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Whether high government subsidies reduce the healthcare provision of township healthcare centers in rural China
BACKGROUND: China’s government launched a large-scale healthcare reform from 2009. One of the main targets of this round reform was to improve the primary health care system. Major reforms for primary healthcare institutions include increasing government investment. However, there are insufficient e...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8557613/ https://www.ncbi.nlm.nih.gov/pubmed/34717623 http://dx.doi.org/10.1186/s12913-021-07201-w |
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author | Shen, Chi Zhou, Zhongliang Lai, Sha Dong, Wanyue Zhao, Yaxin Cao, Dan Zhao, Dantong Ren, Yangling Fan, Xiaojing |
author_facet | Shen, Chi Zhou, Zhongliang Lai, Sha Dong, Wanyue Zhao, Yaxin Cao, Dan Zhao, Dantong Ren, Yangling Fan, Xiaojing |
author_sort | Shen, Chi |
collection | PubMed |
description | BACKGROUND: China’s government launched a large-scale healthcare reform from 2009. One of the main targets of this round reform was to improve the primary health care system. Major reforms for primary healthcare institutions include increasing government investment. However, there are insufficient empirical studies based on large sample to catch long-term effect of increased government subsidy and lack of sufficient incentives on township healthcare centers (THCs), therefore, this study aims to provide additional empirical evidence on the concern by conducting an empirical analysis of THCs in Shaanxi province in China. METHODS: We collected nine years (2009 to 2017) data of THCs from the Health Finance Annual Report System (HFARS) that was acquired from the Health Commission of Shaanxi Province. We applied two-way fixed effect model and continue difference-in-difference (DID) model to estimate the effect of percentage of government subsidy on medical provision. RESULTS: A clear jump of the average percentage of government subsidy to total revenue of THCs can be found in Shaanxi province in 2011, and the average percentage has been more than 60% after 2011. Continue DID models indicate every 1% percentage of government subsidy to total revenue increase after 2011 resulted in a decrease of 1.1 to 3.5% in THCs healthcare provision (1.9% in medical revenue, 1.2% in outpatient visit, 3.5% in total occupy beds of inpatient, 1.1% in surgery revenue, 2.1% in sickbed utilization rate). The results show that the THCs with high government subsidy reduce the number of medical services after 2011. CONCLUSIONS: We think that it is no doubt that the government should take more responsibility for the financing of primary healthcare institutions, the problem is when government plays a central role in the financing and delivery of primary health care services, more effective incentives should be developed. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-07201-w. |
format | Online Article Text |
id | pubmed-8557613 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85576132021-11-03 Whether high government subsidies reduce the healthcare provision of township healthcare centers in rural China Shen, Chi Zhou, Zhongliang Lai, Sha Dong, Wanyue Zhao, Yaxin Cao, Dan Zhao, Dantong Ren, Yangling Fan, Xiaojing BMC Health Serv Res Research BACKGROUND: China’s government launched a large-scale healthcare reform from 2009. One of the main targets of this round reform was to improve the primary health care system. Major reforms for primary healthcare institutions include increasing government investment. However, there are insufficient empirical studies based on large sample to catch long-term effect of increased government subsidy and lack of sufficient incentives on township healthcare centers (THCs), therefore, this study aims to provide additional empirical evidence on the concern by conducting an empirical analysis of THCs in Shaanxi province in China. METHODS: We collected nine years (2009 to 2017) data of THCs from the Health Finance Annual Report System (HFARS) that was acquired from the Health Commission of Shaanxi Province. We applied two-way fixed effect model and continue difference-in-difference (DID) model to estimate the effect of percentage of government subsidy on medical provision. RESULTS: A clear jump of the average percentage of government subsidy to total revenue of THCs can be found in Shaanxi province in 2011, and the average percentage has been more than 60% after 2011. Continue DID models indicate every 1% percentage of government subsidy to total revenue increase after 2011 resulted in a decrease of 1.1 to 3.5% in THCs healthcare provision (1.9% in medical revenue, 1.2% in outpatient visit, 3.5% in total occupy beds of inpatient, 1.1% in surgery revenue, 2.1% in sickbed utilization rate). The results show that the THCs with high government subsidy reduce the number of medical services after 2011. CONCLUSIONS: We think that it is no doubt that the government should take more responsibility for the financing of primary healthcare institutions, the problem is when government plays a central role in the financing and delivery of primary health care services, more effective incentives should be developed. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-07201-w. BioMed Central 2021-10-30 /pmc/articles/PMC8557613/ /pubmed/34717623 http://dx.doi.org/10.1186/s12913-021-07201-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Shen, Chi Zhou, Zhongliang Lai, Sha Dong, Wanyue Zhao, Yaxin Cao, Dan Zhao, Dantong Ren, Yangling Fan, Xiaojing Whether high government subsidies reduce the healthcare provision of township healthcare centers in rural China |
title | Whether high government subsidies reduce the healthcare provision of township healthcare centers in rural China |
title_full | Whether high government subsidies reduce the healthcare provision of township healthcare centers in rural China |
title_fullStr | Whether high government subsidies reduce the healthcare provision of township healthcare centers in rural China |
title_full_unstemmed | Whether high government subsidies reduce the healthcare provision of township healthcare centers in rural China |
title_short | Whether high government subsidies reduce the healthcare provision of township healthcare centers in rural China |
title_sort | whether high government subsidies reduce the healthcare provision of township healthcare centers in rural china |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8557613/ https://www.ncbi.nlm.nih.gov/pubmed/34717623 http://dx.doi.org/10.1186/s12913-021-07201-w |
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