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ANCIEN Overview of ANCIEN and classification of long-term care systems Esther Mot (Netherlands Bureau for Economic Policy Analysis, CPB), Peter Willemé (Federal Planning Bureau) iHEA, 8th World Congress on Health Economics, Toronto, July 10-13 2011

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ANCIEN. Overview of ANCIEN and classification of long-term care systems Esther Mot (Netherlands Bureau for Economic Policy Analysis, CPB), Peter Willem é (Federal Planning Bureau) iHEA, 8th World Congress on Health Economics , Toronto, July 10-13 2011. Long-term care for the elderly. - PowerPoint PPT Presentation

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Page 1: ANCIEN

ANCIENOverview of ANCIEN and classification of long-term care systems

Esther Mot (Netherlands Bureau for Economic Policy Analysis, CPB), Peter Willemé (Federal Planning Bureau)

iHEA, 8th World Congress on Health Economics, Toronto, July 10-13 2011

Page 2: ANCIEN

Long-term care for the elderly

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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

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Typologies of LTC systems

Results of Work package 1

managed by Institute for Advanced Studies, Vienna

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

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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

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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

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Aims of Work Package 1

description of LTC-systems in Europe

development of typologies designed for analysis of LTC systems (as opposed to more

general welfare state typologies)

selection of countries to model needs (demography, lifestyle) supply (formal and informal) use of care

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WP1, steps data on LTC collected by national experts

standardised format problems with data collection

country reports

typologies

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Characteristics for typologyWho carries the most responsibility for LTC:

formal system or family/person?:

public spending on LTC private spending on LTC role of formal versus informal care support for informal care givers is there an entitlement? how strict are eligibility criteria?

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Characteristics for typology, 2 How is formal system organised:

quality assurance type of providers centralised or not? coordination and integration of care

What about freedom of choice? role of cash benefits? free choice of providers?

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WP1, two methods of clustering

mostly organisational, 21 countries for example choice of provider, quality

assurance

use and financing of care, 14 countries

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Use and financing typology selection of 8 metric variables for 14

countries

factor analysis on 8 variables, 4 variables used

cluster-analysis

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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

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Result

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Result, by clusterinformal care oriented, low private financing

Belgium*, Czech Republic, Germany, Slovakia* medium spender

low spending, low private, high IC use, high IC support,cash benefits modest

generous, accessible and formalized

Denmark, the Netherlands, Sweden

high spending, low private, low IC use, high IC support,cash benefits modest

informal care oriented, high private financing

Austria, England, Finland, France, Spain

medium spending, high private, high IC use, high IC support,cash benefits high

high private financing, informal care seems necessity

Hungary, Italy

low spending, high private, high IC use, low IC support,cash benefits medium

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Star plot of LTC systems

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Countries to be modelled (considering data availability) Germany

the Netherlands

Spain

Poland (simplified models)

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Conclusion most new member states only to be

analysed with organisational approach, but NMS not in 1 cluster (in both typologies)

3 variables crucial for countries with better data: needs-corrected public spending, private

funding, informal care support

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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

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Conclusion 3

large impact of available information

different clustering with richer dataset clustering especially for LTC is different

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More information:

http://www.ancien-longtermcare.eu/ general information country reports on LTC systems typology report

[email protected] (Institute for Advanced Studies) [email protected] (CPB) [email protected] (FPB)