A probabilistic projection of beneficiaries of long-term care insurance in Germany by severity of disability

Demographic aging puts social insurance systems under immense pressure as frailty risks increase with age. The statutory long-term care insurance in Germany (GPV), whose society has been aging for decades due to low fertility and decreasing mortality, faces massive future pressure. The present study...

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Bibliographic Details
Published in:Quality & quantity 2020-06, Vol.54 (3), p.943-974
Main Authors: Vanella, Patrizio, Heß, Moritz, Wilke, Christina B.
Format: Article
Language:English
Subjects:
Age differences
Beneficiaries
Demographic change
Disability
Epidemiology
Fertility
Financial services industry
Forecasting
Forecasts and trends
Frail
Health aspects
Health insurance
Long term care insurance
Long term health care
Methodology of the Social Sciences
Monte Carlo method
Nurses
Prevalence studies (Epidemiology)
Severity
Simulation
Social Sciences
Social security
Social systems
Time series
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Summary:Demographic aging puts social insurance systems under immense pressure as frailty risks increase with age. The statutory long-term care insurance in Germany (GPV), whose society has been aging for decades due to low fertility and decreasing mortality, faces massive future pressure. The present study presents a stochastic outlook on long-term care insurance in Germany until 2045 by forecasting the future number of frail persons who could claim insurance services by severity level with theory-based Monte Carlo simulations. The simulations result in credible intervals for age-, sex- and severity-specific care rates as well as the numbers of persons for all combinations of age, sex and severity by definition of the GPV on an annual basis. The model accounts for demographic trends through time series analysis and considers all realistic epidemiological developments by simulation. The study shows that increases in the general prevalence of disabilities, especially for severe disabilities, caused by the demographic development in Germany are unavoidable, whereas the influence of changes in age-specific care risks does not affect the outcome significantly. The results may serve as a basis for estimating the future demand for care nurses and the financial expenses of the GPV.
ISSN:0033-5177
1573-7845
DOI:10.1007/s11135-020-00968-w