without available treatment. However, the regulatory procedures to allow for access to these therapies is challenging, as is the ability to provide wide access to increasingly expensive therapies. By 2035, these challenges are likely to have accelerated and have the potential to create bottlenecks in drug approval and reduced access to patients. Innovative regulatory and payer solutions are required. In addition, ethical considerations around genetic therapies should be considered in current and future development. These approaches will ensure that patients with neurologic disease have broad access to highly innovative therapies.