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The Lives Saved Tool (LiST) as a model for diarrhea mortality reduction
BACKGROUND: Diarrhea is a leading cause of morbidity and mortality among children under five years of age. The Lives Saved Tool (LiST) is a model used to calculate deaths averted or lives saved by past interventions and for the purposes of program planning when costly and time consuming impact studi...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4234397/ https://www.ncbi.nlm.nih.gov/pubmed/24779400 http://dx.doi.org/10.1186/1741-7015-12-70 |
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author | Fischer Walker, Christa L Walker, Neff |
author_facet | Fischer Walker, Christa L Walker, Neff |
author_sort | Fischer Walker, Christa L |
collection | PubMed |
description | BACKGROUND: Diarrhea is a leading cause of morbidity and mortality among children under five years of age. The Lives Saved Tool (LiST) is a model used to calculate deaths averted or lives saved by past interventions and for the purposes of program planning when costly and time consuming impact studies are not possible. DISCUSSION: LiST models the relationship between coverage of interventions and outputs, such as stunting, diarrhea incidence and diarrhea mortality. Each intervention directly prevents a proportion of diarrhea deaths such that the effect size of the intervention is multiplied by coverage to calculate lives saved. That is, the maximum effect size could be achieved at 100% coverage, but at 50% coverage only 50% of possible deaths are prevented. Diarrhea mortality is one of the most complex causes of death to be modeled. The complexity is driven by the combination of direct prevention and treatment interventions as well as interventions that operate indirectly via the reduction in risk factors, such as stunting and wasting. Published evidence is used to quantify the effect sizes for each direct and indirect relationship. Several studies have compared measured changes in mortality to LiST estimates of mortality change looking at different sets of interventions in different countries. While comparison work has generally found good agreement between the LiST estimates and measured mortality reduction, where data availability is weak, the model is less likely to produce accurate results. LiST can be used as a component of program evaluation, but should be coupled with more complete information on inputs, processes and outputs, not just outcomes and impact. SUMMARY: LiST is an effective tool for modeling diarrhea mortality and can be a useful alternative to large and expensive mortality impact studies. Predicting the impact of interventions or comparing the impact of more than one intervention without having to wait for the results of large and expensive mortality studies is critical to keep programs focused and results oriented for continued reductions in diarrhea and all-cause mortality among children under five years of age. |
format | Online Article Text |
id | pubmed-4234397 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-42343972014-11-18 The Lives Saved Tool (LiST) as a model for diarrhea mortality reduction Fischer Walker, Christa L Walker, Neff BMC Med Opinion BACKGROUND: Diarrhea is a leading cause of morbidity and mortality among children under five years of age. The Lives Saved Tool (LiST) is a model used to calculate deaths averted or lives saved by past interventions and for the purposes of program planning when costly and time consuming impact studies are not possible. DISCUSSION: LiST models the relationship between coverage of interventions and outputs, such as stunting, diarrhea incidence and diarrhea mortality. Each intervention directly prevents a proportion of diarrhea deaths such that the effect size of the intervention is multiplied by coverage to calculate lives saved. That is, the maximum effect size could be achieved at 100% coverage, but at 50% coverage only 50% of possible deaths are prevented. Diarrhea mortality is one of the most complex causes of death to be modeled. The complexity is driven by the combination of direct prevention and treatment interventions as well as interventions that operate indirectly via the reduction in risk factors, such as stunting and wasting. Published evidence is used to quantify the effect sizes for each direct and indirect relationship. Several studies have compared measured changes in mortality to LiST estimates of mortality change looking at different sets of interventions in different countries. While comparison work has generally found good agreement between the LiST estimates and measured mortality reduction, where data availability is weak, the model is less likely to produce accurate results. LiST can be used as a component of program evaluation, but should be coupled with more complete information on inputs, processes and outputs, not just outcomes and impact. SUMMARY: LiST is an effective tool for modeling diarrhea mortality and can be a useful alternative to large and expensive mortality impact studies. Predicting the impact of interventions or comparing the impact of more than one intervention without having to wait for the results of large and expensive mortality studies is critical to keep programs focused and results oriented for continued reductions in diarrhea and all-cause mortality among children under five years of age. BioMed Central 2014-04-29 /pmc/articles/PMC4234397/ /pubmed/24779400 http://dx.doi.org/10.1186/1741-7015-12-70 Text en Copyright © 2014 Fischer Walker and Walker; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 | Opinion Fischer Walker, Christa L Walker, Neff The Lives Saved Tool (LiST) as a model for diarrhea mortality reduction |
title | The Lives Saved Tool (LiST) as a model for diarrhea mortality reduction |
title_full | The Lives Saved Tool (LiST) as a model for diarrhea mortality reduction |
title_fullStr | The Lives Saved Tool (LiST) as a model for diarrhea mortality reduction |
title_full_unstemmed | The Lives Saved Tool (LiST) as a model for diarrhea mortality reduction |
title_short | The Lives Saved Tool (LiST) as a model for diarrhea mortality reduction |
title_sort | lives saved tool (list) as a model for diarrhea mortality reduction |
topic | Opinion |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4234397/ https://www.ncbi.nlm.nih.gov/pubmed/24779400 http://dx.doi.org/10.1186/1741-7015-12-70 |
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