BACKGROUND: New effective treatments for dementia are lacking, and early prevention focusing on risk factors of dementia is important. Non-pharmacological intervention therapies aimed at these factors may provide a valuable tool for reducing the incidence of dementia. This study focused on the development of a mathematical model to predict the number of individuals with neurodegenerative diseases, specifically Alzheimer's disease, Parkinson's disease, vascular dementia, and amyotrophic lateral sclerosis. Scenarios for non-pharmacological intervention therapies based on risk factor reduction were also assessed. The estimated total costs and potential cost savings from societal were included. METHODS: Based on demographic and financial data from the EU, a mathematical model was developed to predict the prevalence and resulting care costs of neurodegenerative diseases in the population. Each disease (Alzheimer's disease, Parkinson's disease, vascular dementia, and amyotrophic lateral sclerosis) used parameters that included prevalence, incidence, and death risk ratio, and the simulation is related to the age of the cohort and the disease stage. RESULTS: A replicable simulation for predicting the prevalence and resulting cost of care for neurodegenerative diseases in the population exhibited an increase in treatment costs from 267 billion EUR in 2021 to 528 billion EUR by 2050 in the EU alone. Scenarios related to the reduction of the prevalence of dementia by up to 20% per decade led to 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 the growth in the population prevalence of neurodegenerative diseases in the coming decades. Lifestyle interventions based on reducing the most common risk factors could serve as a prevention strategy to reduce the incidence of dementia with substantial cost-savings potential. These findings could support the implementation of public health approaches throughout life to ultimately prevent premature mortality and promote a healthier and more active lifestyle in older individuals.

• Klíčová slova
• Alzheimer’s disease, Amyotrophic lateral sclerosis, Dementia, Non-pharmacological intervention, Parkinson’s disease, Population prediction, Vascular dementia,
• MeSH
• demence * ekonomika   epidemiologie   prevence a kontrola   MeSH
• lidé středního věku MeSH
• lidé MeSH
• náklady na zdravotní péči statistika a číselné údaje   MeSH
• prevalence MeSH
• rizikové faktory MeSH
• senioři nad 80 let MeSH
• senioři MeSH
• teoretické modely MeSH
• úspory nákladů MeSH
• Check Tag
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• senioři nad 80 let MeSH
• senioři MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Geografické názvy
• Evropa epidemiologie   MeSH

BACKGROUND: To enable people to live in old age in their own homes often requires specialised home care services. Despite the high importance of these services, the finance of home nursing care (HNC) is still under-investigated in many countries. The aim of this paper was to describe the finance of HNC in the Czech Republic. METHODS: Balancing of revenues and costs was done using structured questionnaires from the closed accounting year 2018 as a monthly average. Nonparametric Kruskal-Wallis and Wilcoxon signed ranks tests were used to test hypotheses. RESULTS: Data from 62 providers were analysed. The data included information from a total of 2297 patients and 995 employees. The average of total costs were € 17,591.7 (95% CI 14,175.3 - 21,008.1) and average of total revenues were € 17,276.5 (95% CI 13,923.5 - 20,629.5). The average cost per a patient was € 516.0 (95% CI 465.9-566.1) and the average revenues were € 500.1 (95% CI 457.0-543.3). CONCLUSIONS: The overall financial balance of HNC providers seems to be balanced in the Czech Republic. Nevertheless, insurance, although it should, did not cover all the costs. Micro- providers tended to be cheaper regarding the hours worked by nurses.

• Klíčová slova
• Direct costs, Home care services, Indirect costs, Long-term care,
• Publikační typ
• časopisecké články MeSH

