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Can medical insurance coverage reduce disparities of income in elderly patients requiring long-term care? The case of the People’s Republic of China

BACKGROUND: The People’s Republic of China’s population is aging rapidly, partly because of the impact of the one-child policy and improvements in the health care system. Caring for bedridden seniors can be a challenge for many families in the People’s Republic of China. OBJECTIVE: To identify the i...

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Autores principales: Zhang, Zhenyu, Wang, Jianbing, Jin, Mingjuan, Li, Mei, Zhou, Litao, Jing, Fangyuan, Chen, Kun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4020881/
https://www.ncbi.nlm.nih.gov/pubmed/24855346
http://dx.doi.org/10.2147/CIA.S58771
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author Zhang, Zhenyu
Wang, Jianbing
Jin, Mingjuan
Li, Mei
Zhou, Litao
Jing, Fangyuan
Chen, Kun
author_facet Zhang, Zhenyu
Wang, Jianbing
Jin, Mingjuan
Li, Mei
Zhou, Litao
Jing, Fangyuan
Chen, Kun
author_sort Zhang, Zhenyu
collection PubMed
description BACKGROUND: The People’s Republic of China’s population is aging rapidly, partly because of the impact of the one-child policy and improvements in the health care system. Caring for bedridden seniors can be a challenge for many families in the People’s Republic of China. OBJECTIVE: To identify the inequality of income among different age groups and social statuses, and evaluate the medical burden and health insurance compensation in the People’s Republic of China. METHODS: We measured income inequality and insurance compensation levels among bedridden patients in Zhejiang province, People’s Republic of China. Factor analysis and Gini coefficients were used to evaluate degree of income inequality and insurance compensation level. RESULTS: We found distinct regional disparities in Zhejiang province, including the aspects of income, expenses, and time. Gini coefficients of older adults with long-term care needs in urban and rural areas were 0.335 and 0.602, respectively. In all age groups, Gini coefficients increased after adjustment for medical expenditures, and the inequality persisted after insurance reimbursement was taken into consideration. CONCLUSION: A significant income disparity between rural and urban areas was observed. Inequality increased with age, and medical expenditure is a huge burden for older people with long-term care needs. Health insurance does not play an important role in reducing inequalities among patients who need long-term care services.
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spelling pubmed-40208812014-05-22 Can medical insurance coverage reduce disparities of income in elderly patients requiring long-term care? The case of the People’s Republic of China Zhang, Zhenyu Wang, Jianbing Jin, Mingjuan Li, Mei Zhou, Litao Jing, Fangyuan Chen, Kun Clin Interv Aging Original Research BACKGROUND: The People’s Republic of China’s population is aging rapidly, partly because of the impact of the one-child policy and improvements in the health care system. Caring for bedridden seniors can be a challenge for many families in the People’s Republic of China. OBJECTIVE: To identify the inequality of income among different age groups and social statuses, and evaluate the medical burden and health insurance compensation in the People’s Republic of China. METHODS: We measured income inequality and insurance compensation levels among bedridden patients in Zhejiang province, People’s Republic of China. Factor analysis and Gini coefficients were used to evaluate degree of income inequality and insurance compensation level. RESULTS: We found distinct regional disparities in Zhejiang province, including the aspects of income, expenses, and time. Gini coefficients of older adults with long-term care needs in urban and rural areas were 0.335 and 0.602, respectively. In all age groups, Gini coefficients increased after adjustment for medical expenditures, and the inequality persisted after insurance reimbursement was taken into consideration. CONCLUSION: A significant income disparity between rural and urban areas was observed. Inequality increased with age, and medical expenditure is a huge burden for older people with long-term care needs. Health insurance does not play an important role in reducing inequalities among patients who need long-term care services. Dove Medical Press 2014-05-08 /pmc/articles/PMC4020881/ /pubmed/24855346 http://dx.doi.org/10.2147/CIA.S58771 Text en © 2014 Zhang et al. This work is published by Dove Medical Press Limited, and licensed under Creative Commons Attribution – Non Commercial (unported, v3.0) License The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Zhang, Zhenyu
Wang, Jianbing
Jin, Mingjuan
Li, Mei
Zhou, Litao
Jing, Fangyuan
Chen, Kun
Can medical insurance coverage reduce disparities of income in elderly patients requiring long-term care? The case of the People’s Republic of China
title Can medical insurance coverage reduce disparities of income in elderly patients requiring long-term care? The case of the People’s Republic of China
title_full Can medical insurance coverage reduce disparities of income in elderly patients requiring long-term care? The case of the People’s Republic of China
title_fullStr Can medical insurance coverage reduce disparities of income in elderly patients requiring long-term care? The case of the People’s Republic of China
title_full_unstemmed Can medical insurance coverage reduce disparities of income in elderly patients requiring long-term care? The case of the People’s Republic of China
title_short Can medical insurance coverage reduce disparities of income in elderly patients requiring long-term care? The case of the People’s Republic of China
title_sort can medical insurance coverage reduce disparities of income in elderly patients requiring long-term care? the case of the people’s republic of china
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4020881/
https://www.ncbi.nlm.nih.gov/pubmed/24855346
http://dx.doi.org/10.2147/CIA.S58771
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