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Long-term care needs and the risk of household poverty across Europe: a comparative secondary data study
Long-term care needs and the risk of household poverty across Europe: a comparative secondary data study
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Long-term care needs and the risk of household poverty across Europe: a comparative secondary data study
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Long-term care needs and the risk of household poverty across Europe: a comparative secondary data study
Long-term care needs and the risk of household poverty across Europe: a comparative secondary data study

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Long-term care needs and the risk of household poverty across Europe: a comparative secondary data study
Long-term care needs and the risk of household poverty across Europe: a comparative secondary data study
Journal Article

Long-term care needs and the risk of household poverty across Europe: a comparative secondary data study

2024
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Overview
Purpose Population ageing and rising poverty are two of the most pressing issues today, even in Western European nations, growing as a result of the recent global economic crisis and the COVID-19 containment measures. This study explores the relationship between long-term care (LTC) needs and risk of poverty at household level in eight European countries, representing the different European care regimes. Methods The main international databases were scoured for study variables, categorized according to the following conceptual areas: home care, residential care, health expenditure, service coverage, cash benefits, private services, population, family, education, employment, poverty, disability and care recipients, and life expectancy. We initially identified 104 variables regarding 8 different countries (Austria, Finland, Germany, the Netherlands, Italy, Spain, Poland, Romania). Statistical analyses were conducted as described hereafter: analysis of the Pearson’s Bivariate Correlation between the dependent variable and all other variables; a Multivariable Linear Regression Model between the Poverty Index (dependent variable) and the covariates identified in the preceding step; a check for geographical clustering effects and a reduced Multivariable Linear Regression Model for each identified European cluster. Results The variables that addressed the risk of poverty pertained to the area of policy intervention and service provision. Rising private out-of-pocket health expenditures and proportion of “poor” couples with at least one child are two factors that contributed significantly to poverty increasing. Moreover, rising private out-of-pocket health expenditures for covering LTC needs (even in presence of public financial contribution to the family) is the main contributor to household poverty increasing in presence of ADL disability. Conclusion The results reveal the existence of a clear correlation between the need for LTC and the risk of poverty in households across Europe. These results highlight the central relevance of LTC policies, which are often still treated as marginal and sectoral, for the future sustainability of integrated care strategies.