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Universal health coverage and the poor: to what extent are health financing policies making a difference? Evidence from a benefit incidence analysis in Zambia
BACKGROUND: Zambia has invested in several healthcare financing reforms aimed at achieving universal access to health services. Several evaluations have investigated the effects of these reforms on the utilization of health services. However, only one study has assessed the distributional incidence...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9375934/ https://www.ncbi.nlm.nih.gov/pubmed/35964020 http://dx.doi.org/10.1186/s12889-022-13923-1 |
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author | Rudasingwa, Martin De Allegri, Manuela Mphuka, Chrispin Chansa, Collins Yeboah, Edmund Bonnet, Emmanuel Ridde, Valéry Chitah, Bona Mukosha |
author_facet | Rudasingwa, Martin De Allegri, Manuela Mphuka, Chrispin Chansa, Collins Yeboah, Edmund Bonnet, Emmanuel Ridde, Valéry Chitah, Bona Mukosha |
author_sort | Rudasingwa, Martin |
collection | PubMed |
description | BACKGROUND: Zambia has invested in several healthcare financing reforms aimed at achieving universal access to health services. Several evaluations have investigated the effects of these reforms on the utilization of health services. However, only one study has assessed the distributional incidence of health spending across different socioeconomic groups, but without differentiating between public and overall health spending and between curative and maternal health services. Our study aims to fill this gap by undertaking a quasi-longitudinal benefit incidence analysis of public and overall health spending between 2006 and 2014. METHODS: We conducted a Benefit Incidence Analysis (BIA) to measure the socioeconomic inequality of public and overall health spending on curative services and institutional delivery across different health facility typologies at three time points. We combined data from household surveys and National Health Accounts. RESULTS: Results showed that public (concentration index of − 0.003; SE 0.027 in 2006 and − 0.207; SE 0.011 in 2014) and overall (0.050; SE 0.033 in 2006 and − 0.169; SE 0.011 in 2014) health spending on curative services tended to benefit the poorer segments of the population while public (0.241; SE 0.018 in 2007 and 0.120; SE 0.007 in 2014) and overall health spending (0.051; SE 0.022 in 2007 and 0.116; SE 0.007 in 2014) on institutional delivery tended to benefit the least-poor. Higher inequalities were observed at higher care levels for both curative and institutional delivery services. CONCLUSION: Our findings suggest that the implementation of UHC policies in Zambia led to a reduction in socioeconomic inequality in health spending, particularly at health centres and for curative care. Further action is needed to address existing barriers for the poor to benefit from health spending on curative services and at higher levels of care. |
format | Online Article Text |
id | pubmed-9375934 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-93759342022-08-15 Universal health coverage and the poor: to what extent are health financing policies making a difference? Evidence from a benefit incidence analysis in Zambia Rudasingwa, Martin De Allegri, Manuela Mphuka, Chrispin Chansa, Collins Yeboah, Edmund Bonnet, Emmanuel Ridde, Valéry Chitah, Bona Mukosha BMC Public Health Research BACKGROUND: Zambia has invested in several healthcare financing reforms aimed at achieving universal access to health services. Several evaluations have investigated the effects of these reforms on the utilization of health services. However, only one study has assessed the distributional incidence of health spending across different socioeconomic groups, but without differentiating between public and overall health spending and between curative and maternal health services. Our study aims to fill this gap by undertaking a quasi-longitudinal benefit incidence analysis of public and overall health spending between 2006 and 2014. METHODS: We conducted a Benefit Incidence Analysis (BIA) to measure the socioeconomic inequality of public and overall health spending on curative services and institutional delivery across different health facility typologies at three time points. We combined data from household surveys and National Health Accounts. RESULTS: Results showed that public (concentration index of − 0.003; SE 0.027 in 2006 and − 0.207; SE 0.011 in 2014) and overall (0.050; SE 0.033 in 2006 and − 0.169; SE 0.011 in 2014) health spending on curative services tended to benefit the poorer segments of the population while public (0.241; SE 0.018 in 2007 and 0.120; SE 0.007 in 2014) and overall health spending (0.051; SE 0.022 in 2007 and 0.116; SE 0.007 in 2014) on institutional delivery tended to benefit the least-poor. Higher inequalities were observed at higher care levels for both curative and institutional delivery services. CONCLUSION: Our findings suggest that the implementation of UHC policies in Zambia led to a reduction in socioeconomic inequality in health spending, particularly at health centres and for curative care. Further action is needed to address existing barriers for the poor to benefit from health spending on curative services and at higher levels of care. BioMed Central 2022-08-13 /pmc/articles/PMC9375934/ /pubmed/35964020 http://dx.doi.org/10.1186/s12889-022-13923-1 Text en © The Author(s) 2022 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 Rudasingwa, Martin De Allegri, Manuela Mphuka, Chrispin Chansa, Collins Yeboah, Edmund Bonnet, Emmanuel Ridde, Valéry Chitah, Bona Mukosha Universal health coverage and the poor: to what extent are health financing policies making a difference? Evidence from a benefit incidence analysis in Zambia |
title | Universal health coverage and the poor: to what extent are health financing policies making a difference? Evidence from a benefit incidence analysis in Zambia |
title_full | Universal health coverage and the poor: to what extent are health financing policies making a difference? Evidence from a benefit incidence analysis in Zambia |
title_fullStr | Universal health coverage and the poor: to what extent are health financing policies making a difference? Evidence from a benefit incidence analysis in Zambia |
title_full_unstemmed | Universal health coverage and the poor: to what extent are health financing policies making a difference? Evidence from a benefit incidence analysis in Zambia |
title_short | Universal health coverage and the poor: to what extent are health financing policies making a difference? Evidence from a benefit incidence analysis in Zambia |
title_sort | universal health coverage and the poor: to what extent are health financing policies making a difference? evidence from a benefit incidence analysis in zambia |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9375934/ https://www.ncbi.nlm.nih.gov/pubmed/35964020 http://dx.doi.org/10.1186/s12889-022-13923-1 |
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