Health Status and Medical Treatment of the Future Elderly
Final Report
ResearchPublished Dec 12, 2004
Final Report
ResearchPublished Dec 12, 2004
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.
The research described in the report was conducted by RAND Health for the Centers for Medicare and Medicaid Services.
This publication is part of the RAND technical report series. RAND technical reports, products of RAND from 2003 to 2011, presented research findings on a topic limited in scope or intended for a narrow audience; discussions of the methodology employed in research; literature reviews, survey instruments, modeling exercises, guidelines for practitioners and research professionals, and supporting documentation; and preliminary findings. All RAND technical reports were subject to rigorous peer review to ensure high standards for research quality and objectivity.
This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit www.rand.org/pubs/permissions.
RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.