New option in the Lives Saved Tool (LiST) allows for the conversion of prevalence of small-for-gestational-age and preterm births to prevalence of low birth weight

the Child Health Epidemiology Reference Group SGA-Preterm Birth Working Group, James Tielsch

Research output: Contribution to journalArticle

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-forgestational- 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.

Original languageEnglish (US)
Pages (from-to)2141S-2146S
JournalJournal of Nutrition
Volume147
Issue number11
DOIs
StatePublished - Nov 1 2017

Fingerprint

Premature Birth
Low Birth Weight Infant
Gestational Age
Parturition
Birth Weight
Latin America
Health
Africa South of the Sahara
Software

Keywords

  • Lives Saved Tool
  • Low birth weight
  • Neonatal health
  • Preterm birth
  • Small-for-gestational age

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Nutrition and Dietetics

Cite this

New option in the Lives Saved Tool (LiST) allows for the conversion of prevalence of small-for-gestational-age and preterm births to prevalence of low birth weight. / the Child Health Epidemiology Reference Group SGA-Preterm Birth Working Group; Tielsch, James.

In: Journal of Nutrition, Vol. 147, No. 11, 01.11.2017, p. 2141S-2146S.

Research output: Contribution to journalArticle

the Child Health Epidemiology Reference Group SGA-Preterm Birth Working Group ; Tielsch, James. / New option in the Lives Saved Tool (LiST) allows for the conversion of prevalence of small-for-gestational-age and preterm births to prevalence of low birth weight. In: Journal of Nutrition. 2017 ; Vol. 147, No. 11. pp. 2141S-2146S.
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title = "New option in the Lives Saved Tool (LiST) allows for the conversion of prevalence of small-for-gestational-age and preterm births to prevalence of low birth weight",
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-forgestational- 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.",
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author = "{the Child Health Epidemiology Reference Group SGA-Preterm Birth Working Group} and Naoko Kozuki and Joanne Katz and Adrienne Clermont and Neff Walker and Linda Adair and Fernando Barros and Laura Caulfield and Christian, {Parul S} and Humphrey, {Jean Hawes} and Lieven Huybregts and John Lusingu and Aroonsri Mongkolchati and Mullany, {Luke C} and David Osrin and Dominique Roberfroid and Christentze Schmiegelow and James Tielsch and James Tielsch and Cesar Victora",
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T1 - New option in the Lives Saved Tool (LiST) allows for the conversion of prevalence of small-for-gestational-age and preterm births to prevalence of low birth weight

AU - the Child Health Epidemiology Reference Group SGA-Preterm Birth Working Group

AU - Kozuki, Naoko

AU - Katz, Joanne

AU - Clermont, Adrienne

AU - Walker, Neff

AU - Adair, Linda

AU - Barros, Fernando

AU - Caulfield, Laura

AU - Christian, Parul S

AU - Humphrey, Jean Hawes

AU - Huybregts, Lieven

AU - Lusingu, John

AU - Mongkolchati, Aroonsri

AU - Mullany, Luke C

AU - Osrin, David

AU - Roberfroid, Dominique

AU - Schmiegelow, Christentze

AU - Tielsch, James

AU - Tielsch, James

AU - Victora, Cesar

PY - 2017/11/1

Y1 - 2017/11/1

N2 - 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-forgestational- 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.

AB - 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-forgestational- 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.

KW - Lives Saved Tool

KW - Low birth weight

KW - Neonatal health

KW - Preterm birth

KW - Small-for-gestational age

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