ArticleInternational journal of epidemiology2010
Comparing modelled to measured mortality reductions: applying the Lives Saved Tool to evaluation data from the Accelerated Child Survival Programme in West Africa.
Article in International journal of epidemiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.
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Who cites it
25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 39 citations in OpenAlex.
- Ending malnutrition in all its forms requires scaling up proven nutrition interventions and much more: a 129-country analysis.BMC medicine · 2020Pooled it
- Quantifying the indirect effects of key child survival interventions for pneumonia, diarrhoea, and measles.Epidemiology and infection · 2013Pooled it
- Predicting the potential impact of scaling up four pneumonia interventions on under-five pneumonia mortality: A prospective Lives Saved Tool (LiST) analysis for Bangladesh, Chad, and Ethiopia.Journal of global health · 2024Article
- Impact of mass distribution of insecticide-treated nets in Mozambique, 2012 to 2025: Estimates of child lives saved using the Lives Saved Tool.PLOS global public health · 2022Article
- Article
- Lives saved with vaccination for 10 pathogens across 112 countries in a pre-COVID-19 world.eLife · 2021Article
- Are there decision support tools that might strengthen the health system for perinatal care in South African district hospitals? A review of the literature.BMC health services research · 2019Review
- Evidence of Impact: iCCM as a strategy to save lives of children under five.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
- Modelling the impact of stunting on child survival in a rural Ugandan setting.BMC nutrition · 2018Article
- Expanding the population coverage of evidence-based interventions with community health workers to save the lives of mothers and children: an analysis of potential global impact using the Lives Saved Tool (LiST).Journal of global health · 2017Article
- Using the missed opportunity tool as an application of the Lives Saved Tool (LiST) for intervention prioritization.BMC public health · 2017Article
- Evaluation of the effectiveness of care groups in expanding population coverage of Key child survival interventions and reducing under-5 mortality: a comparative analysis using the lives saved tool (LiST).BMC public health · 2015Article
- Neglected value of small population-based surveys: a comparison with demographic and health survey data.Journal of health, population, and nutrition · 2015Article
- Estimation of maternal and child mortality one year after user-fee elimination: an impact evaluation and modelling study in Burkina Faso.Bulletin of the World Health Organization · 2014Article
- Using the lives saved tool (LiST) to model mHealth impact on neonatal survival in resource-limited settings.PloS one · 2014Article
- Lives saved from malaria prevention in Africa--evidence to sustain cost-effective gains.Malaria journal · 2012Article
- Estimates of child deaths prevented from malaria prevention scale-up in Africa 2001-2010.Malaria journal · 2012Article
- Article
- Comparing estimates of child mortality reduction modelled in LiST with pregnancy history survey data for a community-based NGO project in Mozambique.BMC public health · 2011Review
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe Lives Saved Tool (LiST) projects the magnitude of mortality reduction based on baseline coverage, demographic characteristics and coverage targets. As a validation exercise, we compared neonatal, post-neonatal, infant, child and under-5 mortality reductions as projected by LiST to changes in mortality measured through demographic surveys in Ghana and Mali as part of a recently completed, retrospective evaluation of a child survival programme.
methodsUsing coverage and other information collected during the evaluation, we modelled the predicted mortality reduction, using logical assumptions to fill gaps if no data were available. We performed a sensitivity analysis on several indicators for which we used a proxy, using the results to examine model sensitivity and readdress our assumptions.
resultsIn Ghana, the modelled mortality reductions were within the 95% confidence boundaries of the measured reduction. In Mali LiST significantly underestimated the reduction. Several coverage indicators were found to influence the projection, specifically case management of serious neonatal illness in both countries and pneumonia treatment, vitamin A measles treatment and breastfeeding promotion in Mali.
conclusionsWe consider LiST to be a useful tool given the limitations of the available data. Although the model was a good match in Ghana, we identified several limiting factors with the input data in the Mali projection. This exercise highlights the importance of continually improving the availability of sound demographic, epidemiological and intervention coverage data at district and national levels. More comparative studies are needed to fully assess the strengths and weaknesses of LiST.
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