The mission of the USC Roybal Center for Health Policy Simulation is to develop models to understand the consequences of biomedical developments and social forces for health, health spending, and health care delivery, and to translate these findings for policy makers who influence aging policy in the United States. Our thematic emphasis is on 'Novel methods for analyzing programs affecting older populations.'Over the duration of our Center's existence, we have successfully raised awareness of the link between population health and the fiscal future of the U.S., and the role that biomedical innovation can play in affecting fiscal policy. For the current renewal, we will continue our translational efforts to elevate aging policy discussions in two areas of emphasis: Theme 1: Policies to Mitigate the Social Consequences of Health Disparities;and Theme 2: International Lessons for U.S. Aging Policy. Our preliminary work suggests that focusing research in these areas has the potential for improving the health and well-being of older people, and that these are areas for which both researchers and policy-makers should devote more attention. With that in mind, the goal of the Management and Administrative Core (MAC) is to provide visionary leadership and effective management to this effort. Specifically, the MAC will 1) Provide strategic direction and administrative support to maintain Center progress;2) Oversee the pilot proposal process and ensure high-quality research in our focus areas of Health Disparities and International Aging Policy;3) Create training opportunities and foster external collaboration to facilitate the use and sustainability of the FEM across multiple populations;and 4) Leverage resources of the Center and USC to promote widespread dissemination.

Public Health Relevance

Chronic illness imposes a substantial burden on the elderly, which will be further exacerbated in younger cohorts. Not only will the number of elderly 65 years of age or older double in the next 25 years, the constellation of disease and disability could be much greater. Existing preventive practices and services could alleviate some of this burden by eliminating or forestalling expensive diseases, but improvements in health allow the eldery to live longer and accrue more expenses and ultimately incur more health care costs.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Center Core Grants (P30)
Project #
2P30AG024968-12
Application #
8920700
Study Section
Special Emphasis Panel (ZAG1)
Program Officer
Baker, Colin S
Project Start
Project End
2019-05-31
Budget Start
2014-09-30
Budget End
2015-05-31
Support Year
12
Fiscal Year
2014
Total Cost
Indirect Cost
Name
University of Southern California
Department
Type
DUNS #
City
Los Angeles
State
CA
Country
United States
Zip Code
90089
Goldman, Dana P; Fillit, Howard; Neumann, Peter (2018) Accelerating Alzheimer's disease drug innovations from the research pipeline to patients. Alzheimers Dement 14:833-836
Van Nuys, Karen E; Xie, Zhiwen; Tysinger, Bryan et al. (2018) Innovation in Heart Failure Treatment: Life Expectancy, Disability, and Health Disparities. JACC Heart Fail 6:401-409
García, Jorge Luis; Heckman, James J; Ziff, Anna L (2018) Gender Differences in the Benefits of an Influential Early Childhood Program. Eur Econ Rev 109:9-22
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Chen, Cynthia; Zissimopoulos, Julie M (2018) Racial and ethnic differences in trends in dementia prevalence and risk factors in the United States. Alzheimers Dement (N Y) 4:510-520
Trish, Erin; Xu, Jianhui; Joyce, Geoffrey (2018) Growing Number Of Unsubsidized Part D Beneficiaries With Catastrophic Spending Suggests Need For An Out-Of-Pocket Cap. Health Aff (Millwood) 37:1048-1056
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Cheng, Wei-Han; Gaudette, Étienne; Goldman, Dana P (2017) PCSK9 Inhibitors Show Value for Patients and the US Health Care System. Value Health 20:1270-1278
Zissimopoulos, Julie; Blaylock, Barbara; Goldman, Dana P et al. (2017) Raising the Social Security Entitlement Age. Res Aging 39:166-189
Gonzalez-Gonzalez, Cesar; Tysinger, Bryan; Goldman, Dana P et al. (2017) Projecting diabetes prevalence among Mexicans aged 50 years and older: the Future Elderly Model-Mexico (FEM-Mexico). BMJ Open 7:e017330

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