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How much does community-based targeting of the ultra-poor in the health sector cost? Novel evidence from Burkina Faso
BACKGROUND: Targeting efforts aimed at increasing access to care for the poorest by reducing to a minimum or completely eliminating payments at point of use are increasingly being adopted across low and middle income countries, within the framework of Universal Health Coverage policies. No evidence,...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6123332/ https://www.ncbi.nlm.nih.gov/pubmed/30182301 http://dx.doi.org/10.1186/s13561-018-0205-7 |
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author | Beaugé, Yvonne Koulidiati, Jean-Louis Ridde, Valéry Robyn, Paul Jacob De Allegri, Manuela |
author_facet | Beaugé, Yvonne Koulidiati, Jean-Louis Ridde, Valéry Robyn, Paul Jacob De Allegri, Manuela |
author_sort | Beaugé, Yvonne |
collection | PubMed |
description | BACKGROUND: Targeting efforts aimed at increasing access to care for the poorest by reducing to a minimum or completely eliminating payments at point of use are increasingly being adopted across low and middle income countries, within the framework of Universal Health Coverage policies. No evidence, however, is available on the real cost of designing and implementing these efforts. Our study aimed to fill this gap in knowledge through the systematic assessment of both the financial and economic costs associated with designing and implementing a pro-poor community-based targeting intervention across eight districts in rural Burkina Faso. METHODS: We conducted a partial retrospective economic evaluation (i.e. estimating costs, but not benefits) associated with the abovementioned targeting intervention. We adopted a health system perspective, including all costs incurred by the government and its development partners as well as costs incurred by the community when working as volunteers on behalf of government structures. To trace both financial and economic costs, we combined Activity-Based Costing with Resource Consumption Accounting. To this purpose, we consulted and extracted information from all relevant design/implementation documents and conducted additional key informant structured interviews to assess the resource consumption that was not valued in the documents. RESULTS: For the entire community-based targeting intervention, we estimated a financial cost of USD 587,510 and an economic cost of USD 1,213,447. The difference was driven primarily by the value of the time contributed by the community. Communities carried the main economic burden. With a total of 102,609 ultra-poor identified, the financial cost and the economic cost per ultra-poor person were respectively USD 5,73 and USD 11,83. CONCLUSION: The study is first of its kind to accurately trace the financial and economic costs of a community-based targeting intervention aiming to identify the ultra-poor. The financial costs amounted to USD 5,73 and the economic costs to USD 11,83 per ultra-poor person identified. The financial costs of almost USD 6 represents 21% of the per capita government expenditure on health. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13561-018-0205-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6123332 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-61233322018-09-20 How much does community-based targeting of the ultra-poor in the health sector cost? Novel evidence from Burkina Faso Beaugé, Yvonne Koulidiati, Jean-Louis Ridde, Valéry Robyn, Paul Jacob De Allegri, Manuela Health Econ Rev Research BACKGROUND: Targeting efforts aimed at increasing access to care for the poorest by reducing to a minimum or completely eliminating payments at point of use are increasingly being adopted across low and middle income countries, within the framework of Universal Health Coverage policies. No evidence, however, is available on the real cost of designing and implementing these efforts. Our study aimed to fill this gap in knowledge through the systematic assessment of both the financial and economic costs associated with designing and implementing a pro-poor community-based targeting intervention across eight districts in rural Burkina Faso. METHODS: We conducted a partial retrospective economic evaluation (i.e. estimating costs, but not benefits) associated with the abovementioned targeting intervention. We adopted a health system perspective, including all costs incurred by the government and its development partners as well as costs incurred by the community when working as volunteers on behalf of government structures. To trace both financial and economic costs, we combined Activity-Based Costing with Resource Consumption Accounting. To this purpose, we consulted and extracted information from all relevant design/implementation documents and conducted additional key informant structured interviews to assess the resource consumption that was not valued in the documents. RESULTS: For the entire community-based targeting intervention, we estimated a financial cost of USD 587,510 and an economic cost of USD 1,213,447. The difference was driven primarily by the value of the time contributed by the community. Communities carried the main economic burden. With a total of 102,609 ultra-poor identified, the financial cost and the economic cost per ultra-poor person were respectively USD 5,73 and USD 11,83. CONCLUSION: The study is first of its kind to accurately trace the financial and economic costs of a community-based targeting intervention aiming to identify the ultra-poor. The financial costs amounted to USD 5,73 and the economic costs to USD 11,83 per ultra-poor person identified. The financial costs of almost USD 6 represents 21% of the per capita government expenditure on health. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13561-018-0205-7) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2018-09-04 /pmc/articles/PMC6123332/ /pubmed/30182301 http://dx.doi.org/10.1186/s13561-018-0205-7 Text en © The Author(s). 2018 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. |
spellingShingle | Research Beaugé, Yvonne Koulidiati, Jean-Louis Ridde, Valéry Robyn, Paul Jacob De Allegri, Manuela How much does community-based targeting of the ultra-poor in the health sector cost? Novel evidence from Burkina Faso |
title | How much does community-based targeting of the ultra-poor in the health sector cost? Novel evidence from Burkina Faso |
title_full | How much does community-based targeting of the ultra-poor in the health sector cost? Novel evidence from Burkina Faso |
title_fullStr | How much does community-based targeting of the ultra-poor in the health sector cost? Novel evidence from Burkina Faso |
title_full_unstemmed | How much does community-based targeting of the ultra-poor in the health sector cost? Novel evidence from Burkina Faso |
title_short | How much does community-based targeting of the ultra-poor in the health sector cost? Novel evidence from Burkina Faso |
title_sort | how much does community-based targeting of the ultra-poor in the health sector cost? novel evidence from burkina faso |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6123332/ https://www.ncbi.nlm.nih.gov/pubmed/30182301 http://dx.doi.org/10.1186/s13561-018-0205-7 |
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