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Understanding financial risk protection in China’s health system: a descriptive analysis using data from multiple national household surveys
BACKGROUND: Providing financial risk protection is one of the fundamental goals of health systems. Catastrophic health expenditure (CHE) and medical impoverishment (MI) are two common indicators in evaluating financial risk protection in health. As China continues its health system reform to provide...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10508013/ https://www.ncbi.nlm.nih.gov/pubmed/37726730 http://dx.doi.org/10.1186/s12889-023-16679-4 |
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author | Li, Yuanyuan Guan, Hongcai Fu, Hongqiao |
author_facet | Li, Yuanyuan Guan, Hongcai Fu, Hongqiao |
author_sort | Li, Yuanyuan |
collection | PubMed |
description | BACKGROUND: Providing financial risk protection is one of the fundamental goals of health systems. Catastrophic health expenditure (CHE) and medical impoverishment (MI) are two common indicators in evaluating financial risk protection in health. As China continues its health system reform to provide accessible and affordable health care, it is important to have a clear understanding of China’s progress in financial risk protection. However, past research showed discrepancies in the incidence of CHE and MI. In this article, using data from four national household surveys, we analyzed levels and characteristics of CHE and MI in China under different definitions. METHODS: We used multiple conventional thresholds for CHE and MI to comprehensively describe the levels of financial risk protection in China. We used data from four national household surveys to measure the incidence of CHE and MI, and their inequalities by urban/rural status and by income quartiles. The Probit regression model was used to explore influencing factors of CHE and MI. RESULTS: We found that the incidences of CHE and MI were largely consistent across four national household surveys, despite different sampling methods and questionnaire designs. At the 40% nonfood expenditure threshold, the incidence of CHE in China was 14.95%-17.73% across four surveys during the period of 2016–2017. Meanwhile, at the 1.9 US dollars poverty line, the incidence of MI was 2.01%-5.63%. Moreover, rural residents, lower-income subgroups, and smaller households were faced with higher financial risks from healthcare expenditures. Although positive progress in financial risk protection has been achieved in recent years, China has disproportionately high incidences of CHE and MI, compared to other countries. CONCLUSION: China has large margins for improvements in risk financial protection, with large inequalities across subgroups. Providing better financial protection for low-income groups in rural areas is the key to improve financial protection in China. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-16679-4. |
format | Online Article Text |
id | pubmed-10508013 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105080132023-09-20 Understanding financial risk protection in China’s health system: a descriptive analysis using data from multiple national household surveys Li, Yuanyuan Guan, Hongcai Fu, Hongqiao BMC Public Health Research BACKGROUND: Providing financial risk protection is one of the fundamental goals of health systems. Catastrophic health expenditure (CHE) and medical impoverishment (MI) are two common indicators in evaluating financial risk protection in health. As China continues its health system reform to provide accessible and affordable health care, it is important to have a clear understanding of China’s progress in financial risk protection. However, past research showed discrepancies in the incidence of CHE and MI. In this article, using data from four national household surveys, we analyzed levels and characteristics of CHE and MI in China under different definitions. METHODS: We used multiple conventional thresholds for CHE and MI to comprehensively describe the levels of financial risk protection in China. We used data from four national household surveys to measure the incidence of CHE and MI, and their inequalities by urban/rural status and by income quartiles. The Probit regression model was used to explore influencing factors of CHE and MI. RESULTS: We found that the incidences of CHE and MI were largely consistent across four national household surveys, despite different sampling methods and questionnaire designs. At the 40% nonfood expenditure threshold, the incidence of CHE in China was 14.95%-17.73% across four surveys during the period of 2016–2017. Meanwhile, at the 1.9 US dollars poverty line, the incidence of MI was 2.01%-5.63%. Moreover, rural residents, lower-income subgroups, and smaller households were faced with higher financial risks from healthcare expenditures. Although positive progress in financial risk protection has been achieved in recent years, China has disproportionately high incidences of CHE and MI, compared to other countries. CONCLUSION: China has large margins for improvements in risk financial protection, with large inequalities across subgroups. Providing better financial protection for low-income groups in rural areas is the key to improve financial protection in China. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-16679-4. BioMed Central 2023-09-19 /pmc/articles/PMC10508013/ /pubmed/37726730 http://dx.doi.org/10.1186/s12889-023-16679-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Li, Yuanyuan Guan, Hongcai Fu, Hongqiao Understanding financial risk protection in China’s health system: a descriptive analysis using data from multiple national household surveys |
title | Understanding financial risk protection in China’s health system: a descriptive analysis using data from multiple national household surveys |
title_full | Understanding financial risk protection in China’s health system: a descriptive analysis using data from multiple national household surveys |
title_fullStr | Understanding financial risk protection in China’s health system: a descriptive analysis using data from multiple national household surveys |
title_full_unstemmed | Understanding financial risk protection in China’s health system: a descriptive analysis using data from multiple national household surveys |
title_short | Understanding financial risk protection in China’s health system: a descriptive analysis using data from multiple national household surveys |
title_sort | understanding financial risk protection in china’s health system: a descriptive analysis using data from multiple national household surveys |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10508013/ https://www.ncbi.nlm.nih.gov/pubmed/37726730 http://dx.doi.org/10.1186/s12889-023-16679-4 |
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