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Birthweight data completeness and quality in population-based surveys: EN-INDEPTH study

BACKGROUND: Low birthweight (< 2500 g) is an important marker of maternal health and is associated with neonatal mortality, long-term development and chronic diseases. Household surveys remain an important source of population-based birthweight information, notably Demographic and Health Surveys...

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Autores principales: Biks, Gashaw Andargie, Blencowe, Hannah, Hardy, Victoria Ponce, Geremew, Bisrat Misganaw, Angaw, Dessie Abebaw, Wagnew, Alemakef, Abebe, Solomon Mekonnen, Guadu, Tadesse, Martins, Justiniano S.D., Fisker, Ane Baerent, Imam, Md. Ali, Nettey, Obed Ernest A., Kasasa, Simon, Di Stefano, Lydia, Akuze, Joseph, Kwesiga, Doris, Lawn, Joy E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7869202/
https://www.ncbi.nlm.nih.gov/pubmed/33557859
http://dx.doi.org/10.1186/s12963-020-00229-w
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author Biks, Gashaw Andargie
Blencowe, Hannah
Hardy, Victoria Ponce
Geremew, Bisrat Misganaw
Angaw, Dessie Abebaw
Wagnew, Alemakef
Abebe, Solomon Mekonnen
Guadu, Tadesse
Martins, Justiniano S.D.
Fisker, Ane Baerent
Imam, Md. Ali
Nettey, Obed Ernest A.
Kasasa, Simon
Di Stefano, Lydia
Akuze, Joseph
Kwesiga, Doris
Lawn, Joy E.
author_facet Biks, Gashaw Andargie
Blencowe, Hannah
Hardy, Victoria Ponce
Geremew, Bisrat Misganaw
Angaw, Dessie Abebaw
Wagnew, Alemakef
Abebe, Solomon Mekonnen
Guadu, Tadesse
Martins, Justiniano S.D.
Fisker, Ane Baerent
Imam, Md. Ali
Nettey, Obed Ernest A.
Kasasa, Simon
Di Stefano, Lydia
Akuze, Joseph
Kwesiga, Doris
Lawn, Joy E.
author_sort Biks, Gashaw Andargie
collection PubMed
description BACKGROUND: Low birthweight (< 2500 g) is an important marker of maternal health and is associated with neonatal mortality, long-term development and chronic diseases. Household surveys remain an important source of population-based birthweight information, notably Demographic and Health Surveys (DHS) and UNICEF’s Multiple Indicator Cluster Surveys (MICS); however, data quality concerns remain. Few studies have addressed how to close these gaps in surveys. METHODS: The EN-INDEPTH population-based survey of 69,176 women was undertaken in five Health and Demographic Surveillance System sites (Matlab-Bangladesh, Dabat-Ethiopia, Kintampo-Ghana, Bandim-Guinea-Bissau, IgangaMayuge-Uganda). Responses to existing DHS/MICS birthweight questions on 14,411 livebirths were analysed and estimated adjusted odds ratios (aORs) associated with reporting weighing, birthweight and heaping reported. Twenty-eight focus group discussions with women and interviewers explored barriers and enablers to reporting birthweight. RESULTS: Almost all women provided responses to birthweight survey questions, taking on average 0.2 min to answer. Of all babies, 62.4% were weighed at birth, 53.8% reported birthweight and 21.1% provided health cards with recorded birthweight. High levels of heterogeneity were observed between sites. Home births and neonatal deaths were less likely to be weighed at birth (home births aOR 0.03(95%CI 0.02–0.03), neonatal deaths (aOR 0.19(95%CI 0.16–0.24)), and when weighed, actual birthweight was less likely to be known (aOR 0.44(95%CI 0.33–0.58), aOR 0.30(95%CI 0.22–0.41)) compared to facility births and post-neonatal survivors. Increased levels of maternal education were associated with increases in reporting weighing and knowing birthweight. Half of recorded birthweights were heaped on multiples of 500 g. Heaping was more common in IgangaMayuge (aOR 14.91(95%CI 11.37–19.55) and Dabat (aOR 14.25(95%CI 10.13–20.3) compared to Bandim. Recalled birthweights were more heaped than those recorded by card (aOR 2.59(95%CI 2.11–3.19)). A gap analysis showed large missed opportunity between facility birth and known birthweight, especially for neonatal deaths. Qualitative data suggested that knowing their baby’s weight was perceived as valuable by women in all sites, but lack of measurement and poor communication, alongside social perceptions and spiritual beliefs surrounding birthweight, impacted women’s ability to report birthweight. CONCLUSIONS: Substantial data gaps remain for birthweight data in household surveys, even amongst facility births. Improving the accuracy and recording of birthweights, and better communication with women, for example using health cards, could improve survey birthweight data availability and quality.
