Cargando…

Minimizing the Risk of Catastrophic Health Expenditure in China: A Multi-Dimensional Analysis of Vulnerable Groups

Background: In moving toward universal health coverage in China, it is crucial to identify which populations should be prioritized for which interventions rather than blindly increasing welfare packages or capital investments. We identify the characteristics of vulnerable groups from multiple perspe...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Jiahui, Tan, Xiao, Qi, Xinye, Zhang, Xin, Liu, Huan, Wang, Kexin, Jiang, Shengchao, Xu, Qiao, Meng, Nan, Chen, Peiwen, Li, Ye, Kang, Zheng, Wu, Qunhong, Shan, Linghan, Amporfro, Daniel Adjei, Ilia, Bykov
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8377675/
https://www.ncbi.nlm.nih.gov/pubmed/34422747
http://dx.doi.org/10.3389/fpubh.2021.689809
_version_ 1783740693555970048
author Wang, Jiahui
Tan, Xiao
Qi, Xinye
Zhang, Xin
Liu, Huan
Wang, Kexin
Jiang, Shengchao
Xu, Qiao
Meng, Nan
Chen, Peiwen
Li, Ye
Kang, Zheng
Wu, Qunhong
Shan, Linghan
Amporfro, Daniel Adjei
Ilia, Bykov
author_facet Wang, Jiahui
Tan, Xiao
Qi, Xinye
Zhang, Xin
Liu, Huan
Wang, Kexin
Jiang, Shengchao
Xu, Qiao
Meng, Nan
Chen, Peiwen
Li, Ye
Kang, Zheng
Wu, Qunhong
Shan, Linghan
Amporfro, Daniel Adjei
Ilia, Bykov
author_sort Wang, Jiahui
collection PubMed
description Background: In moving toward universal health coverage in China, it is crucial to identify which populations should be prioritized for which interventions rather than blindly increasing welfare packages or capital investments. We identify the characteristics of vulnerable groups from multiple perspectives through estimating catastrophic health expenditure (CHE) and recommend intervention priorities. Methods: Data were from National Health Service Survey conducted in 2003, 2008, and 2013. According to the recommendation of WHO, this study adopted 40% as the CHE threshold. A binary regression was used to identify the determinants of CHE occurrence; a probit model was used to obtain CHE standardized incidence under the characteristics of single and two dimensions in 2013. Results: The total incidence of CHE in 2013 was 13.9%, which shows a general trend of growth from 2003 to 2013. Families in western and central regions and rural areas were more at risk. Factors related to social demography show that households with a female or an unmarried head of household or with a low socioeconomic status were more likely to experience CHE. Households with older adults aged 60 and above had 1,524 times higher likelihood of experiencing CHE. Among the health insurance schemes, the participants covered by the New Rural Cooperative Medical Scheme had the highest risk compared with the participants of all basic health insurance schemes. Households with several members seeking outpatient, inpatient care or with non-communicable diseases were more likely to experience CHE. Households with members not seeing a doctor or hospitalized despite the need for it were more likely to experience CHE. Characteristics such as a household head with characteristics related to low socioeconomic status, having more than two hospitalized family members, ranked high. Meanwhile, the combination of having illiterate household heads and with being covered by other health insurance plans or by none ranked the first place. Cancer notably caused a relatively high medical expenditure among households with CHE. Conclusion: In China, considering the vulnerability of the population across different dimensions is conducive to the alleviation of high CHE. Furthermore, people with multiple vulnerabilities should be prioritized for intervention. Identifying and targeting them to offer help and support will be an effective approach.
