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Inequalities in financial risk protection in Bangladesh: an assessment of universal health coverage

BACKGROUND: Financial risk protection and equity are major components of universal health coverage (UHC), which is defined as ensuring access to health services for all citizens without any undue financial burden. We investigated progress towards UHC financial risk indicators and assessed variabilit...

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Autores principales: Islam, Md. Rashedul, Rahman, Md. Shafiur, Islam, Zobida, Nurs, Cherri Zhang B., Sultana, Papia, Rahman, Md. Mizanur
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5381038/
https://www.ncbi.nlm.nih.gov/pubmed/28376808
http://dx.doi.org/10.1186/s12939-017-0556-4
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author Islam, Md. Rashedul
Rahman, Md. Shafiur
Islam, Zobida
Nurs, Cherri Zhang B.
Sultana, Papia
Rahman, Md. Mizanur
author_facet Islam, Md. Rashedul
Rahman, Md. Shafiur
Islam, Zobida
Nurs, Cherri Zhang B.
Sultana, Papia
Rahman, Md. Mizanur
author_sort Islam, Md. Rashedul
collection PubMed
description BACKGROUND: Financial risk protection and equity are major components of universal health coverage (UHC), which is defined as ensuring access to health services for all citizens without any undue financial burden. We investigated progress towards UHC financial risk indicators and assessed variability of inequalities in financial risk protection indicators by wealth quintile. We further examined the determinants of different financial hardship indicators related to healthcare costs. METHODS: A cross-sectional, three-stage probability survey was conducted in Bangladesh, which collected information from 1600 households from August to November 2011. Catastrophic health payments, impoverishment, and distress financing (borrowing or selling assets) were treated as financial hardship indicators in UHC. Poisson regression models were used to identify the determinants of catastrophic payment, impoverishment and distress financing separately. Slope, relative and concentration indices of inequalities were used to assess wealth-based inequalities in financial hardship indicators. RESULTS: The study found that around 9% of households incurred catastrophic payments, 7% faced distress financing, and 6% experienced impoverishing health payments in Bangladesh. Slope index of inequality indicated that the incidence of catastrophic health payment and distress financing among the richest households were 12 and 9 percentage points lower than the poorest households respectively. Multivariable Poisson regression models revealed that all UHC financial hardship indicators were significantly higher among household that had members who received inpatient care or were in the poorest quintile. The presence of a member with chronic illness in a household increased the risk of impoverishment by nearly double. CONCLUSION: This study identified a greater inequality in UHC financial hardship indicators. Rich households in Bangladesh were facing disproportionately less financial hardship than the poor ones. Households can be protected from financial hardship associated with healthcare costs by implementing risk pooling mechanism, increasing GDP spending on health, and properly monitoring subsidized programs in public health facilities. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12939-017-0556-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-53810382017-04-10 Inequalities in financial risk protection in Bangladesh: an assessment of universal health coverage Islam, Md. Rashedul Rahman, Md. Shafiur Islam, Zobida Nurs, Cherri Zhang B. Sultana, Papia Rahman, Md. Mizanur Int J Equity Health Research BACKGROUND: Financial risk protection and equity are major components of universal health coverage (UHC), which is defined as ensuring access to health services for all citizens without any undue financial burden. We investigated progress towards UHC financial risk indicators and assessed variability of inequalities in financial risk protection indicators by wealth quintile. We further examined the determinants of different financial hardship indicators related to healthcare costs. METHODS: A cross-sectional, three-stage probability survey was conducted in Bangladesh, which collected information from 1600 households from August to November 2011. Catastrophic health payments, impoverishment, and distress financing (borrowing or selling assets) were treated as financial hardship indicators in UHC. Poisson regression models were used to identify the determinants of catastrophic payment, impoverishment and distress financing separately. Slope, relative and concentration indices of inequalities were used to assess wealth-based inequalities in financial hardship indicators. RESULTS: The study found that around 9% of households incurred catastrophic payments, 7% faced distress financing, and 6% experienced impoverishing health payments in Bangladesh. Slope index of inequality indicated that the incidence of catastrophic health payment and distress financing among the richest households were 12 and 9 percentage points lower than the poorest households respectively. Multivariable Poisson regression models revealed that all UHC financial hardship indicators were significantly higher among household that had members who received inpatient care or were in the poorest quintile. The presence of a member with chronic illness in a household increased the risk of impoverishment by nearly double. CONCLUSION: This study identified a greater inequality in UHC financial hardship indicators. Rich households in Bangladesh were facing disproportionately less financial hardship than the poor ones. Households can be protected from financial hardship associated with healthcare costs by implementing risk pooling mechanism, increasing GDP spending on health, and properly monitoring subsidized programs in public health facilities. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12939-017-0556-4) contains supplementary material, which is available to authorized users. BioMed Central 2017-04-04 /pmc/articles/PMC5381038/ /pubmed/28376808 http://dx.doi.org/10.1186/s12939-017-0556-4 Text en © The Author(s). 2017 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
Islam, Md. Rashedul
Rahman, Md. Shafiur
Islam, Zobida
Nurs, Cherri Zhang B.
Sultana, Papia
Rahman, Md. Mizanur
Inequalities in financial risk protection in Bangladesh: an assessment of universal health coverage
title Inequalities in financial risk protection in Bangladesh: an assessment of universal health coverage
title_full Inequalities in financial risk protection in Bangladesh: an assessment of universal health coverage
title_fullStr Inequalities in financial risk protection in Bangladesh: an assessment of universal health coverage
title_full_unstemmed Inequalities in financial risk protection in Bangladesh: an assessment of universal health coverage
title_short Inequalities in financial risk protection in Bangladesh: an assessment of universal health coverage
title_sort inequalities in financial risk protection in bangladesh: an assessment of universal health coverage
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5381038/
https://www.ncbi.nlm.nih.gov/pubmed/28376808
http://dx.doi.org/10.1186/s12939-017-0556-4
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