ArticleBMC medicine2014
The Lives Saved Tool (LiST) as a model for diarrhea mortality reduction.
Article in BMC medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Harmful practices in the management of childhood diarrhea in low- and middle-income countries: a systematic review.BMC public health · 2015Pooled it
- Strengthening access to zinc and oral rehydration solution for childhood diarrheal treatment in Africa.Global health research and policy · 2025Article
- Effects of different combinations of antibacterial compound supplements in calf pellets on growth performance, health, blood parameters, and rumen microbiome of dairy calves.Frontiers in veterinary science · 2024Article
- Changing Patterns in Digestive Diseases Mortality in Urban and Rural Areas - China, 1987-2021.China CDC weekly · 2023Article
- Modelling the potential cost-effectiveness of food-based programs to reduce malnutrition.Global food security · 2021Article
- Universal WASH coverage; what it takes for fragile states. Case of Jariban district in Somalia.PloS one · 2021Article
- Factors associated with the decline in under five diarrhea mortality in Tanzania from 1980-2015.Journal of global health · 2019Article
- Drivers of the reduction in childhood diarrhea mortality 1980-2015 and interventions to eliminate preventable diarrhea deaths by 2030.Journal of global health · 2019Article
- Factors associated with the decline in under-five diarrhea mortality in India: a LiST analysis.Journal of global health · 2019Article
- Drivers of the progress achieved by Peru in reducing childhood diarrhoea mortality: a country case study.Journal of global health · 2019Article
- Bangladesh: a success case in combating childhood diarrhoea.Journal of global health · 2019Article
- Projecting stunting and wasting under alternative scenarios in Odisha, India, 2015-2030: a Lives Saved Tool (LiST)-based approach.BMJ open · 2019Article
- Effects of scaling up various community-level interventions on child mortality in Burundi, Kenya, Rwanda, Uganda and Tanzania: a modeling study.Global health research and policy · 2019Article
- LiST modelling with monitoring data to estimate impact on child mortality of an ORS and zinc programme with public sector providers in Bihar, India.BMC public health · 2018Article
- Modelling stillbirth mortality reduction with the Lives Saved Tool.BMC public health · 2017Article
- "It is good to take her early to the doctor" - mothers' understanding of childhood pneumonia symptoms and health care seeking in Kilimanjaro region, Tanzania.BMC international health and human rights · 2017Article
- Modelling the cost of community interventions to reduce child mortality in South Africa using the Lives Saved Tool (LiST).BMJ open · 2017Article
- A long way to go - Estimates of combined water, sanitation and hygiene coverage for 25 sub-Saharan African countries.PloS one · 2017Article
- Findings from a comprehensive diarrhoea prevention and treatment programme in Lusaka, Zambia.BMC public health · 2016Article
- Strategic planning for saving the lives of mothers, newborns and children and preventing stillbirths in KwaZulu-Natal province South Africa: modelling using the Lives Saved Tool (LiST).BMC public health · 2016Article
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2 authors.
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Abstract
backgroundDiarrhea 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.
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