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ANCIEN. Typologies of LTC systems based on use and financing of care Esther Mot (CPB), Peter Willem é (FPB) Does Europe care?, European conference on long term care and diversity, April 28, 2011. Long-term care for the elderly. ANCIEN, general information.
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ANCIEN Typologies of LTC systems based on use and financing of care Esther Mot (CPB), Peter Willemé (FPB) Does Europe care?, European conference on long term care and diversity, April 28, 2011
ANCIEN, general information • Assessing Needs of Care in European Nations • research for EC in 7th Framework Programme • January 2009 – August 2012 • 21 EU-countries included
ANCIEN, general information 2 • Coordination: • Center for European Policy Studies (CEPS): Güldem Okem • Scientific coordination • Federal Planning Bureau (FPB): Peter Willemé • Netherlands Bureau for Economic Policy Analysis (CPB): Esther Mot • Work package 1 • managed by Institute for Advanced Studies, Vienna
ANCIEN, objectives • describe and characterise systems of LTC in Europe • analyse the need for care (in relation to demography and lifestyle) • analyse developments in the supply and demand for formal and informal care • analyse the potential role of technology in solving LTC problems
ANCIEN, objectives continued • analyse efforts to improve the quality of LTC • project the use of LTC on the basis of developments in need and supply • evaluate the performance of different types of LTC systems
Work Package 1 • description of LTC-systems in Europe • development of typology • selection of countries to model • needs (demography, lifestyle) • supply (formal and informal) • use of care
WP1, data collection • data on LTC collected by national experts • standardised format • problems with data collection • country reports • typologies
WP1, two methods of clustering • mostly organisational, 21 countries • for example choice of provider, quality assurance • use and financing of care, 14 countries
Use and financing typology • selection of 8 metric variables for 14 countries • factor analysis on 8 variables, 4 variables used • cluster-analysis
Variables • public spending* (related to GDP and needs) • share of private expenditures* • informal care use* • IC support* • formal care use • role of cash benefits • accessibility • targeting
Countries to be modelled (considering data availability) • Germany • the Netherlands • Spain • Poland (?)
Conclusion • most new member states only to be analysed with organisational approach • 3 variables crucial for countries with better data: • needs-corrected public spending, private funding, informal care support
Conclusion 2 • stable clustering of Nordic countries with generous systems with large role for formal care (under different approaches): • Sweden, Denmark, Netherlands • important role for informal care in all other clusters • distinction by private financing, IC support, use of formal care, role of cash benefits
Conclusion 3 • large impact of available information • different clustering with richer dataset • diverse cluster of countries • informal care oriented + high private financing: Austria, England, Finland, France, Spain
Conclusion 4 • Italy and Spain not in the same cluster, despite shared importance informal care, mostly because of IC support • Finland not in Nordic cluster (private financing)
More information: • http://www.ancien-longtermcare.eu/ • general information • country reports on LTC systems • typology report: Kraus, M., M. Riedel, E. Mot, P. Willemé, G. Röhrling, T. Czypionka (2010), A typology of systems of Long-Term Care in Europe - Results of Work Package 1 of the ANCIEN Project • mot@cpb.nl (Netherlands Bureau for Economic Policy Analysis)