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Estimating benefit equity of government health subsidy in healthcare Services in Shandong Province, China: a cross-sectional study

BACKGROUND: Government health subsidy (GHS) is an effective tool to improve population health in China. Ensuring an equitable allocation of GHS, particularly among the poorer socio-economic groups, is a major goal of China’s healthcare reform. The paper aims to explore how GHS was allocated across d...

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Autores principales: Qin, Wenzhe, Xu, Lingzhong, Li, Jiajia, Sun, Long, Ding, Gan, Shao, Hui, Xu, Ningze
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5960158/
https://www.ncbi.nlm.nih.gov/pubmed/29776366
http://dx.doi.org/10.1186/s12939-018-0775-3
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author Qin, Wenzhe
Xu, Lingzhong
Li, Jiajia
Sun, Long
Ding, Gan
Shao, Hui
Xu, Ningze
author_facet Qin, Wenzhe
Xu, Lingzhong
Li, Jiajia
Sun, Long
Ding, Gan
Shao, Hui
Xu, Ningze
author_sort Qin, Wenzhe
collection PubMed
description BACKGROUND: Government health subsidy (GHS) is an effective tool to improve population health in China. Ensuring an equitable allocation of GHS, particularly among the poorer socio-economic groups, is a major goal of China’s healthcare reform. The paper aims to explore how GHS was allocated across different socioeconomic groups, and how well the overall health system was performing in terms of the allocation of subsidy for different types of health services. METHODS: Data from China’s National Health Services Survey (NHSS) in 2013 were used. Benefit incidence analysis (BIA) was applied to examine if GHS was equally distributed across income quintile. Benefit incidence was presented as each quintile’s percentage share of total benefits, and the concentration index (CI) and Kakwani index (KI) were calculated. Health benefits from three types of healthcare services (primary health care, outpatient and inpatient services) were analyzed, separated into urban and rural populations. In addition, the distribution of benefits was compared to the distribution of healthcare need (measured by self-reported illness and chronic disease) across income quintiles. RESULTS: In urban populations, the CI value of GHS for primary care was negative. (− 0.14), implying an allocation tendency toward poor region; the CI values of outpatient and inpatient services were both positive (0.174 and 0.194), indicating allocation tendencies toward rich region. Similar allocation pattern was observed in rural population, with pro-poor tendency of primary care service (CI = − 0.082), and pro-rich tendencies of outpatient (CI = 0.153) and inpatient services (CI = 0.203). All the KI values of three health services in urban and rural populations were negative (− 0.4991,-0.1851 and − 0.1651; − 0.482, − 0.247and − 0.197), indicating that government health subsidy was progressive and contributed to the narrowing of economic gap between the poor and rich. CONCLUSIONS: The inequitable distribution of GHS in China exited in different healthcare services; however, the GHS benefit is generally progressive. Future healthcare reforms in China should not only focus on expanding the coverage, but also on improving the equity of distribution of healthcare benefits.
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spelling pubmed-59601582018-05-24 Estimating benefit equity of government health subsidy in healthcare Services in Shandong Province, China: a cross-sectional study Qin, Wenzhe Xu, Lingzhong Li, Jiajia Sun, Long Ding, Gan Shao, Hui Xu, Ningze Int J Equity Health Research BACKGROUND: Government health subsidy (GHS) is an effective tool to improve population health in China. Ensuring an equitable allocation of GHS, particularly among the poorer socio-economic groups, is a major goal of China’s healthcare reform. The paper aims to explore how GHS was allocated across different socioeconomic groups, and how well the overall health system was performing in terms of the allocation of subsidy for different types of health services. METHODS: Data from China’s National Health Services Survey (NHSS) in 2013 were used. Benefit incidence analysis (BIA) was applied to examine if GHS was equally distributed across income quintile. Benefit incidence was presented as each quintile’s percentage share of total benefits, and the concentration index (CI) and Kakwani index (KI) were calculated. Health benefits from three types of healthcare services (primary health care, outpatient and inpatient services) were analyzed, separated into urban and rural populations. In addition, the distribution of benefits was compared to the distribution of healthcare need (measured by self-reported illness and chronic disease) across income quintiles. RESULTS: In urban populations, the CI value of GHS for primary care was negative. (− 0.14), implying an allocation tendency toward poor region; the CI values of outpatient and inpatient services were both positive (0.174 and 0.194), indicating allocation tendencies toward rich region. Similar allocation pattern was observed in rural population, with pro-poor tendency of primary care service (CI = − 0.082), and pro-rich tendencies of outpatient (CI = 0.153) and inpatient services (CI = 0.203). All the KI values of three health services in urban and rural populations were negative (− 0.4991,-0.1851 and − 0.1651; − 0.482, − 0.247and − 0.197), indicating that government health subsidy was progressive and contributed to the narrowing of economic gap between the poor and rich. CONCLUSIONS: The inequitable distribution of GHS in China exited in different healthcare services; however, the GHS benefit is generally progressive. Future healthcare reforms in China should not only focus on expanding the coverage, but also on improving the equity of distribution of healthcare benefits. BioMed Central 2018-05-18 /pmc/articles/PMC5960158/ /pubmed/29776366 http://dx.doi.org/10.1186/s12939-018-0775-3 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Qin, Wenzhe
Xu, Lingzhong
Li, Jiajia
Sun, Long
Ding, Gan
Shao, Hui
Xu, Ningze
Estimating benefit equity of government health subsidy in healthcare Services in Shandong Province, China: a cross-sectional study
title Estimating benefit equity of government health subsidy in healthcare Services in Shandong Province, China: a cross-sectional study
title_full Estimating benefit equity of government health subsidy in healthcare Services in Shandong Province, China: a cross-sectional study
title_fullStr Estimating benefit equity of government health subsidy in healthcare Services in Shandong Province, China: a cross-sectional study
title_full_unstemmed Estimating benefit equity of government health subsidy in healthcare Services in Shandong Province, China: a cross-sectional study
title_short Estimating benefit equity of government health subsidy in healthcare Services in Shandong Province, China: a cross-sectional study
title_sort estimating benefit equity of government health subsidy in healthcare services in shandong province, china: a cross-sectional study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5960158/
https://www.ncbi.nlm.nih.gov/pubmed/29776366
http://dx.doi.org/10.1186/s12939-018-0775-3
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