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.
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.
|Gaudette, Ã‰tienne; Tysinger, Bryan; Cassil, Alwyn et al. (2015) Health and Health Care of Medicare Beneficiaries in 2030. Forum Health Econ Policy 18:75-96|
|Gaudette, Ã‰tienne; Goldman, Dana P; Messali, Andrew et al. (2015) Do Statins Reduce the Health and Health Care Costs of Obesity? Pharmacoeconomics 33:723-34|
|Singer, Adam E; Meeker, Daniella; Teno, Joan M et al. (2015) Symptom trends in the last year of life from 1998 to 2010: a cohort study. Ann Intern Med 162:175-83|
|Zissimopoulos, Julie; Crimmins, Eileen; St Clair, Patricia (2014) The Value of Delaying Alzheimer's Disease Onset. Forum Health Econ Policy 18:25-39|
|Trish, Erin; Joyce, Geoffrey; Goldman, Dana P (2014) Specialty drug spending trends among Medicare and Medicare Advantage enrollees, 2007-11. Health Aff (Millwood) 33:2018-24|
|Lowsky, David J; Olshansky, S Jay; Bhattacharya, Jay et al. (2014) Heterogeneity in healthy aging. J Gerontol A Biol Sci Med Sci 69:640-9|
|Basu, Anirban; Jena, Anupam B; Goldman, Dana P et al. (2014) Heterogeneity in action: the role of passive personalization in comparative effectiveness research. Health Econ 23:359-73|
|Barcellos, Silvia Helena; Wuppermann, Amelie C; Carman, Katherine Grace et al. (2014) Preparedness of Americans for the Affordable Care Act. Proc Natl Acad Sci U S A 111:5497-502|
|Mangalmurti, Sandeep; Seabury, Seth A; Chandra, Amitabh et al. (2014) Medical professional liability risk among US cardiologists. Am Heart J 167:690-6|
|Goldman, Dana P; Orszag, Peter R (2014) The Growing Gap in Life Expectancy: Using the Future Elderly Model to Estimate Implications for Social Security and Medicare. Am Econ Rev 104:230-233|
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