Nonpharmacological intervention therapies for dementia: potential break-even intervention price and savings for selected risk factors in the European healthcare system

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F24%3A50021477" target="_blank" >RIV/62690094:18450/24:50021477 - isvavai.cz</a>

Alternative codes found

RIV/00179906:_____/24:10483773

Result on the web

<a href="https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-024-18773-7" target="_blank" >https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-024-18773-7</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1186/s12889-024-18773-7" target="_blank" >10.1186/s12889-024-18773-7</a>

Result language

angličtina

Original language name

Nonpharmacological intervention therapies for dementia: potential break-even intervention price and savings for selected risk factors in the European healthcare system

Original language description

Background New effective treatments for dementia are lacking, and early prevention focusing on risk factors ofdementia is important. Non-pharmacological intervention therapies aimed at these factors may provide a valuabletool for reducing the incidence of dementia. This study focused on the development of a mathematical model topredict the number of individuals with neurodegenerative diseases, specifically Alzheimer’s disease, Parkinson’sdisease, vascular dementia, and amyotrophic lateral sclerosis. Scenarios for non-pharmacological interventiontherapies based on risk factor reduction were also assessed. The estimated total costs and potential cost savings fromsocietal were included.Methods Based on demographic and financial data from the EU, a mathematical model was developed to predictthe prevalence and resulting care costs of neurodegenerative diseases in the population. Each disease (Alzheimer’sdisease, Parkinson’s disease, vascular dementia, and amyotrophic lateral sclerosis) used parameters that includedprevalence, incidence, and death risk ratio, and the simulation is related to the age of the cohort and the diseasestage.Results A replicable simulation for predicting the prevalence and resulting cost of care for neurodegenerativediseases in the population exhibited an increase in treatment costs from 267 billion EUR in 2021 to 528 billion EUR by2050 in the EU alone. Scenarios related to the reduction of the prevalence of dementia by up to 20% per decade ledto total discounted treatment cost savings of up to 558 billion EUR.Conclusion The model indicates the magnitude of the financial burden placed on EU healthcare systems due to thegrowth in the population prevalence of neurodegenerative diseases in the coming decades. Lifestyle interventionsbased on reducing the most common risk factors could serve as a prevention strategy to reduce the incidence ofdementia with substantial cost-savings potential. These findings could support the implementation of public healthapproaches throughout life to ultimately prevent premature mortality and promote a healthier and more activelifestyle in older individuals.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

30305 - Occupational health

Project

<a href="/en/project/EF18_069%2F0010054" target="_blank" >EF18_069/0010054: IT4Neuro(degeneration)</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

BMC Public Health

ISSN

1471-2458

e-ISSN

1471-2458

Volume of the periodical

24

Issue of the periodical within the volume

1

Country of publishing house

GB - UNITED KINGDOM

Number of pages

13

Pages from-to

"Article number: 1293"

UT code for WoS article

001256093000008

EID of the result in the Scopus database

2-s2.0-85192939937