scholarly journals Evaluation of Long-Term Care Insurance Policy in Chinese Pilot Cities

2019 ◽  
Vol 16 (20) ◽  
pp. 3826 ◽  
Author(s):  
Yanzhe Zhang ◽  
Xiao Yu
Keyword(s):  
Long Term Care ◽  
Effective Response ◽  
Term Care ◽  
Factors Associated ◽  
Number Of Children ◽  
Degree Of Disability ◽  
Long Term Care Insurance ◽  
And Performance ◽  
The Relationship

Since 2016, 15 pilot cities in China have implemented a long-term care insurance (LTCI) policy. The aim of this research was to explore the outcomes and evaluate the performance of the LTCI policy in the Chinese pilot cities and estimate the willingness of Chinese citizens to expand the formal implementation of LTCI policy in China. We gathered data from 1500 elderly people aged over 60 years in 15 pilot cities (100 surveys for each city) and the effective response rate was 77.8% (1167/1500). We relied on statistical analysis to elicit the outcomes and performance of LTCI implementation and an ordinal logit regression to analyze the factors associated with the extension of the LTCI policy. We examined factors associated with the perception according to sex, age, degree of disability, choices of care, living location, number of children, and monthly income. Among these factors, the relationship between living location and number of children of the family and the outcomes and performance of the LTCI policy in the pilot cities was significant. The rest of the factors showed no significance with the implementation of the LTCI in Chinese pilot cities. This study is among the first to explore the attitudes of Chinese citizens among those who have benefited from the LTCI policy in the pilot cities and contributes to identifying the outcomes of the LTCI in pilot cities to assist policymakers in their further implementation in China.

scholarly journals Review of evolution of the public long-term care insurance (LTCI) system in different countries: influence and challenge

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Linhong Chen ◽  
Lu Zhang ◽  
Xiaocang Xu
Keyword(s):  
Long Term Care ◽  
The Elderly ◽  
Term Care ◽  
The Public ◽  
Disabled Elderly ◽  
The Disabled ◽  
Long Term Care Insurance ◽  
The Relationship

Abstract Background The growing demand for LTC (Long-term care) services for disabled elderly has become a daunting task for countries worldwide, especially China, where population aging is particularly severe. According to CSY (China Statistical Yearbook,2019), the elderly aged 65 or above has reached 167 million in 2018, and the number of disabled elderly is as high as 54%. Germany and other countries have alleviated the crisis by promoting the public LTCI (Long-Term Care Insurance) system since the 1990s, while China’s public LTCI system formal pilot only started in 2016. Therefore, the development of the public LTCI system has gradually become a hot topic for scholars in various countries, including China. Methods This review has been systematically sorted the existing related literature to discuss the development of public LTCI (Long-Term Care Insurance)system form four aspects, namely, the comparison of public LTCI systems in different countries, the influence of public LTCI, challenge of public LTCI, and the relationship between public LTCI and private LTCI. We searched some databases including Web of Science Core Collection, Medline, SCOPUS, EBSCO, EMBASE, ProQuest and PubMed from January 2008 to September 2020. The quality of 38 quantitative and 21 qualitative articles was evaluated using the CASP(Critical Appraisal Skills Programme) critical evaluation checklist. Results The review systematically examines the development of public LTCI system from four aspects, namely, the comparison of public LTCI systems in different countries, the influence of public LTCI, the challenge of public LTCI, and the relationship between public LTCI and private LTCI. For example, LTCI has a positive effect on the health and life quality of the disabled elderly. However, the role of LTCI in alleviating the financial burden on families with the disabled elderly may be limited. Conclusion Some policy implications on the future development of China’s LTCI system can be obtained. For example, the government should fully consider the constraints such as price rise, the elderly disability rate, and the substantial economic burden. It also can strengthen the effective combination of public LTCI and private LTCI. It does not only help to expand the space for its theoretical research but also to learn the experiences in the practice of the LTCI system in various countries around the world. It will significantly help the smooth development and further promote the in-depth reform of the LTCI system in China.

scholarly journals Factors Associated with the Non-Use of Beneficiaries of Long-Term Care Insurance Service: The Case of Jeollanam-do Province

2014 ◽  
Vol 24 (4) ◽  
pp. 349-356 ◽  
Author(s):  
Kyung-Nam Kuk ◽  
Roeul Kim ◽  
Seungji Lim ◽  
Chong-Yon Park ◽  
Jaeyeun Kim ◽  
...  
Keyword(s):  
Long Term Care ◽  
Term Care ◽  
Factors Associated ◽  
Long Term Care Insurance

scholarly journals Exploring the relationship between depression and different multimorbidity patterns among older people covered by long-term care insurance in Shanghai, China

2021 ◽  
Author(s):  
Cancan Li ◽  
Wenjia Peng ◽  
Mengying Li ◽  
Xinghui Li ◽  
Tingting Yang ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Older People ◽  
Long Term Care ◽  
Depression Scale ◽  
Degenerative Disease ◽  
Cross Sectional ◽  
Term Care ◽  
Long Term Care Insurance ◽  
The Relationship

Abstract Background: Depression is common in patients with multimorbidity, but little is known about the relationship between depression and multimorbidity. The purpose of our research was to investigate multimorbidity patterns and their association with depression in a sample of older people covered by long-term care insurance in Shanghai, China.Method: This was a population-based cross-sectional study, and participants included older people covered by long-term care insurance in Shanghai. We collected information on chronic conditions using a self-reported medical history, and we used the 30-item Geriatric Depression Scale to evaluate depressive symptoms. Patterns of multimorbidity were identified with exploratory factor analysis, using oblimin rotation. Logistic regression was used to estimate the relationship between multimorbidity patterns and depressive symptoms.Results: Hypertension, cardiovascular disease, cerebrovascular disease (CVD), and cataract showed strong associations with depression when co-occurring with other conditions. Three patterns of multimorbidity were identified: a musculoskeletal pattern, cardiometabolic pattern, and degenerative disease pattern. Among these, the cardiometabolic (adjusted odds ratio [AOR] 1.223; 95% confidence interval [CI] 1.102, 1.357) and degenerative disease (AOR 1.185; 95% CI 1.071, 1.311) patterns were associated with a higher risk of depressive symptoms.Conclusion: Two of three multimorbidity patterns were found to be associated with depression. Physical and psychological dimensions require greater attention in the care of older adults who are covered by long-term care insurance.

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