Overview of the Lives Saved Tool (LiST)

Walker, Neff; Tam, Yvonne; Friberg, Ingrid K.

doi:10.1186/1471-2458-13-s3-s1

Cited by 251 publications

(269 citation statements)

References 19 publications

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“…Our study conducted in southwest region shows that IYCF knowledge and practices in rural Uganda remain very poor. Similarly, although EPI and ANC are known to be among the most cost-effective interventions [15,16,18], the coverage of these programs in the study population was very low.…”

Section: Discussionmentioning

confidence: 99%

“…The Lives Saved Tool (LiST) [16][17][18][19][20] which is incorporated into the OneHealth software was used to estimate the impact of stunting reduction on child mortality and cases of stunting averted in two scenarios -a) halving the prevalence of stunting by 2040, b) zero stunted children in Buhweju district by 2040. The modelling period was set at 2017-2040 to align with the Uganda vision target of zero stunted growth by 2040 [7].…”

Section: Lives Saved and Number Of Cases Of Stunting Avertedmentioning

confidence: 99%

“…Several studies have used the Lives Saved Tool (LiST) in developing countries to model the impact of evidence-based interventions and stunting on child survival at national level [15][16][17][18][19][20]. However, the impact of stunting on child survival has not been formally modelled at sub-national level particularly in resourcelimited settings where the burden of child mortality is highest.…”

Section: Introductionmentioning

confidence: 99%

“…Our study therefore used LiST to model the impact of stunting reduction on child mortality in the southwest region of Uganda where child mortality and stunted growth are of great public health concern [1,3,12]. We also assessed the coverage of programs (antenatal care, EPI and IYCF practices) that have been shown to have high impact on prevention of stunting and child survival [12,15,16,20,21].…”

Section: Introductionmentioning

confidence: 99%

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Modelling the impact of stunting on child survival in a rural Ugandan setting

2018

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Background: Uganda ranks among the top 10 countries in the world for newborn and child mortality rates and among the top 34 for burden of stunting. This study was conducted to model the impact of stunting on child mortality in the southwest region of Uganda where the prevalence of stunting and child mortality are of great public health concern. Methods: The study was conducted in Buhweju district in the southwest region of Uganda. The study was cross-sectional involving use of a structured household questionnaire, focus group discussions and interviews with key informants in order to gather relevant information on infant and young child feeding (IYCF) and coverage of antenatal care (ANC) and vaccination programs. The survey of stunting, vaccination and ANC services covered 221 children aged 6-59 months while the assessment of IYCF practices covered 83 children aged 0-23. The Lives Saved Tool (LiST) was used to estimate the impact of stunting on child mortality and cases of stunting averted. Results: The study findings indicated that only 33% of the mothers had knowledge of optimal IYCF and 39% of the sampled children were exclusively breastfed. The majority of the mothers (57%) breastfed their children for less than 2 years and only 31% of the mothers practiced appropriate introduction of complementary foods at 6 months. Only 17% of the 0-23-month-olds received a good standard of IYCF. Only 37% of the mothers reportedly attended ANC 4 times or more during pregnancy and among children aged 6-59 months, only 28% were fully vaccinated. The high impact LiST model estimated that 1297 children under 5 years would be saved and 24,850 cases of stunting averted in the study district. Conclusions: The study concludes that IYCF practices and coverage of expanded programme on immunization (EPI) and ANC in the study population are sub-optimal thus the high prevalence of stunting and child mortality in the region. LiST demonstrated that prevention of stunting would reduce child mortality in rural Uganda. Therefore, increased investment in cost-effective child survival interventions targeting rural areas of Uganda would have a significant impact on stunting and child mortality.

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Section: Discussionmentioning

confidence: 99%

Section: Lives Saved and Number Of Cases Of Stunting Avertedmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Modelling the impact of stunting on child survival in a rural Ugandan setting

2018

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“…The proposed framework is also easily adaptable to mortality in other age groups and for other health outcomes, as illustrated in other studies [24]. The framework, however, would require validation and comparison with existing frameworks, such as the Lives Saved Tool (LiST) [25], to confirm its potential routine utility. …”

Section: Usefulness Of the Proposed Approach For Global Policymakersmentioning

confidence: 99%

Global infant mortality trends and attributable determinants – an ecological study using data from 192 countries for the period 1990–2011

Sartorius

2014

Popul Health Metrics

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Background: Infant mortality rate (IMR) is regarded as an important indicator of population health. IMR rates vary substantially with the highest found in sub-Saharan Africa (SSA) compared to the lowest in Europe. Identifying spatial disparities in IMR and quantifying attributable risk factors is essential for policymakers when tailoring time-appropriate interventions at a global, regional, and country level.Methods: Data for 192 countries were extracted from the World Bank Development Indicator database for the period 1990-2011. Spatial clustering was used to identify significant higher-risk IMR countries. A robust ecological generalized linear negative binomial regression model was used to quantify risk factors and associated decomposition values (Shapley). Results: Significant reductions were observed in IMR for all of the World Health Organization regions for the period 1990-2011 except for SSA, which indicated a reversal of this trend in the 1990s due to HIV. Significant high-risk clustering of IMR is also indicated in SSA countries and parts of Asia. Maternal mortality (survival), lack of water and sanitation and female education were confirmed as prominent and high attributable risk factors for IMR. Distinct temporal changes in the attributability of these factors were observed, as well as significant heterogeneity with regards to the most attributable factor by region and country. Conclusions: Our study suggests that maternal mortality is the most prominent attributable risk factor for infant mortality, followed by lack of access to sanitation, lack of access to water, and lower female education. Variation exists across regions and countries with regards to the most attributable factor. Our study also suggests significant underestimation of IMR in regions known for poorer data quality. The results will aid policymakers in re-tailoring time-appropriate interventions to more effectively reduce IMR in line with Millennium Development Goal 4.

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Does It Work? Is It Worth It? Evaluating the Costs and Benefits of Nutritional Interventions

Wieser

Tzogiou

2017

Sustainable Nutrition in a Changing World

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Overview of the Lives Saved Tool (LiST)

Cited by 251 publications

References 19 publications

Modelling the impact of stunting on child survival in a rural Ugandan setting

Modelling the impact of stunting on child survival in a rural Ugandan setting

Global infant mortality trends and attributable determinants – an ecological study using data from 192 countries for the period 1990–2011

Does It Work? Is It Worth It? Evaluating the Costs and Benefits of Nutritional Interventions

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