Old-Age Disability in China
Implications for Long-Term Care Policies in the Coming Decades
Old-age disability and long-term care (LTC) have not yet been well studied in China. Using logistic regressions and a prevalence ratio projection model, and considering international practices, this dissertation addresses three research questions:
- What are the key risk factors for old-age disability in China?
- What are the projected numbers of older adults with disabilities in China in future decades through 2050?
- How can China develop a feasible and sustainable LTC delivery and financing system to address projected growth in LTC needs of this population over the next four decades?
- Copyright: RAND Corporation
- Availability: Web-Only
- Pages: 137
- Document Number: RGSD-294
- Year: 2012
- Series: Dissertations
Understanding Old-Age Disability and Long-Term Care (LTC) in China
Risk Factors for Old-Age Disability among Chinese
Projections for the Disabled Elderly Population in China: 2015 - 2050
Developing a Feasible and Sustainable Long-Term Care System in China: Policy Implications
Findings from the Literature on Disability Trends in the U.S. and in China
Total Numbers of Older Adults with Any ADL/IADL and 3+ ADLs Limitations in China: 2008 - 2050
Numbers of Older Adults with Any ADL/IADL Limitation in China by Age, Gender, and Residence: 2008 - 2050 (Status Quo)
Numbers of Older Adults with 3+ ADLs Limitation in China by Age, Gender, and Residence: 2008 - 2050 (Status Quo)
This document was submitted as a dissertation in March 2012 in partial fulfillment of the requirements of the doctoral degree in public policy analysis at the Pardee RAND Graduate School. The faculty committee that supervised and approved the dissertation consisted of Megan Beckett (Chair), Lisa Shugarman, and Paul Heaton.
This report is part of the RAND Corporation dissertation series. PRGS dissertations are produced by graduate fellows of the Pardee RAND Graduate School, the world's leading producer of Ph.D.'s in policy analysis. The dissertations are supervised, reviewed, and approved by a PRGS faculty committee overseeing each dissertation.
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