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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| Format: | eBook |
| Language: | English |
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Santa Monica, CA
RAND
©2004©2004, 2004
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| Collection: | JSTOR Open Access Books - Collection details see MPG.ReNa |
| Summary: | 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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| Item Description: | "TR-169-CMS, August 2004, prepared for the Centers for Medicare and Medicaid Services." |
| Physical Description: | xxxv, 228 pages illustrations |
| ISBN: | 9781598753752 1598753754 9780833036537 083303653X |