Assessing the effects of the percentage of chronic disease in households on health payment-induced poverty in Shaanxi Province, China

Abstract Background Chronic disease has become one of the leading causes of poverty in China, which posed heavy economic burden on individuals, households and society, and accounts for an estimated 80% of deaths and 70% of disability-adjusted life-years lost now in China. This study aims to assess t...

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Main Authors: Xin Lan, Zhongliang Zhou, Yafei Si, Chi Shen, Xiaojing Fan, Gang Chen, Dantong Zhao, Xi Chen
Format: Article
Language:English
Published: BMC 2018-11-01
Series:BMC Health Services Research
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12913-018-3698-1
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author Xin Lan
Zhongliang Zhou
Yafei Si
Chi Shen
Xiaojing Fan
Gang Chen
Dantong Zhao
Xi Chen
author_facet Xin Lan
Zhongliang Zhou
Yafei Si
Chi Shen
Xiaojing Fan
Gang Chen
Dantong Zhao
Xi Chen
author_sort Xin Lan
collection DOAJ
description Abstract Background Chronic disease has become one of the leading causes of poverty in China, which posed heavy economic burden on individuals, households and society, and accounts for an estimated 80% of deaths and 70% of disability-adjusted life-years lost now in China. This study aims to assess the effect of chronic diseases on health payment-induced poverty in Shaanxi Province, China. Methods The data was from the 5th National Health Survey of Shaanxi Province, which was part of China’s National Health Service Survey (NHSS) conducted in 2013. Totally, 20,700 households were selected for analysis. We used poverty headcount, poverty gap and mean positive poverty gap to assess the incidence, depth and intensity of poverty before and after health payment, respectively. Logistic regression models were further undertaken to evaluate the influence of percentage of chronic patients in households on the health payment-induced poverty with the control of other covariates. Results In rural areas, the incidence of poverty increased 31.90% before and after health payment in the household group when the percentage of chronic patients in the households was 0, and the poverty gap rose from 932.77 CNY to 1253.85 CNY (50.56% increased). In the group when the percentage of chronic patients in the households was 1–40% and 41–50%, the poverty gap increased 76.78 and 89.29%, respectively. In the group when the percentage of chronic patients in the households was 51~ 100%, the increase of poverty headcount and poverty gap was 49.89 and 46.24%. In the logistic model, we found that the proportion of chronic patients in the households was closely related with the health payment-induced poverty. The percentage of chronic disease in the households increased by 1 %, the incidence of poverty increased by 1.01 times. On the other hand, the male household head and the household’s head with higher educational lever were seen as protective factors for impoverishment. Conclusions With the percentage of chronic patients in the households growing, the health payment-induced poverty increases sharply. Furthermore, the households members with more chronic diseases in rural areas were more likely to suffer poverty than those in urban areas. Our analysis emphasizes the need to protect households from the impoverishment of chronic diseases, and our findings will provide suggestions for further healthcare reforms in China and guidance for vulnerable groups.
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spelling doaj.art-84cc8dbaa14347f18cae5534c0abaa632022-12-22T03:21:05ZengBMCBMC Health Services Research1472-69632018-11-011811910.1186/s12913-018-3698-1Assessing the effects of the percentage of chronic disease in households on health payment-induced poverty in Shaanxi Province, ChinaXin Lan0Zhongliang Zhou1Yafei Si2Chi Shen3Xiaojing Fan4Gang Chen5Dantong Zhao6Xi Chen7School of Public Health, Xi’an Jiaotong University Health Science CenterSchool of Public Policy and Administration, Xi’an Jiaotong UniversitySchool of Public Policy and Administration, Xi’an Jiaotong UniversitySchool of Public Policy and Administration, Xi’an Jiaotong UniversitySchool of Public Health, Xi’an Jiaotong University Health Science CenterCenter for Health Economics (CHE), Monash UniversitySchool of Public Health, Xi’an Jiaotong University Health Science CenterDepartment of Health Policy and Management and Department of Economics, Yale UniversityAbstract Background Chronic disease has become one of the leading causes of poverty in China, which posed heavy economic burden on individuals, households and society, and accounts for an estimated 80% of deaths and 70% of disability-adjusted life-years lost now in China. This study aims to assess the effect of chronic diseases on health payment-induced poverty in Shaanxi Province, China. Methods The data was from the 5th National Health Survey of Shaanxi Province, which was part of China’s National Health Service Survey (NHSS) conducted in 2013. Totally, 20,700 households were selected for analysis. We used poverty headcount, poverty gap and mean positive poverty gap to assess the incidence, depth and intensity of poverty before and after health payment, respectively. Logistic regression models were further undertaken to evaluate the influence of percentage of chronic patients in households on the health payment-induced poverty with the control of other covariates. Results In rural areas, the incidence of poverty increased 31.90% before and after health payment in the household group when the percentage of chronic patients in the households was 0, and the poverty gap rose from 932.77 CNY to 1253.85 CNY (50.56% increased). In the group when the percentage of chronic patients in the households was 1–40% and 41–50%, the poverty gap increased 76.78 and 89.29%, respectively. In the group when the percentage of chronic patients in the households was 51~ 100%, the increase of poverty headcount and poverty gap was 49.89 and 46.24%. In the logistic model, we found that the proportion of chronic patients in the households was closely related with the health payment-induced poverty. The percentage of chronic disease in the households increased by 1 %, the incidence of poverty increased by 1.01 times. On the other hand, the male household head and the household’s head with higher educational lever were seen as protective factors for impoverishment. Conclusions With the percentage of chronic patients in the households growing, the health payment-induced poverty increases sharply. Furthermore, the households members with more chronic diseases in rural areas were more likely to suffer poverty than those in urban areas. Our analysis emphasizes the need to protect households from the impoverishment of chronic diseases, and our findings will provide suggestions for further healthcare reforms in China and guidance for vulnerable groups.http://link.springer.com/article/10.1186/s12913-018-3698-1ChinaChronic diseasesHealth payment-induced povertyLogistic modelNHSS
spellingShingle Xin Lan
Zhongliang Zhou
Yafei Si
Chi Shen
Xiaojing Fan
Gang Chen
Dantong Zhao
Xi Chen
Assessing the effects of the percentage of chronic disease in households on health payment-induced poverty in Shaanxi Province, China
BMC Health Services Research
China
Chronic diseases
Health payment-induced poverty
Logistic model
NHSS
title Assessing the effects of the percentage of chronic disease in households on health payment-induced poverty in Shaanxi Province, China
title_full Assessing the effects of the percentage of chronic disease in households on health payment-induced poverty in Shaanxi Province, China
title_fullStr Assessing the effects of the percentage of chronic disease in households on health payment-induced poverty in Shaanxi Province, China
title_full_unstemmed Assessing the effects of the percentage of chronic disease in households on health payment-induced poverty in Shaanxi Province, China
title_short Assessing the effects of the percentage of chronic disease in households on health payment-induced poverty in Shaanxi Province, China
title_sort assessing the effects of the percentage of chronic disease in households on health payment induced poverty in shaanxi province china
topic China
Chronic diseases
Health payment-induced poverty
Logistic model
NHSS
url http://link.springer.com/article/10.1186/s12913-018-3698-1
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