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Health Insurance and Long-Term Care Services for the Disabled Elderly in China: Based on CHARLS Data
PURPOSE: This paper aimed to explore the relationship between the different factors, especially health insurance, and the availability of long-term care (LTC) services, among the disabled elderly. METHODS: Based on the data of China Health and Retirement Longitudinal Study (CHARLS), the logistic reg...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7051854/ https://www.ncbi.nlm.nih.gov/pubmed/32161509 http://dx.doi.org/10.2147/RMHP.S233949 |
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author | Chen, Linhong Zhang, Xiaolu Xu, Xiaocang |
author_facet | Chen, Linhong Zhang, Xiaolu Xu, Xiaocang |
author_sort | Chen, Linhong |
collection | PubMed |
description | PURPOSE: This paper aimed to explore the relationship between the different factors, especially health insurance, and the availability of long-term care (LTC) services, among the disabled elderly. METHODS: Based on the data of China Health and Retirement Longitudinal Study (CHARLS), the logistic regression model was utilized to evaluate the influence of the different factors, especially health insurance, on the availability of long-term care services. RESULTS: Our findings show some interesting results. Firstly, the findings suggest that informal long-term care (LTC) services for elderly persons with disabilities heavily depend on a family member from different health insurance groups. About 80.733% of the disabled elderly depend on a family member as their primary caregivers. Secondly, other influence factors such as income and area of residence were also significantly related to the availability of long-term rental services. Thirdly, Health insurance is a very important factor influencing the availability of Long-term care services both in urban and rural areas (p<0.001) but Income is the most interesting variable. CONCLUSION: Based on our results, the growth and integration of formal long-term care (LTC) services should be facilitated. Firstly, policymakers can encourage formal long-term care (LTC) services from a variety of sources to work together to increase overall supply capability. Secondly, the long-term living security needs of people who do not have health insurance should be regulated through subsidies according to the economic status. |
format | Online Article Text |
id | pubmed-7051854 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-70518542020-03-11 Health Insurance and Long-Term Care Services for the Disabled Elderly in China: Based on CHARLS Data Chen, Linhong Zhang, Xiaolu Xu, Xiaocang Risk Manag Healthc Policy Original Research PURPOSE: This paper aimed to explore the relationship between the different factors, especially health insurance, and the availability of long-term care (LTC) services, among the disabled elderly. METHODS: Based on the data of China Health and Retirement Longitudinal Study (CHARLS), the logistic regression model was utilized to evaluate the influence of the different factors, especially health insurance, on the availability of long-term care services. RESULTS: Our findings show some interesting results. Firstly, the findings suggest that informal long-term care (LTC) services for elderly persons with disabilities heavily depend on a family member from different health insurance groups. About 80.733% of the disabled elderly depend on a family member as their primary caregivers. Secondly, other influence factors such as income and area of residence were also significantly related to the availability of long-term rental services. Thirdly, Health insurance is a very important factor influencing the availability of Long-term care services both in urban and rural areas (p<0.001) but Income is the most interesting variable. CONCLUSION: Based on our results, the growth and integration of formal long-term care (LTC) services should be facilitated. Firstly, policymakers can encourage formal long-term care (LTC) services from a variety of sources to work together to increase overall supply capability. Secondly, the long-term living security needs of people who do not have health insurance should be regulated through subsidies according to the economic status. Dove 2020-02-25 /pmc/articles/PMC7051854/ /pubmed/32161509 http://dx.doi.org/10.2147/RMHP.S233949 Text en © 2020 Chen et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Chen, Linhong Zhang, Xiaolu Xu, Xiaocang Health Insurance and Long-Term Care Services for the Disabled Elderly in China: Based on CHARLS Data |
title | Health Insurance and Long-Term Care Services for the Disabled Elderly in China: Based on CHARLS Data |
title_full | Health Insurance and Long-Term Care Services for the Disabled Elderly in China: Based on CHARLS Data |
title_fullStr | Health Insurance and Long-Term Care Services for the Disabled Elderly in China: Based on CHARLS Data |
title_full_unstemmed | Health Insurance and Long-Term Care Services for the Disabled Elderly in China: Based on CHARLS Data |
title_short | Health Insurance and Long-Term Care Services for the Disabled Elderly in China: Based on CHARLS Data |
title_sort | health insurance and long-term care services for the disabled elderly in china: based on charls data |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7051854/ https://www.ncbi.nlm.nih.gov/pubmed/32161509 http://dx.doi.org/10.2147/RMHP.S233949 |
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