Modelling the value of innovative treatments for Alzheimer's disease in the United States

People get ready! A new generation of Alzheimer's therapies may require new ways to deliver and pay for healthcare

The development of disease-modifying therapies (DMTs) for Alzheimer's disease (AD) has progressed over the last decade, and the first-ever therapies with potential to slow the progression of disease are approved in the United States. AD DMTs could provide life-changing opportunities for people living with this disease, as well as for their caregivers. They could also ease some of the immense societal and economic burden of dementia. However, AD DMTs also come with major challenges due to the large unmet medical need, high prevalence of AD, new costs related to diagnosis, treatment and monitoring, and uncertainty in the therapies' actual clinical value. This perspective article discusses, from the broad perspective of various health systems and stakeholders, how we can overcome these challenges and improve society's readiness for AD DMTs. We propose that innovative payment models such as performance-based payments, in combination with learning healthcare systems, could be the way forward to enable timely patient access to treatments, improve accuracy of cost-effectiveness evaluations and overcome budgetary barriers. Other important considerations include the need for identification of key drivers of patient value, the relevance of different economic perspectives (i.e. healthcare vs. societal) and ethical questions in terms of treatment eligibility criteria.

Value elements and methods of value-based pricing for drugs in Japan: a systematic review

INTRODUCTION

Value-based pricing (VBP) can be a promising tool for optimizing drug prices. However, there is no consensus on the specific value elements and pricing method that should be used for VBP.

AREAS COVERED

We performed a systematic review and narrative synthesis to investigate the value elements and pricing method for VBP. The main inclusion criterion was that value elements, VBP method, and estimated prices for actual drugs were reported. We performed a search in MEDLINE and ICHUSHI Web. Eight articles met the selection criteria. Four studies adopted the cost-effectiveness analysis (CEA) approach and the others used different approaches. The CEA approach included the value elements of productivity, value of hope, real option value, disease severity, insurance value in addition to costs and quality-adjusted life years. The other approaches used efficacy, toxicity, novelty, rarity, research and development costs, prognosis, population health burden, unmet needs, and effectiveness. Each study used individual methods to quantify these broader value elements.

EXPERT OPINION

Both conventional and broader value elements are used for VBP. To allow VBP to be widely applied to various diseases, a simple, versatile method is preferable. Further research is needed to establish VBP method which enables to incorporate broader values.

Amylin and Secretases in the Pathology and Treatment of Alzheimer's Disease

Alzheimer's disease remains a prevailing neurodegenerative condition which has an array physical, emotional, and financial consequences to patients and society. In the past decade, there has been a greater degree of investigation on therapeutic small peptides. This group of biomolecules have a profile of fundamentally sound characteristics which make them an intriguing area for drug development. Among these biomolecules, there are four modulatory mechanisms of interest in this review: alpha-, beta-, gamma-secretases, and amylin. These protease-based biomolecules all have a contributory role in the amyloid cascade hypothesis. Moreover, the involvement of various biochemical pathways intertwines these peptides to have shared regulators (i.e., retinoids). Further clinical and translational investigation must occur to gain a greater understanding of its potential application in patient care. The aim of this narrative review is to evaluate the contemporary literature on these protease biomolecule modulators and determine its utility in the treatment of Alzheimer's disease.

Predicted Lifetime Health Outcomes for Aducanumab in Patients with Early Alzheimer's Disease

INTRODUCTION

Alzheimer's disease (AD) is a chronic and progressive neurodegenerative disease that places a substantial burden on patients and caregivers. Aducanumab is the first AD therapy approved by the US Food and Drug Administration to reduce a defining pathophysiological feature of the disease, brain amyloid plaques. In the phase 3 clinical trial EMERGE (NCT02484547), aducanumab reduced clinical decline in patients with mild cognitive impairment (MCI) due to AD and mild AD dementia and confirmed amyloid pathology.

METHODS

We used a Markov modeling approach to predict the long-term clinical benefits of aducanumab for patients with early AD based on EMERGE efficacy data. In the model, patients could transition between AD severity levels (MCI due to AD; mild, moderate, and severe AD dementia) and care settings (community vs. institution) or transition to death. The intervention was aducanumab added to standard of care (SOC), and the comparator was SOC alone. Data sources for base-case and scenario analyses included EMERGE, published National Alzheimer's Coordinating Center analyses, and other published literature.

RESULTS

Per patient over a lifetime horizon, aducanumab treatment corresponded to 0.65 incremental patient quality-adjusted life-years (QALYs) and 0.09 fewer caregiver QALYs lost compared with patients treated with SOC. Aducanumab treatment translated to a lower lifetime probability of transitioning to AD dementia, a lower lifetime probability of transitioning to institutionalization (25.2% vs. 29.4%), delays in the median time to transition to AD dementia (7.50 vs. 4.92 years from MCI to moderate AD dementia or worse), and an incremental median time in the community of 1.32 years compared with SOC.

CONCLUSION

The model predicted long-term benefits of aducanumab treatment in patients with MCI due to AD and mild AD dementia and their caregivers. The predicted outcomes provide a foundation for healthcare decision-makers and policymakers to understand the potential clinical and socioeconomic value of aducanumab.