Estimating the Future Health and Social Care Costs of Alzheimer's Disease Dementia in the UK: Impact of Disease Modifying Therapy Efficacy, Uptake, and Care Model – A Scenario Modelling Study
Marc Evans, Craig Ritchie, Dominic Trepel, Julie Hviid Hahn‐Pedersen, Jamie Kettle, Mei Sum Chan, Benjamin D. Bray, Alice Clark, Milana Ivkovic, Christian Ahmad Wichmann, Sophie Edwards

TL;DR
This study models how new Alzheimer's treatments could reduce future healthcare costs in the UK by slowing disease progression and changing care models.
Contribution
The study introduces a novel scenario-based model that incorporates DMT efficacy, uptake, and care delivery models to estimate long-term cost impacts of Alzheimer's therapies.
Findings
Alzheimer's dementia cases could decrease by 34,000–98,000 by 2040 with DMTs.
Primary care follow-up models generate larger cost savings (£4.4–12.9 billion) than specialist care.
Cost offsets accelerate about five years after DMT introduction and depend on treatment adoption speed and scale.
Abstract
To model scenarios exploring potential impacts of disease‐modifying therapies (DMTs) for Alzheimer's disease (AD) dementia on future health and social care costs in the United Kingdom. A cohort Markov model was developed using population projections and published AD epidemiological data. Stage‐specific transition rates (mild cognitive impairment due to AD and mild, moderate, severe AD dementia) and health and social care cost data were applied to estimate cost outcomes over 2020–2040. Potential proportion of eligible population receiving treatment (uptake) and follow‐up care models (primary vs. specialist care) were elicited from expert opinion. Scenarios combined ranges of DMT efficacy estimates, uptake, and care model. DMT price was excluded due to no UK precedent. Without DMT access, 1,038,405 people (1.5%) were projected to have AD dementia by 2040. Under the various DMT treatment…
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Taxonomy
TopicsDementia and Cognitive Impairment Research · Alzheimer's disease research and treatments · Health Systems, Economic Evaluations, Quality of Life
