A Case Study on How Allocative Efficiency Analysis Supported by Mathematical Modelling Changed HIV Investment in Sudan

This brief presents a real-life example of how a group of government decision-makers, programme managers, researchers and development partners worked together to improve the allocation of HIV resources in Sudan and thereby better address the HIV ob...

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Main Author:	World Bank
Format:	Brief
Language:	English en_US
Published:	World Bank, Washington, DC 2016
Subjects:	HIV antiretroviral therapy health financing resource allocation mathematical modelling resource efficiency
Online Access:	http://documents.worldbank.org/curated/en/2016/07/26570785/analysis-action-case-study-allocative-efficiency-analysis-supported-mathematical-modelling-changed-hiv-investment-sudan http://hdl.handle.net/10986/24989

id	okr-10986-24989
recordtype	oai_dc
spelling	okr-10986-249892021-04-23T14:04:28Z A Case Study on How Allocative Efficiency Analysis Supported by Mathematical Modelling Changed HIV Investment in Sudan World Bank HIV antiretroviral therapy health financing resource allocation mathematical modelling resource efficiency This brief presents a real-life example of how a group of government decision-makers, programme managers, researchers and development partners worked together to improve the allocation of HIV resources in Sudan and thereby better address the HIV objectives that the country strives to achieve. The initial modelling analysis showed that by reallocating funds towards antiretroviral treatment (ART) and prevention programmes in Sudan, 37 percent of new HIV infections could be averted with the same amount of funding. These allocations combined with additional technical efficiency gains would allow for increasing ART coverage from 6 percent in 2013 to 34 percent in 2017, and more than double programme coverage for key populations. The reallocations in the 2015 to 2017 HIV budget for the national response are projected to avert an additional 3,200 new infections and 1,100 deaths in these three years compared to initially planned allocations.The reallocations were achieved through a rigorous HIV allocative efficiency analysis and evidence-informed policy process, conducted by a multi-disciplinary team of national and international partners working for the common goal to make Sudan’s HIV response more manageable and sustainable. The case study discusses process and outcomes of this effort. It also offers some reflections on the application of mathematical modelling to strengthening decision-making of finite HIV resources, and some lessons learned about how to go ‘beyond modelling’ to application of modelled allocative efficiency improvements to improving actual budget allocations for better health outcomes. 2016-08-31T17:16:35Z 2016-08-31T17:16:35Z 2015-11 Brief http://documents.worldbank.org/curated/en/2016/07/26570785/analysis-action-case-study-allocative-efficiency-analysis-supported-mathematical-modelling-changed-hiv-investment-sudan http://hdl.handle.net/10986/24989 English en_US From Analysis to Action; CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Brief Africa Sudan
repository_type	Digital Repository
institution_category	Foreign Institution
institution	Digital Repositories
building	World Bank Open Knowledge Repository
collection	World Bank
language	English en_US
topic	HIV antiretroviral therapy health financing resource allocation mathematical modelling resource efficiency
spellingShingle	HIV antiretroviral therapy health financing resource allocation mathematical modelling resource efficiency World Bank A Case Study on How Allocative Efficiency Analysis Supported by Mathematical Modelling Changed HIV Investment in Sudan
geographic_facet	Africa Sudan
relation	From Analysis to Action;
description	This brief presents a real-life example of how a group of government decision-makers, programme managers, researchers and development partners worked together to improve the allocation of HIV resources in Sudan and thereby better address the HIV objectives that the country strives to achieve. The initial modelling analysis showed that by reallocating funds towards antiretroviral treatment (ART) and prevention programmes in Sudan, 37 percent of new HIV infections could be averted with the same amount of funding. These allocations combined with additional technical efficiency gains would allow for increasing ART coverage from 6 percent in 2013 to 34 percent in 2017, and more than double programme coverage for key populations. The reallocations in the 2015 to 2017 HIV budget for the national response are projected to avert an additional 3,200 new infections and 1,100 deaths in these three years compared to initially planned allocations.The reallocations were achieved through a rigorous HIV allocative efficiency analysis and evidence-informed policy process, conducted by a multi-disciplinary team of national and international partners working for the common goal to make Sudan’s HIV response more manageable and sustainable. The case study discusses process and outcomes of this effort. It also offers some reflections on the application of mathematical modelling to strengthening decision-making of finite HIV resources, and some lessons learned about how to go ‘beyond modelling’ to application of modelled allocative efficiency improvements to improving actual budget allocations for better health outcomes.
format	Brief
author	World Bank
author_facet	World Bank
author_sort	World Bank
title	A Case Study on How Allocative Efficiency Analysis Supported by Mathematical Modelling Changed HIV Investment in Sudan
title_short	A Case Study on How Allocative Efficiency Analysis Supported by Mathematical Modelling Changed HIV Investment in Sudan
title_full	A Case Study on How Allocative Efficiency Analysis Supported by Mathematical Modelling Changed HIV Investment in Sudan
title_fullStr	A Case Study on How Allocative Efficiency Analysis Supported by Mathematical Modelling Changed HIV Investment in Sudan
title_full_unstemmed	A Case Study on How Allocative Efficiency Analysis Supported by Mathematical Modelling Changed HIV Investment in Sudan
title_sort	case study on how allocative efficiency analysis supported by mathematical modelling changed hiv investment in sudan
publisher	World Bank, Washington, DC
publishDate	2016
url	http://documents.worldbank.org/curated/en/2016/07/26570785/analysis-action-case-study-allocative-efficiency-analysis-supported-mathematical-modelling-changed-hiv-investment-sudan http://hdl.handle.net/10986/24989
_version_	1764458002711052288

A Case Study on How Allocative Efficiency Analysis Supported by Mathematical Modelling Changed HIV Investment in Sudan

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