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

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

dc.contributor.author	World Bank
dc.date.accessioned	2016-08-31T17:16:35Z
dc.date.available	2016-08-31T17:16:35Z
dc.date.issued	2015-11
dc.description.abstract	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.	en
dc.identifier	http://documents.worldbank.org/curated/en/2016/07/26570785/analysis-action-case-study-allocative-efficiency-analysis-supported-mathematical-modelling-changed-hiv-investment-sudan
dc.identifier.doi	10.1596/24989
dc.identifier.uri	https://hdl.handle.net/10986/24989
dc.language	English
dc.language.iso	en_US
dc.publisher	World Bank, Washington, DC
dc.relation.ispartofseries	From Analysis to Action;
dc.rights	CC BY 3.0 IGO
dc.rights.holder	World Bank
dc.rights.uri	http://creativecommons.org/licenses/by/3.0/igo/
dc.subject	HIV
dc.subject	antiretroviral therapy
dc.subject	health financing
dc.subject	resource allocation
dc.subject	mathematical modelling
dc.subject	resource efficiency
dc.title	A Case Study on How Allocative Efficiency Analysis Supported by Mathematical Modelling Changed HIV Investment in Sudan	en
dc.type	Brief	en
dc.type	Fiche	fr
dc.type	Resumen	es
dspace.entity.type	Publication
okr.date.disclosure	2016-07-14
okr.date.doiregistration	2025-04-29T09:37:36.189804Z
okr.doctype	Publications & Research
okr.doctype	Publications & Research::Brief
okr.docurl	http://documents.worldbank.org/curated/en/2016/07/26570785/analysis-action-case-study-allocative-efficiency-analysis-supported-mathematical-modelling-changed-hiv-investment-sudan
okr.guid	584321468500196633
okr.identifier.externaldocumentum	090224b084455b72_1_0
okr.identifier.internaldocumentum	26570785
okr.identifier.report	106817
okr.imported	true
okr.language.supported	en
okr.pdfurl	http://www-wds.worldbank.org/external/default/WDSContentServer/WDSP/IB/2016/07/14/090224b084455b72/1_0/Rendered/PDF/From0analysis000investment0in0Sudan.pdf	en
okr.region.administrative	Africa
okr.region.country	Sudan
okr.topic	Health, Nutrition and Population::HIV AIDS
okr.topic	Health, Nutrition and Population::Health Economics & Finance
okr.topic	Health, Nutrition and Population::Health Policy and Management
okr.topic	Health, Nutrition and Population::Health Project Design and Implementation