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Validation of maternal reports for low birthweight and preterm birth indicators in rural Nepal

BACKGROUND: Tracking progress towards global newborn health targets depends largely on maternal reported data collected through large, nationally representative surveys. We evaluated the validity, across a range of recall period lengths (1 to 24 months post-delivery), of maternal report of birthweig...

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Autores principales: Chang, Karen T, Mullany, Luke C, Khatry, Subarna K, LeClerq, Steven C, Munos, Melinda K, Katz, Joanne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Edinburgh University Global Health Society 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5997365/
https://www.ncbi.nlm.nih.gov/pubmed/29899981
http://dx.doi.org/10.7189/jogh.08.010604
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author Chang, Karen T
Mullany, Luke C
Khatry, Subarna K
LeClerq, Steven C
Munos, Melinda K
Katz, Joanne
author_facet Chang, Karen T
Mullany, Luke C
Khatry, Subarna K
LeClerq, Steven C
Munos, Melinda K
Katz, Joanne
author_sort Chang, Karen T
collection PubMed
description BACKGROUND: Tracking progress towards global newborn health targets depends largely on maternal reported data collected through large, nationally representative surveys. We evaluated the validity, across a range of recall period lengths (1 to 24 months post-delivery), of maternal report of birthweight, birth size and length of pregnancy. METHODS: We compared maternal reports to reference standards of birthweights measured within 72 hours of delivery and gestational age generated from reported first day of the last menstrual period (LMP) prospectively collected as part of a population-based study (n = 1502). We calculated sensitivity, specificity, area the under the receiver operating curve (AUC) as a measure of individual-level accuracy, and the inflation factor (IF) to quantify population-level bias for each indicator. We assessed if length of recall period modified accuracy by stratifying measurements across time bins and using a modified Poisson regression with robust error variance to estimate the relative risk (RR) of correctly classifying newborns as low birthweight (LBW) or preterm, adjusting for child sex, place of delivery, maternal age, maternal education, parity, and ethnicity. RESULTS: The LBW indicator using maternally reported birthweight in grams had low individual-level accuracy (AUC = 0.69) and high population-level bias (inflation factor IF = 0.62). LBW using maternally reported birth size and the preterm birth indicator had lower individual-level accuracy (AUC = 0.58 and 0.56, respectively) and higher population-level bias (IF = 0.28 and 0.35, respectively) up to 24 months following birth. Length of recall time did not affect accuracy of LBW indicators. For the preterm birth indicator, accuracy did not change with length of recall up to 20 months after birth and improved slightly beyond 20 months. CONCLUSIONS: The use of maternal reports may underestimate and bias indicators for LBW and preterm birth. In settings with high prevalence of LBW and preterm births, these indicators generated from maternal reports may be more vulnerable to misclassification. In populations where an important proportion of births occur at home or where weight is not routinely measured, mothers perhaps place less importance on remembering size at birth. Further work is needed to explore whether these conclusions on the validity of maternal reports hold in similar rural and low-income settings.
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spelling pubmed-59973652018-06-13 Validation of maternal reports for low birthweight and preterm birth indicators in rural Nepal Chang, Karen T Mullany, Luke C Khatry, Subarna K LeClerq, Steven C Munos, Melinda K Katz, Joanne J Glob Health Research Theme 2: Improving Coverage Measurement BACKGROUND: Tracking progress towards global newborn health targets depends largely on maternal reported data collected through large, nationally representative surveys. We evaluated the validity, across a range of recall period lengths (1 to 24 months post-delivery), of maternal report of birthweight, birth size and length of pregnancy. METHODS: We compared maternal reports to reference standards of birthweights measured within 72 hours of delivery and gestational age generated from reported first day of the last menstrual period (LMP) prospectively collected as part of a population-based study (n = 1502). We calculated sensitivity, specificity, area the under the receiver operating curve (AUC) as a measure of individual-level accuracy, and the inflation factor (IF) to quantify population-level bias for each indicator. We assessed if length of recall period modified accuracy by stratifying measurements across time bins and using a modified Poisson regression with robust error variance to estimate the relative risk (RR) of correctly classifying newborns as low birthweight (LBW) or preterm, adjusting for child sex, place of delivery, maternal age, maternal education, parity, and ethnicity. RESULTS: The LBW indicator using maternally reported birthweight in grams had low individual-level accuracy (AUC = 0.69) and high population-level bias (inflation factor IF = 0.62). LBW using maternally reported birth size and the preterm birth indicator had lower individual-level accuracy (AUC = 0.58 and 0.56, respectively) and higher population-level bias (IF = 0.28 and 0.35, respectively) up to 24 months following birth. Length of recall time did not affect accuracy of LBW indicators. For the preterm birth indicator, accuracy did not change with length of recall up to 20 months after birth and improved slightly beyond 20 months. CONCLUSIONS: The use of maternal reports may underestimate and bias indicators for LBW and preterm birth. In settings with high prevalence of LBW and preterm births, these indicators generated from maternal reports may be more vulnerable to misclassification. In populations where an important proportion of births occur at home or where weight is not routinely measured, mothers perhaps place less importance on remembering size at birth. Further work is needed to explore whether these conclusions on the validity of maternal reports hold in similar rural and low-income settings. Edinburgh University Global Health Society 2018-06 2018-06-09 /pmc/articles/PMC5997365/ /pubmed/29899981 http://dx.doi.org/10.7189/jogh.08.010604 Text en Copyright © 2018 by the Journal of Global Health. All rights reserved. http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License.
spellingShingle Research Theme 2: Improving Coverage Measurement
Chang, Karen T
Mullany, Luke C
Khatry, Subarna K
LeClerq, Steven C
Munos, Melinda K
Katz, Joanne
Validation of maternal reports for low birthweight and preterm birth indicators in rural Nepal
title Validation of maternal reports for low birthweight and preterm birth indicators in rural Nepal
title_full Validation of maternal reports for low birthweight and preterm birth indicators in rural Nepal
title_fullStr Validation of maternal reports for low birthweight and preterm birth indicators in rural Nepal
title_full_unstemmed Validation of maternal reports for low birthweight and preterm birth indicators in rural Nepal
title_short Validation of maternal reports for low birthweight and preterm birth indicators in rural Nepal
title_sort validation of maternal reports for low birthweight and preterm birth indicators in rural nepal
topic Research Theme 2: Improving Coverage Measurement
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5997365/
https://www.ncbi.nlm.nih.gov/pubmed/29899981
http://dx.doi.org/10.7189/jogh.08.010604
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