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spelling pubmed-78692022021-02-08 Birthweight data completeness and quality in population-based surveys: EN-INDEPTH study Biks, Gashaw Andargie Blencowe, Hannah Hardy, Victoria Ponce Geremew, Bisrat Misganaw Angaw, Dessie Abebaw Wagnew, Alemakef Abebe, Solomon Mekonnen Guadu, Tadesse Martins, Justiniano S.D. Fisker, Ane Baerent Imam, Md. Ali Nettey, Obed Ernest A. Kasasa, Simon Di Stefano, Lydia Akuze, Joseph Kwesiga, Doris Lawn, Joy E. Popul Health Metr Research BACKGROUND: Low birthweight (< 2500 g) is an important marker of maternal health and is associated with neonatal mortality, long-term development and chronic diseases. Household surveys remain an important source of population-based birthweight information, notably Demographic and Health Surveys (DHS) and UNICEF’s Multiple Indicator Cluster Surveys (MICS); however, data quality concerns remain. Few studies have addressed how to close these gaps in surveys. METHODS: The EN-INDEPTH population-based survey of 69,176 women was undertaken in five Health and Demographic Surveillance System sites (Matlab-Bangladesh, Dabat-Ethiopia, Kintampo-Ghana, Bandim-Guinea-Bissau, IgangaMayuge-Uganda). Responses to existing DHS/MICS birthweight questions on 14,411 livebirths were analysed and estimated adjusted odds ratios (aORs) associated with reporting weighing, birthweight and heaping reported. Twenty-eight focus group discussions with women and interviewers explored barriers and enablers to reporting birthweight. RESULTS: Almost all women provided responses to birthweight survey questions, taking on average 0.2 min to answer. Of all babies, 62.4% were weighed at birth, 53.8% reported birthweight and 21.1% provided health cards with recorded birthweight. High levels of heterogeneity were observed between sites. Home births and neonatal deaths were less likely to be weighed at birth (home births aOR 0.03(95%CI 0.02–0.03), neonatal deaths (aOR 0.19(95%CI 0.16–0.24)), and when weighed, actual birthweight was less likely to be known (aOR 0.44(95%CI 0.33–0.58), aOR 0.30(95%CI 0.22–0.41)) compared to facility births and post-neonatal survivors. Increased levels of maternal education were associated with increases in reporting weighing and knowing birthweight. Half of recorded birthweights were heaped on multiples of 500 g. Heaping was more common in IgangaMayuge (aOR 14.91(95%CI 11.37–19.55) and Dabat (aOR 14.25(95%CI 10.13–20.3) compared to Bandim. Recalled birthweights were more heaped than those recorded by card (aOR 2.59(95%CI 2.11–3.19)). A gap analysis showed large missed opportunity between facility birth and known birthweight, especially for neonatal deaths. Qualitative data suggested that knowing their baby’s weight was perceived as valuable by women in all sites, but lack of measurement and poor communication, alongside social perceptions and spiritual beliefs surrounding birthweight, impacted women’s ability to report birthweight. CONCLUSIONS: Substantial data gaps remain for birthweight data in household surveys, even amongst facility births. Improving the accuracy and recording of birthweights, and better communication with women, for example using health cards, could improve survey birthweight data availability and quality. BioMed Central 2021-02-08 /pmc/articles/PMC7869202/ /pubmed/33557859 http://dx.doi.org/10.1186/s12963-020-00229-w Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Biks, Gashaw Andargie
Blencowe, Hannah
Hardy, Victoria Ponce
Geremew, Bisrat Misganaw
Angaw, Dessie Abebaw
Wagnew, Alemakef
Abebe, Solomon Mekonnen
Guadu, Tadesse
Martins, Justiniano S.D.
Fisker, Ane Baerent
Imam, Md. Ali
Nettey, Obed Ernest A.
Kasasa, Simon
Di Stefano, Lydia
Akuze, Joseph
Kwesiga, Doris
Lawn, Joy E.
Birthweight data completeness and quality in population-based surveys: EN-INDEPTH study
title Birthweight data completeness and quality in population-based surveys: EN-INDEPTH study
title_full Birthweight data completeness and quality in population-based surveys: EN-INDEPTH study
title_fullStr Birthweight data completeness and quality in population-based surveys: EN-INDEPTH study
title_full_unstemmed Birthweight data completeness and quality in population-based surveys: EN-INDEPTH study
title_short Birthweight data completeness and quality in population-based surveys: EN-INDEPTH study
title_sort birthweight data completeness and quality in population-based surveys: en-indepth study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7869202/
https://www.ncbi.nlm.nih.gov/pubmed/33557859
http://dx.doi.org/10.1186/s12963-020-00229-w
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