LONG-TERM CARE NEEDS BY CHINESE ELDERLY AND POLICY PRIORITIES IN CHINA

Abstract With the life expectancy in China continuing to increase, age-dependent chronic diseases are also likely to increase, as is the number of people with long-term care needs. This study evaluated the Long Term Care (LTC) needs of the Chinese older population and introduced related policy priorities. Using the 2014 and 2016 “China Longitudinal Aging Social Survey”, this study assessed the physical functions of older adults by measuring their ability to perform Activities of Daily Living independently, compared changes within the two years, and explored other related indicators including, Instrumental Activities of Daily Living, major chronic disease, and mental health conditions. The study also discussed the development of long-term care policies in China and highlighted the priorities of these policies.

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Unmet Long-Term Care Needs: An Analysis of Medicare-Medicaid Dual Eligibles

INQUIRY The Journal of Health Care Organization Provision and Financing ◽

10.5034/inquiryjrnl_42.2.171 ◽

2005 ◽

Vol 42 (2) ◽

pp. 171-182 ◽

Cited By ~ 55

Author(s):

Harriet L. Komisar ◽

Judith Feder ◽

Judith D. Kasper

Keyword(s):

Activities Of Daily Living ◽

Daily Living ◽

Long Term Care ◽

Unmet Needs ◽

State Governments ◽

Care Needs ◽

Community Based ◽

Term Care ◽

Dual Eligibles

People who are dually eligible for Medicare and Medicaid are the focus of fiscal struggles between federal and state governments. Drawing on a survey of community-based elderly “dual eligibles,” this paper examines how well their medical and long-term care needs are being met under the current combination of Medicare and Medicaid policies. While few people report difficulty getting medical care, 58% of people needing long-term care (help with activities of daily living) report unmet needs. As a result, many experience serious consequences, such as falls. Although unmet needs are substantial in all six states surveyed, we find the greater the use of paid home care in a state, the lower the likelihood of unmet needs, suggesting states' policies can make a difference.

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Population with Long-Term Care Needs in Six Latin American Countries: Estimation of Older Adults Who Need Help Performing ADLs

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18157935 ◽

2021 ◽

Vol 18 (15) ◽

pp. 7935

Author(s):

Mauricio Matus-Lopez ◽

Alexander Chaverri-Carvajal

Keyword(s):

Older Adults ◽

Activities Of Daily Living ◽

Latin American ◽

Daily Living ◽

Long Term Care ◽

Care Needs ◽

Term Care ◽

Care Services ◽

Latin American Countries

The population in Latin America is ageing, and there is an inevitable demand for long-term care services. However, there are no comparative analyses between Latin American countries of the dependency situation of older adults. This study aims to calculate and compare percentages of older adults who need help performing the activities of daily living in six Latin American nations. The study is observational, transversal, and cross-national and uses microdata drawn from national surveys conducted in Argentina (n = 3291), Brazil (n = 3903), Chile (n = 31,667), Colombia (n = 17,134), Mexico (n = 7909), and Uruguay (n = 4042). Comparable indicators of the need for help in performing the basic and instrumental activities of daily living were calculated. The percentages of older adults in need of help for basic activities of daily living ranged from 5.8% in Argentina to 11% in Brazil; for instrumental activities of daily living, from 13.8% in Mexico to 35.7% in Brazil; and combined, from 18.1% in Argentina to 37.1% in Brazil. Brazil thus has the highest indicators, followed by Colombia. The results warn of the frail physical condition of older people and the high potential demand for long-term care services. The information provided could be useful for further research on and planning for long-term care needs in Latin American and middle-income countries.

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Causes of changes in basic activities of daily living in older adults with long‐term care needs

Australasian Journal on Ageing ◽

10.1111/ajag.12848 ◽

2020 ◽

Author(s):

Akira Sagari ◽

Takayuki Tabira ◽

Michio Maruta ◽

Hironori Miyata ◽

Gwanghee Han ◽

...

Keyword(s):

Older Adults ◽

Activities Of Daily Living ◽

Daily Living ◽

Long Term Care ◽

Care Needs ◽

Term Care

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The effect of physical rehabilitation on activities of daily living in older residents of long-term care facilities: systematic review with meta-analysis

Age and Ageing ◽

10.1093/ageing/aft133 ◽

2013 ◽

Vol 42 (6) ◽

pp. 682-688 ◽

Cited By ~ 34

Author(s):

Tom Crocker ◽

John Young ◽

Anne Forster ◽

Lesley Brown ◽

Seline Ozer ◽

...

Keyword(s):

Systematic Review ◽

Activities Of Daily Living ◽

Daily Living ◽

Long Term Care ◽

Meta Analysis ◽

Physical Rehabilitation ◽

Term Care ◽

Care Facilities

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Review on Pricing Models for Long-term Care Insurance

Malaysian Journal of Science Health & Technology ◽

10.33102/mjosht.v5i1.130 ◽

2021 ◽

Vol 5 (1) ◽

Author(s):

Muhammad Syakir Asrulsani ◽

Mazlynda Md Yusuf

Keyword(s):

Activities Of Daily Living ◽

Daily Living ◽

Long Term Care ◽

Financial Burden ◽

Term Care ◽

Protection Mechanism ◽

Long Term Care Insurance ◽

Risk Protection ◽

Care Costs

Funding for long-term care costs among elderly people is a critical matter, especially due to high costs and an unexpected length of time. Placement for long-term care that is funded under Jabatan Kebajikan Masyarakat (JKM) is very limited, hence, the next option is through private nursing homes. However, the cost could be up to RM 2,000 a month for each person. Therefore, Long- Term Care Insurance is an alternative to fund for Long-Term Care costs as it is expected to reduce financial burden during old age. It is a risk protection mechanism for an insured that needs health and financial protection when an individual is unable to do activities of daily living (ADL) or supports in instrumental activities of daily living (IADL). This paper reviews three models that have been used in pricing long-term care insurance. All three models use the equivalent principle of premium to price the insurance policy. However, the probability and assumptions used for each model differ, depending on the insured's needs and profile.

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