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Hardship financing, productivity loss, and the economic cost of illness and injury in Cambodia
BACKGROUND: Financial risk protection is a core dimension of universal health coverage. Hardship financing, defined as borrowing and selling land or assets to pay for healthcare, is a measure of last recourse. Increasing indebtedness and high interest rates, particularly among unregulated money lend...
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/PMC10559627/ https://www.ncbi.nlm.nih.gov/pubmed/37805483 http://dx.doi.org/10.1186/s12939-023-02016-z |
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author | Kolesar, Robert John Erreygers, Guido Van Damme, Wim Chea, Vanara Choeurng, Theany Leng, Soklong |
author_facet | Kolesar, Robert John Erreygers, Guido Van Damme, Wim Chea, Vanara Choeurng, Theany Leng, Soklong |
author_sort | Kolesar, Robert John |
collection | PubMed |
description | BACKGROUND: Financial risk protection is a core dimension of universal health coverage. Hardship financing, defined as borrowing and selling land or assets to pay for healthcare, is a measure of last recourse. Increasing indebtedness and high interest rates, particularly among unregulated money lenders, can lead to a vicious cycle of poverty and exacerbate inequity. METHODS: To inform efforts to improve Cambodia’s social health protection system we analyze 2019–2020 Cambodia Socio-economic Survey data to assess hardship financing, illness and injury related productivity loss, and estimate related economic impacts. We apply two-stage Instrumental Variable multiple regression to address endogeneity relating to net income. In addition, we calculate a direct economic measure to facilitate the regular monitoring and reporting on the devastating burden of excessive out-of-pocket expenditure for policy makers. RESULTS: More than 98,500 households or 2.7% of the total population resorted to hardship financing over the past year. Factors significantly increasing risk are higher out-of-pocket healthcare expenditures, illness or injury related productivity loss, and spending of savings. The economic burden from annual lost productivity from illness or injury amounts to US$ 459.9 million or 1.7% of GDP. The estimated household economic cost related to hardship financing is US$ 250.8 million or 0.9% of GDP. CONCLUSIONS: Such losses can be mitigated with policy measures such as linking a catastrophic health coverage mechanism to the Health Equity Funds, capping interest rates on health-related loans, and using loan guarantees to incentivize microfinance institutions and banks to refinance health-related, high-interest loans from money lenders. These measures could strengthen social health protection by enhancing financial risk protection, mitigating vulnerability to the devastating economic effects of health shocks, and reducing inequities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12939-023-02016-z. |
format | Online Article Text |
id | pubmed-10559627 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105596272023-10-08 Hardship financing, productivity loss, and the economic cost of illness and injury in Cambodia Kolesar, Robert John Erreygers, Guido Van Damme, Wim Chea, Vanara Choeurng, Theany Leng, Soklong Int J Equity Health Research BACKGROUND: Financial risk protection is a core dimension of universal health coverage. Hardship financing, defined as borrowing and selling land or assets to pay for healthcare, is a measure of last recourse. Increasing indebtedness and high interest rates, particularly among unregulated money lenders, can lead to a vicious cycle of poverty and exacerbate inequity. METHODS: To inform efforts to improve Cambodia’s social health protection system we analyze 2019–2020 Cambodia Socio-economic Survey data to assess hardship financing, illness and injury related productivity loss, and estimate related economic impacts. We apply two-stage Instrumental Variable multiple regression to address endogeneity relating to net income. In addition, we calculate a direct economic measure to facilitate the regular monitoring and reporting on the devastating burden of excessive out-of-pocket expenditure for policy makers. RESULTS: More than 98,500 households or 2.7% of the total population resorted to hardship financing over the past year. Factors significantly increasing risk are higher out-of-pocket healthcare expenditures, illness or injury related productivity loss, and spending of savings. The economic burden from annual lost productivity from illness or injury amounts to US$ 459.9 million or 1.7% of GDP. The estimated household economic cost related to hardship financing is US$ 250.8 million or 0.9% of GDP. CONCLUSIONS: Such losses can be mitigated with policy measures such as linking a catastrophic health coverage mechanism to the Health Equity Funds, capping interest rates on health-related loans, and using loan guarantees to incentivize microfinance institutions and banks to refinance health-related, high-interest loans from money lenders. These measures could strengthen social health protection by enhancing financial risk protection, mitigating vulnerability to the devastating economic effects of health shocks, and reducing inequities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12939-023-02016-z. BioMed Central 2023-10-07 /pmc/articles/PMC10559627/ /pubmed/37805483 http://dx.doi.org/10.1186/s12939-023-02016-z 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 Kolesar, Robert John Erreygers, Guido Van Damme, Wim Chea, Vanara Choeurng, Theany Leng, Soklong Hardship financing, productivity loss, and the economic cost of illness and injury in Cambodia |
title | Hardship financing, productivity loss, and the economic cost of illness and injury in Cambodia |
title_full | Hardship financing, productivity loss, and the economic cost of illness and injury in Cambodia |
title_fullStr | Hardship financing, productivity loss, and the economic cost of illness and injury in Cambodia |
title_full_unstemmed | Hardship financing, productivity loss, and the economic cost of illness and injury in Cambodia |
title_short | Hardship financing, productivity loss, and the economic cost of illness and injury in Cambodia |
title_sort | hardship financing, productivity loss, and the economic cost of illness and injury in cambodia |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10559627/ https://www.ncbi.nlm.nih.gov/pubmed/37805483 http://dx.doi.org/10.1186/s12939-023-02016-z |
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