Naoko Kozuki1, Joanne Katz2, Adrienne Clermont1, Neff Walker1. 1. Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD. 2. Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD jkatz1@jhu.edu.
Abstract
Background: The Lives Saved Tool (LiST) is a software model that estimates the health impact of scaling up interventions on maternal and child health. One of the outputs of the model is an estimation of births by fetal size [appropriate-for-gestational-age (AGA) or small-for-gestational-age (SGA)] and by length of gestation (term or preterm), both of which influence birth weight. LiST uses prevalence estimates of births in these categories rather than of birth weight categories, because the causes and health consequences differ between SGA and preterm birth. The World Health Assembly nutrition plan, however, has set the prevalence of low birth weight (LBW) as a key indicator, with a specific goal of a 30% reduction in LBW prevalence by 2025.Objective: The objective of the study is to develop an algorithm that will allow LiST users to estimate changes in prevalence of LBW on the basis of changes in coverage of interventions and the resulting impact on prevalence estimates of SGA and preterm births. Methods: The study used 13 prospective cohort data sets from low- and middle-income countries (LMICs; 4 from sub-Saharan Africa, 5 from Asia, and 4 from Latin America), with reliable measures of gestational age and birth weight. By calculating the proportion of LBW births among SGA and preterm births in each data set and meta-analyzing those estimates, we calculated region-specific pooled rates of LBW among SGA and preterm births. Results: In Africa, 0.4% of term-AGA, 36.7% of term-SGA, 49.3% of preterm-AGA, and 100.0% of preterm-SGA births were LBW. In Asia, 1.0% of term-SGA, 47.0% of term-SGA, 36.7% of preterm-AGA, and 100.0% of preterm-SGA births were LBW. In Latin America, 0.4% of term-AGA, 34.4% of term-SGA, 32.3% of preterm-AGA, and 100.0% of preterm-SGA births were LBW.Conclusions: The simple conversion factor proposed here allows for the estimation of LBW within LiST for most LMICs. This will allow LiST users to approximate the impact of their health programs on LBW prevalence via the impact on SGA and preterm prevalence.
Background: The Lives Saved Tool (LiST) is a software model that estimates the health impact of scaling up interventions on maternal and child health. One of the outputs of the model is an estimation of births by fetal size [appropriate-for-gestational-age (AGA) or small-for-gestational-age (SGA)] and by length of gestation (term or preterm), both of which influence birth weight. LiST uses prevalence estimates of births in these categories rather than of birth weight categories, because the causes and health consequences differ between SGA and preterm birth. The World Health Assembly nutrition plan, however, has set the prevalence of low birth weight (LBW) as a key indicator, with a specific goal of a 30% reduction in LBW prevalence by 2025.Objective: The objective of the study is to develop an algorithm that will allow LiST users to estimate changes in prevalence of LBW on the basis of changes in coverage of interventions and the resulting impact on prevalence estimates of SGA and preterm births. Methods: The study used 13 prospective cohort data sets from low- and middle-income countries (LMICs; 4 from sub-Saharan Africa, 5 from Asia, and 4 from Latin America), with reliable measures of gestational age and birth weight. By calculating the proportion of LBW births among SGA and preterm births in each data set and meta-analyzing those estimates, we calculated region-specific pooled rates of LBW among SGA and preterm births. Results: In Africa, 0.4% of term-AGA, 36.7% of term-SGA, 49.3% of preterm-AGA, and 100.0% of preterm-SGA births were LBW. In Asia, 1.0% of term-SGA, 47.0% of term-SGA, 36.7% of preterm-AGA, and 100.0% of preterm-SGA births were LBW. In Latin America, 0.4% of term-AGA, 34.4% of term-SGA, 32.3% of preterm-AGA, and 100.0% of preterm-SGA births were LBW.Conclusions: The simple conversion factor proposed here allows for the estimation of LBW within LiST for most LMICs. This will allow LiST users to approximate the impact of their health programs on LBW prevalence via the impact on SGA and preterm prevalence.
Authors: Annettee Nakimuli; Jennifer E Starling; Sarah Nakubulwa; Imelda Namagembe; Musa Sekikubo; Eve Nakabembe; James G Scott; Ashley Moffett; Catherine E Aiken Journal: Pregnancy Hypertens Date: 2020-04-07 Impact factor: 2.899
Authors: Aarti Kumar; Shambhavi Mishra; Shambhavi Singh; Sana Ashraf; Peiyi Kan; Amit Kumar Ghosh; Alok Kumar; Raghav Krishna; David K Stevenson; Lu Tian; Peter M Elias; Gary L Darmstadt; Vishwajeet Kumar Journal: PLoS Med Date: 2021-09-28 Impact factor: 11.069