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Die zukünftige Entwicklung von Demenzerkrankungen in Deutschland – ein Vergleich unterschiedlicher Prognosemodelle

  • Dementia is one of the most frequent diseases of people aged 65 and older. As a result of the upcoming demographic transition, a significant increase is expected to the current number of around 1.7 million dementia patients. A precise estimate of this increase is especially important for decision-makers and payers to the health-care system. This study examined the effects of different assumptions on the future frequency of disease using a time-discrete Markov model with population-related and disease-specific components. Based on health insurers' administrative data from AOK Baden-Württemberg, we determined age- and gender-specific prevalence rates, incidence rates, and mortality differences of dementia patients and combined them with demographic components from German population statistics. As a result, our Markov model showed a 20 to 25% higher number of dementia patients in 2030, compared to the results of the status quo projection applied in most previous studies, with the assumption of constant prevalence rates over time. Hence, our results indicate that even in the medium term payers will have to face significant increases in dementia-related health expenditures. By 2060, the number of dementia patients in Germany would rise to 3.3 million assuming a further increase to life expectancy and constant incidence rates over time. The assumption of a compression of the morbidity would reduce this number to 2.6 million.

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Author:Valeska Milan, Stefan FetzerORCiD
Institutional Author:Stefan Fetzer
Institutional Author:Valeska Milan
Source Title (German):Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
Title Additional (German):The future development of dementia diseases in Germany-a comparison of different forecast models
Document Type:Article
Year of Completion:2019
Release Date:2021/05/11
Tag:Aged; Cost of Illness; Dementia/epidemiology; Forecasting/methods; Germany/epidemiology; Health Expenditures/statistics & numerical data/trends; Humans; Incidence; Insurance Claim Reporting/statistics & numerical data; Life Expectancy; Long-Term Care/economics/statistics & numerical data; Markov Chains; Prevalence
Number of Pages:10
First Page:993
Last Page:1003
Relevance:peer reviewed