Improving health care cost projections for the Medicare population : summary of a workshop /
This report is a summary of the January 2010 workshop, Improving Health Care Cost Projections for the Medicare Population. The workshop was convened by the Committee on National Statistics (CNSTAT) of the Division of Behavioral and Social Sciences and Education (DBASSE) of the National Research Coun...
Clasificación: | Libro Electrónico |
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Autor Corporativo: | |
Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Washington, DC :
National Academies Press,
©2010.
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Colección: | Online access: National Academy of Sciences National Academies Press.
Online access: NCBI NCBI Bookshelf. |
Temas: | |
Acceso en línea: | Texto completo |
MARC
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245 | 0 | 0 | |a Improving health care cost projections for the Medicare population : |b summary of a workshop / |c Gooloo S. Wunderlich, rapporteur ; Committee on National Statistics, Division of Behavioral and Social Sciences and Education, National Research Council of the National Academies. |
260 | |a Washington, DC : |b National Academies Press, |c ©2010. | ||
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500 | |a Title from PDF title page. | ||
504 | |a Includes bibliographical references. | ||
520 | 3 | |a This report is a summary of the January 2010 workshop, Improving Health Care Cost Projections for the Medicare Population. The workshop was convened by the Committee on National Statistics (CNSTAT) of the Division of Behavioral and Social Sciences and Education (DBASSE) of the National Research Council (NRC). The workshop was to consider major classes of projection and simulation models that are currently in use and the underlying data sources and research inputs for these models. It was also to consider areas in which additional research and data are needed to inform model development and health care policy analysis more broadly, such as: the relative merits of various cost projection approaches with regard to short-term versus long-term projections, the ability to model what-if scenarios, and other features for the major modeling categories; trends in socioeconomic status and in mortality and morbidity and how they affect health care cost projections; medical technology as a driver of costs and the policy responses to this trend; factors affecting health status, such as obesity, disability, and chronic diseases, that may affect costs over the longer term; addressing uncertainty and bias in model projections. | |
536 | |a This study was supported by Contract No. N01-OD-4-2139, TO # 213 between the National Academy of Sciences and the National Institute on Aging. Support of the work of the Committee on National Statistics is provided by a consortium of federal agencies through a grant from the National Science Foundation (Number SES-0453930). | ||
505 | 0 | |a Introduction -- Current models of health care cost projections -- Modeling medical technology -- Factors affecting health status -- Participants' views on needed research. | |
546 | |a English. | ||
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650 | 0 | |a Medical care, Cost of |z United States |v Statistics |v Congresses. | |
650 | 0 | |a Medicare |x Costs |v Congresses. | |
650 | 0 | |a Medical policy |z United States |v Congresses. | |
650 | 0 | |a Medical care, Cost of. | |
650 | 0 | |a Medical policy. | |
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650 | 6 | |a Soins médicaux |x Coût |z États-Unis |v Statistiques |v Congrès. | |
650 | 6 | |a Medicare |x Coût |v Congrès. | |
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650 | 7 | |a Medical policy |2 fast | |
650 | 7 | |a Medicare |x Costs |2 fast | |
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700 | 1 | |a Wunderlich, Gooloo S. | |
710 | 2 | |a National Research Council (U.S.). |b Committee on National Statistics. | |
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