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Understanding Misclassification between Neonatal Deaths and Stillbirths: Empirical Evidence from Malawi

Improving the counting of stillbirths and neonatal deaths is important to tracking Sustainable Development Goal 3.2 and improving vital statistics in low- and middle-income countries (LMICs). However, the validity of self-reported stillbirths and neonatal deaths in surveys is often threatened by mis...

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Autores principales: Liu, Li, Kalter, Henry D., Chu, Yue, Kazmi, Narjis, Koffi, Alain K., Amouzou, Agbessi, Joos, Olga, Munos, Melinda, Black, Robert E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5193424/
https://www.ncbi.nlm.nih.gov/pubmed/28030594
http://dx.doi.org/10.1371/journal.pone.0168743
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author Liu, Li
Kalter, Henry D.
Chu, Yue
Kazmi, Narjis
Koffi, Alain K.
Amouzou, Agbessi
Joos, Olga
Munos, Melinda
Black, Robert E.
author_facet Liu, Li
Kalter, Henry D.
Chu, Yue
Kazmi, Narjis
Koffi, Alain K.
Amouzou, Agbessi
Joos, Olga
Munos, Melinda
Black, Robert E.
author_sort Liu, Li
collection PubMed
description Improving the counting of stillbirths and neonatal deaths is important to tracking Sustainable Development Goal 3.2 and improving vital statistics in low- and middle-income countries (LMICs). However, the validity of self-reported stillbirths and neonatal deaths in surveys is often threatened by misclassification errors between the two birth outcomes. We assessed the extent and correlates of stillbirths being misclassified as neonatal deaths by comparing two recent and linked population surveys conducted in Malawi, one being a full birth history (FBH) survey, and the other a follow-up verbal/social autopsy (VASA) survey. We found that one-fifth of 365 neonatal deaths identified in the FBH survey were classified as stillbirths in the VASA survey. Neonatal deaths with signs of movements in the last few days before delivery reported were less likely to be misclassified stillbirths (OR = 0.08, p<0.05). Having signs of birth injury was found to be associated with higher odds of misclassification (OR = 6.17, p<0.05). We recommend replicating our study with larger sample size in other settings. Additionally, we recommend conducting validation studies to confirm accuracy and completeness of live births and neonatal deaths reported in household surveys with events reported in a full birth history and the extent of underestimation of neonatal mortality resulting from misclassifications. Questions on fetal movement, signs of life at delivery and improved probing among older mother may be useful to improve accuracy of reported events.
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spelling pubmed-51934242017-01-19 Understanding Misclassification between Neonatal Deaths and Stillbirths: Empirical Evidence from Malawi Liu, Li Kalter, Henry D. Chu, Yue Kazmi, Narjis Koffi, Alain K. Amouzou, Agbessi Joos, Olga Munos, Melinda Black, Robert E. PLoS One Research Article Improving the counting of stillbirths and neonatal deaths is important to tracking Sustainable Development Goal 3.2 and improving vital statistics in low- and middle-income countries (LMICs). However, the validity of self-reported stillbirths and neonatal deaths in surveys is often threatened by misclassification errors between the two birth outcomes. We assessed the extent and correlates of stillbirths being misclassified as neonatal deaths by comparing two recent and linked population surveys conducted in Malawi, one being a full birth history (FBH) survey, and the other a follow-up verbal/social autopsy (VASA) survey. We found that one-fifth of 365 neonatal deaths identified in the FBH survey were classified as stillbirths in the VASA survey. Neonatal deaths with signs of movements in the last few days before delivery reported were less likely to be misclassified stillbirths (OR = 0.08, p<0.05). Having signs of birth injury was found to be associated with higher odds of misclassification (OR = 6.17, p<0.05). We recommend replicating our study with larger sample size in other settings. Additionally, we recommend conducting validation studies to confirm accuracy and completeness of live births and neonatal deaths reported in household surveys with events reported in a full birth history and the extent of underestimation of neonatal mortality resulting from misclassifications. Questions on fetal movement, signs of life at delivery and improved probing among older mother may be useful to improve accuracy of reported events. Public Library of Science 2016-12-28 /pmc/articles/PMC5193424/ /pubmed/28030594 http://dx.doi.org/10.1371/journal.pone.0168743 Text en © 2016 Liu et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Liu, Li
Kalter, Henry D.
Chu, Yue
Kazmi, Narjis
Koffi, Alain K.
Amouzou, Agbessi
Joos, Olga
Munos, Melinda
Black, Robert E.
Understanding Misclassification between Neonatal Deaths and Stillbirths: Empirical Evidence from Malawi
title Understanding Misclassification between Neonatal Deaths and Stillbirths: Empirical Evidence from Malawi
title_full Understanding Misclassification between Neonatal Deaths and Stillbirths: Empirical Evidence from Malawi
title_fullStr Understanding Misclassification between Neonatal Deaths and Stillbirths: Empirical Evidence from Malawi
title_full_unstemmed Understanding Misclassification between Neonatal Deaths and Stillbirths: Empirical Evidence from Malawi
title_short Understanding Misclassification between Neonatal Deaths and Stillbirths: Empirical Evidence from Malawi
title_sort understanding misclassification between neonatal deaths and stillbirths: empirical evidence from malawi
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5193424/
https://www.ncbi.nlm.nih.gov/pubmed/28030594
http://dx.doi.org/10.1371/journal.pone.0168743
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