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Lives Saved Tool (LiST) costing: a module to examine costs and prioritize interventions

BACKGROUND: Achieving the Sustainable Development Goals will require careful allocation of resources in order to achieve the highest impact. The Lives Saved Tool (LiST) has been used widely to calculate the impact of maternal, neonatal and child health (MNCH) interventions for program planning and m...

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Autores principales: Bollinger, Lori A., Sanders, Rachel, Winfrey, William, Adesina, Adebiyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5688490/
https://www.ncbi.nlm.nih.gov/pubmed/29143622
http://dx.doi.org/10.1186/s12889-017-4738-1
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author Bollinger, Lori A.
Sanders, Rachel
Winfrey, William
Adesina, Adebiyi
author_facet Bollinger, Lori A.
Sanders, Rachel
Winfrey, William
Adesina, Adebiyi
author_sort Bollinger, Lori A.
collection PubMed
description BACKGROUND: Achieving the Sustainable Development Goals will require careful allocation of resources in order to achieve the highest impact. The Lives Saved Tool (LiST) has been used widely to calculate the impact of maternal, neonatal and child health (MNCH) interventions for program planning and multi-country estimation in several Lancet Series commissions. As use of the LiST model increases, many have expressed a desire to cost interventions within the model, in order to support budgeting and prioritization of interventions by countries. A limited LiST costing module was introduced several years ago, but with gaps in cost types. Updates to inputs have now been added to make the module fully functional for a range of uses. METHODS: This paper builds on previous work that developed an initial version of the LiST costing module to provide costs for MNCH interventions using an ingredients-based costing approach. Here, we update in 2016 the previous econometric estimates from 2013 with newly-available data and also include above-facility level costs such as program management. The updated econometric estimates inform percentages of intervention-level costs for some direct costs and indirect costs. These estimates add to existing values for direct cost requirements for items such as drugs and supplies and required provider time which were already available in LiST Costing. RESULTS: Results generated by the LiST costing module include costs for each intervention, as well as disaggregated costs by intervention including drug and supply costs, labor costs, other recurrent costs, capital costs, and above-service delivery costs. These results can be combined with mortality estimates to support prioritization of interventions by countries. CONCLUSIONS: The LiST costing module provides an option for countries to identify resource requirements for scaling up a maternal, neonatal, and child health program, and to examine the financial impact of different resource allocation strategies. It can be a useful tool for countries as they seek to identify the best investments for scarce resources. The purpose of the LiST model is to provide a tool to make resource allocation decisions in a strategic planning process through prioritizing interventions based on resulting impact on maternal and child mortality and morbidity. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-017-4738-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-56884902017-11-22 Lives Saved Tool (LiST) costing: a module to examine costs and prioritize interventions Bollinger, Lori A. Sanders, Rachel Winfrey, William Adesina, Adebiyi BMC Public Health Research BACKGROUND: Achieving the Sustainable Development Goals will require careful allocation of resources in order to achieve the highest impact. The Lives Saved Tool (LiST) has been used widely to calculate the impact of maternal, neonatal and child health (MNCH) interventions for program planning and multi-country estimation in several Lancet Series commissions. As use of the LiST model increases, many have expressed a desire to cost interventions within the model, in order to support budgeting and prioritization of interventions by countries. A limited LiST costing module was introduced several years ago, but with gaps in cost types. Updates to inputs have now been added to make the module fully functional for a range of uses. METHODS: This paper builds on previous work that developed an initial version of the LiST costing module to provide costs for MNCH interventions using an ingredients-based costing approach. Here, we update in 2016 the previous econometric estimates from 2013 with newly-available data and also include above-facility level costs such as program management. The updated econometric estimates inform percentages of intervention-level costs for some direct costs and indirect costs. These estimates add to existing values for direct cost requirements for items such as drugs and supplies and required provider time which were already available in LiST Costing. RESULTS: Results generated by the LiST costing module include costs for each intervention, as well as disaggregated costs by intervention including drug and supply costs, labor costs, other recurrent costs, capital costs, and above-service delivery costs. These results can be combined with mortality estimates to support prioritization of interventions by countries. CONCLUSIONS: The LiST costing module provides an option for countries to identify resource requirements for scaling up a maternal, neonatal, and child health program, and to examine the financial impact of different resource allocation strategies. It can be a useful tool for countries as they seek to identify the best investments for scarce resources. The purpose of the LiST model is to provide a tool to make resource allocation decisions in a strategic planning process through prioritizing interventions based on resulting impact on maternal and child mortality and morbidity. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-017-4738-1) contains supplementary material, which is available to authorized users. BioMed Central 2017-11-07 /pmc/articles/PMC5688490/ /pubmed/29143622 http://dx.doi.org/10.1186/s12889-017-4738-1 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
Bollinger, Lori A.
Sanders, Rachel
Winfrey, William
Adesina, Adebiyi
Lives Saved Tool (LiST) costing: a module to examine costs and prioritize interventions
title Lives Saved Tool (LiST) costing: a module to examine costs and prioritize interventions
title_full Lives Saved Tool (LiST) costing: a module to examine costs and prioritize interventions
title_fullStr Lives Saved Tool (LiST) costing: a module to examine costs and prioritize interventions
title_full_unstemmed Lives Saved Tool (LiST) costing: a module to examine costs and prioritize interventions
title_short Lives Saved Tool (LiST) costing: a module to examine costs and prioritize interventions
title_sort lives saved tool (list) costing: a module to examine costs and prioritize interventions
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5688490/
https://www.ncbi.nlm.nih.gov/pubmed/29143622
http://dx.doi.org/10.1186/s12889-017-4738-1
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