Monday, 21 February 2005
Chairman Peter SCHERER, Head of Health Division, OECD Secretariat
Introduction. Henri Bogaert and Peter Scherer
Session 1. What do we know about health and disability trends amongst elderly populations
- Impact of population ageing on health and long-term care expenditure: Assessing the effect of morbidity, disability and other cost drivers

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Gaetan Lafortune, Health Division, OECD Secretariat
- Interpreting international evidence on the evolution of morbidity and disability prevalence over time and perspectives for extended healthy life expectancy

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Jean-Marie Robine, University of Montpellier and REVES (Network on Health Expectancy), France
- Assessing the impact of changes in survey methodologies on disability trends over time: The case of Australia

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Xingyan Wen, Australian Institute of Health and Welfare
- Compression of disability for Older Americans, 1992-2002

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James Lubitz, National Center for Health Statistics, United States
- Beyond Social Astronomy: From Understanding to Interventions
Richard Suzman, National Institute on Ageing, National Institutes of Health, United States
Session 2. What do we know about the links between morbidity/disability status and health and long-term care use and expenditure
- Medicare Cost Effects of recent U.S. Disability Trends in the Elderly: Future Implications

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Vicki Lamb, Duke University, United States
- Health problems among the elderly in Europe: first results of the SHARE project

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Johan Mackenbach, University Medical Center Rotterdam, the Netherlands
- Disability and Informal Support, Prospects for Canada
Michael Wolfson, Statistics Canada, Canada 
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- The need to improve the comparability of long-term care expenditure data: Recent estimates from a selection of OECD countries and follow-up work

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Manfred Huber, Health Division, OECD Secretariat
Conclusion of day 1: Summary and next steps to improve the validity of data on morbidity/disability among the elderly and links with health and long-term care expenditure
Tuesday 22 February 2005
Chairman Henri BOGAERT
Chairman of the Ageing Working Group and Director of Bureau Fédéral du Plan, Belgique
Session 3. Projecting the impact of demographic and non-demographic factors on future health and long-term care costs: possible frameworks, methodologies and data requirements
- Disentangling demographic and non-demographic drivers of health care spending: a possible methodology and data requirements

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Simen Bjornerud and Joaquim Oliveira Martins, Economics Department, OECD Secretariat
- Health-based predictive models: How to extrapolate existing medical information into the projections of future health care expenditure?

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Alberto Holly, Institute of Health Economics and Management at the University of Lausanne, Switzerland
- Using new data on elderly people to project future trends in health care use and expenditure. Preliminary evidence from the EU research project SHARE

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Axel Börsch-Supan, Mannheim Research Institute for the Economics of Ageing, Germany
- Quantifying factors behind health and long-term care expenditure: evidence from the EU research project AGIR

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Ed Westerhout, The Netherlands Bureau for Economic Policy Analysis
- Report on a research project on Ageing, Health and Retirement (AGIR) and Ageing, Health Status and Determinants of Health Expenditure (AHEAD)

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Jørgen Mortensen, Centre for European Policy Studies, Belgium
Session 4. Possible projection methodologies to be used at EU level
- Projections of expenditure on health care and long-term care at EU level

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Bartosz Przywara and Declan Costello, DG ECFIN, European Commission
- Making projections of public Long-Term Care Expenditure for European countries: a proposed methodology and data requirements

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Adelina Comas Herrera, London School of Economics and Political Science
- Demographic influence on health care and long-term care demand – Different methods?

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Ilija Batljan, Department of Social Work, Stockholm University, Sweden and Mårten Lagergren, Stockholm Center of Gerontology, Sweden
- Conclusion of Day 2: Summary and next steps on possible methodologies and data requirements to improve budgetary implications of health and long-term care
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