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

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/00179906:_____/24:10483773

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30305 - Occupational health

Projekt

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

Návaznosti

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

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název periodika

BMC Public Health

ISSN

1471-2458

e-ISSN

1471-2458

Svazek periodika

24

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

13

Strana od-do

"Article number: 1293"

Kód UT WoS článku

001256093000008

EID výsledku v databázi Scopus

2-s2.0-85192939937