Health status and medical treatment of the future elderly : final report /

The ability to predict future health care costs reasonably accurately is critical to planning for the Centers for Medicare and Medicaid Services (CMS). The models used for such projections to date, however, are limited in terms of their capacity to take into account the complex array of factors like...

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Bibliographic Details
Online Access: Access full-text online via JSTOR
Corporate Author: Rand Corporation
Other authors / contributors: Goldman, Dana P. (Dana Paul), 1966-
Imprint: Santa Monica, CA : RAND, [2004]
Format: Electronic
Language:English
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MARC

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245 0 0 |a Health status and medical treatment of the future elderly :  |b final report /  |c Dana P. Goldman [and others]. 
264 1 |a Santa Monica, CA :  |b RAND,  |c [2004] 
264 4 |c ©2004 
264 4 |c ©2004 
300 |a 1 online resource (xxxv, 228 pages) :  |b illustrations 
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504 |a Includes bibliographical references (pages 214-228). 
505 0 0 |t Prospects for medical advances in the 21st century --  |t The medical expert panels --  |t The future elderly model (FEM) --  |t Health expenditures --  |t Health status --  |t The health status of future Medicare entering cohorts --  |t Scenarios --  |t Usefulness to the Office of the Actuary --  |t Conclusions. 
500 |a "TR-169-CMS, August 2004, prepared for the Centers for Medicare and Medicaid Services." 
520 |a The ability to predict future health care costs reasonably accurately is critical to planning for the Centers for Medicare and Medicaid Services (CMS). The models used for such projections to date, however, are limited in terms of their capacity to take into account the complex array of factors likely to affect future spending. To improve CMS's ability to map the effects on spending of such factors as medical breakthroughs and demographic trends, RAND Health developed the Future Elderly Model (FEM), a demographic-economic model framework of health spending projections that enables the user to answer "what-if" questions about the effects of changes in health status and disease treatment on future health care costs. What distinguishes the FEM from other models is its inclusion of a multidimensional characterization of health status, which allows the user to include a richer set of demographic controls as well as comorbid conditions and functional status. This report describes the development of the FEM and its application in four clinical areas: cardiovascular disease, the biology of aging and cancer, neurological disease, and changes in health care services. Beside those involved in planning at the Centers for Medicare and Medicaid Services, it should be of interest to health policy planners and health economists. 
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650 0 |a Older people  |x Medical care  |x Economic aspects  |z United States. 
650 0 |a Medical care, Cost of  |z United States  |x Forecasting. 
650 0 |a Medical care  |z United States  |x Mathematical models. 
650 0 |a Older people. 
650 0 |a Health planning. 
651 2 |a United States 
700 1 |a Goldman, Dana P.  |q (Dana Paul),  |d 1966-  |1 https://id.oclc.org/worldcat/entity/E39PBJtGVbxjVJQVKbm6fBtdwC 
710 2 |a Rand Corporation. 
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