Improving health care cost projections for the Medicare population : summary of a workshop /

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Bibliographic Details
Imprint:Washington, DC : National Academies Press, ©2010.
Description:1 online resource
Language:English
Series:Online access: National Academy of Sciences National Academies Press.
Online access: NCBI NCBI Bookshelf.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11233879
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Other authors / contributors:Wunderlich, Gooloo S.
National Research Council (U.S.). Committee on National Statistics.
ISBN:9780309159760
0309159768
9780309159777
0309159776
1282948636
9781282948631
9786612948633
6612948639
Digital file characteristics:data file
Notes:Title from PDF title page.
Includes bibliographical references.
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).
English.
Summary: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.
Other form:Print version: Improving health care cost projections for the Medicare population. Washington, D.C. : National Academies Press, ©2010 0309159768