Increasing life expectancy in modern society is undoubtedly due to improved healthcare, scientific advances in medicine, and the overall healthy lifestyle of the general population. However, this positive trend has led to an increase in the number of older people with a growing need for a sustainable system for the long-term care of this part of the population, which includes social and health services that are essential for a high quality of life. Longevity also brings challenges in the form of a polymorbid geriatric population that places financial pressure on healthcare systems. Regardless, one disease dominates the debate about financial sustainability due to the increasing numbers of people diagnosed, and that is Alzheimer's disease (AD). The presented paper aims to demonstrate the economic burden of social and healthcare services. Data from two regions in the Czech Republic were selected to demonstrate the potential scope of the problem. The future costs connected with AD are calculated by a prediction model, which is based on a population model for predicting the number of people with AD between 2020 and 2070. Based on the presented data from the two regions in the Czech Republic and the prediction model, several trends emerged. There appears to be a significant difference in the annual direct costs per person diagnosed with AD depending on the region in which they reside. This may lead to a significant inequality of the services a person can acquire followed by subsequent social issues that can manifest as a lower quality of life. Furthermore, given the prediction of the growing AD population, the costs expressed in constant prices based on the year 2020 will increase almost threefold during the period 2020-2070. The predicted threefold increase will place additional financial pressure on all stakeholders responsible for social and healthcare services, as the current situation is already challenging.

• Klíčová slova
• Alzheimer’s disease, Czech Republic, costs, prediction model,
• Publikační typ
• časopisecké články MeSH

BACKGROUND: In this paper, we analyse the economic burden of elder care in the Czech Republic by assessing how family members of senior citizens engage in caregiving. To do this, we examined the time and cost associated with caregiving as a function of age, gender, and income of the caregiver. METHODS: A questionnaire comprising 17 items was used to gather data from 155 informal caregivers whose seniors are affiliated with 200 registered home care agencies. Spearman rank correlation was adopted to analyse how caregivers' income, age and gender influences the costs accrued and time spent in caring for elders. The expenses are divided into direct and indirect. Publicly available sources are used to establish expenses on treatment and medication, which cannot be determined by the questionnaire survey. RESULTS: Results show that around-the-clock care is the most common. Spouses of care recipients make up the highest number of caregivers, and women represent the largest portion of this group. Additionally, the more the time spent caring for an elder, the higher the cost associated with such care. The total annual burden of informal caregivers is determined by the sum of annual average indirect costs, amounting to € 36,888, and annual direct costs, amounting to € 2775, resulting in a total of € 39,663 per year. CONCLUSION: Czech social policymakers should begin to consider better packages for caregivers in the form of incentives and other monetary benefits to improve living standards and care for ageing seniors.

• Klíčová slova
• Burden, Disease, Family caregivers, Home care, Seniors,
• MeSH
• lidé MeSH
• osobní újma zaviněná nemocí * MeSH
• osoby pečující o pacienty * MeSH
• průzkumy a dotazníky MeSH
• rodina MeSH
• senioři MeSH
• Check Tag
• lidé MeSH
• senioři MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Geografické názvy
• Česká republika epidemiologie   MeSH

BACKGROUND: Multiple sclerosis (MS) is a progressive autoimmune disease of the central nervous system that is often disabling and for which there is currently no cure, though disease-modifying treatment is now available. The aim of this study is to describe the current values of the direct costs of multiple sclerosis (MS) in the Czech Republic. METHODS: Attention is focused on direct medical costs. The costs were monitored in the Czech Republic among 5673 patients in the period between 2011 and 2015. These costs included complex, special and targeted visits at the neurologist, blood collection and the costs of hospitalisation. The results refer to the diagnoses according to the International Statistical Classification of Diseases and Related Health Problems. The attention is focused on MS G35 (NS; brain stem; spinal cord; disseminated; generalised). RESULTS: The average total direct costs per patient per year are 4838.1 €. Not every patient has to be hospitalised during the year, and not every patient has prescribed medication. According to the above data, 12% of patients are hospitalised and 55% of patients are prescribed medication. The minimum average cost per patient without medication and hospitalisation is 54.1 €. CONCLUSION: Cost evaluation across countries is difficult due to the different evidence. If only selected direct costs considered in this study are compared, the absolute economics burden increases over time. The only statistically significant difference in the average price and the time spent is between 2012 and 2013, where the correlation value is 0.597.

• Klíčová slova
• Czech Republic, Direct costs, Multiple sclerosis, Neurological disease,
• MeSH
• hospitalizace ekonomika   MeSH
• lidé MeSH
• náklady a analýza nákladů MeSH
• osobní újma zaviněná nemocí * MeSH
• retrospektivní studie MeSH
• roztroušená skleróza ekonomika   epidemiologie   terapie   MeSH
• Check Tag
• lidé MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• Geografické názvy
• Česká republika epidemiologie   MeSH