format Online
Article
Text
id pubmed-8377675
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-83776752021-08-21 Minimizing the Risk of Catastrophic Health Expenditure in China: A Multi-Dimensional Analysis of Vulnerable Groups Wang, Jiahui Tan, Xiao Qi, Xinye Zhang, Xin Liu, Huan Wang, Kexin Jiang, Shengchao Xu, Qiao Meng, Nan Chen, Peiwen Li, Ye Kang, Zheng Wu, Qunhong Shan, Linghan Amporfro, Daniel Adjei Ilia, Bykov Front Public Health Public Health Background: In moving toward universal health coverage in China, it is crucial to identify which populations should be prioritized for which interventions rather than blindly increasing welfare packages or capital investments. We identify the characteristics of vulnerable groups from multiple perspectives through estimating catastrophic health expenditure (CHE) and recommend intervention priorities. Methods: Data were from National Health Service Survey conducted in 2003, 2008, and 2013. According to the recommendation of WHO, this study adopted 40% as the CHE threshold. A binary regression was used to identify the determinants of CHE occurrence; a probit model was used to obtain CHE standardized incidence under the characteristics of single and two dimensions in 2013. Results: The total incidence of CHE in 2013 was 13.9%, which shows a general trend of growth from 2003 to 2013. Families in western and central regions and rural areas were more at risk. Factors related to social demography show that households with a female or an unmarried head of household or with a low socioeconomic status were more likely to experience CHE. Households with older adults aged 60 and above had 1,524 times higher likelihood of experiencing CHE. Among the health insurance schemes, the participants covered by the New Rural Cooperative Medical Scheme had the highest risk compared with the participants of all basic health insurance schemes. Households with several members seeking outpatient, inpatient care or with non-communicable diseases were more likely to experience CHE. Households with members not seeing a doctor or hospitalized despite the need for it were more likely to experience CHE. Characteristics such as a household head with characteristics related to low socioeconomic status, having more than two hospitalized family members, ranked high. Meanwhile, the combination of having illiterate household heads and with being covered by other health insurance plans or by none ranked the first place. Cancer notably caused a relatively high medical expenditure among households with CHE. Conclusion: In China, considering the vulnerability of the population across different dimensions is conducive to the alleviation of high CHE. Furthermore, people with multiple vulnerabilities should be prioritized for intervention. Identifying and targeting them to offer help and support will be an effective approach. Frontiers Media S.A. 2021-08-06 /pmc/articles/PMC8377675/ /pubmed/34422747 http://dx.doi.org/10.3389/fpubh.2021.689809 Text en Copyright © 2021 Wang, Tan, Qi, Zhang, Liu, Wang, Jiang, Xu, Meng, Chen, Li, Kang, Wu, Shan, Amporfro and Ilia. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Wang, Jiahui
Tan, Xiao
Qi, Xinye
Zhang, Xin
Liu, Huan
Wang, Kexin
Jiang, Shengchao
Xu, Qiao
Meng, Nan
Chen, Peiwen
Li, Ye
Kang, Zheng
Wu, Qunhong
Shan, Linghan
Amporfro, Daniel Adjei
Ilia, Bykov
Minimizing the Risk of Catastrophic Health Expenditure in China: A Multi-Dimensional Analysis of Vulnerable Groups
title Minimizing the Risk of Catastrophic Health Expenditure in China: A Multi-Dimensional Analysis of Vulnerable Groups
title_full Minimizing the Risk of Catastrophic Health Expenditure in China: A Multi-Dimensional Analysis of Vulnerable Groups
title_fullStr Minimizing the Risk of Catastrophic Health Expenditure in China: A Multi-Dimensional Analysis of Vulnerable Groups
title_full_unstemmed Minimizing the Risk of Catastrophic Health Expenditure in China: A Multi-Dimensional Analysis of Vulnerable Groups
title_short Minimizing the Risk of Catastrophic Health Expenditure in China: A Multi-Dimensional Analysis of Vulnerable Groups
title_sort minimizing the risk of catastrophic health expenditure in china: a multi-dimensional analysis of vulnerable groups
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8377675/
https://www.ncbi.nlm.nih.gov/pubmed/34422747
http://dx.doi.org/10.3389/fpubh.2021.689809
work_keys_str_mv AT wangjiahui minimizingtheriskofcatastrophichealthexpenditureinchinaamultidimensionalanalysisofvulnerablegroups
AT tanxiao minimizingtheriskofcatastrophichealthexpenditureinchinaamultidimensionalanalysisofvulnerablegroups
AT qixinye minimizingtheriskofcatastrophichealthexpenditureinchinaamultidimensionalanalysisofvulnerablegroups
AT zhangxin minimizingtheriskofcatastrophichealthexpenditureinchinaamultidimensionalanalysisofvulnerablegroups
AT liuhuan minimizingtheriskofcatastrophichealthexpenditureinchinaamultidimensionalanalysisofvulnerablegroups
AT wangkexin minimizingtheriskofcatastrophichealthexpenditureinchinaamultidimensionalanalysisofvulnerablegroups
AT jiangshengchao minimizingtheriskofcatastrophichealthexpenditureinchinaamultidimensionalanalysisofvulnerablegroups
AT xuqiao minimizingtheriskofcatastrophichealthexpenditureinchinaamultidimensionalanalysisofvulnerablegroups
AT mengnan minimizingtheriskofcatastrophichealthexpenditureinchinaamultidimensionalanalysisofvulnerablegroups
AT chenpeiwen minimizingtheriskofcatastrophichealthexpenditureinchinaamultidimensionalanalysisofvulnerablegroups
AT liye minimizingtheriskofcatastrophichealthexpenditureinchinaamultidimensionalanalysisofvulnerablegroups
AT kangzheng minimizingtheriskofcatastrophichealthexpenditureinchinaamultidimensionalanalysisofvulnerablegroups
AT wuqunhong minimizingtheriskofcatastrophichealthexpenditureinchinaamultidimensionalanalysisofvulnerablegroups
AT shanlinghan minimizingtheriskofcatastrophichealthexpenditureinchinaamultidimensionalanalysisofvulnerablegroups
AT amporfrodanieladjei minimizingtheriskofcatastrophichealthexpenditureinchinaamultidimensionalanalysisofvulnerablegroups
AT iliabykov minimizingtheriskofcatastrophichealthexpenditureinchinaamultidimensionalanalysisofvulnerablegroups