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Birthweight: EN-BIRTH multi-country validation study

BACKGROUND: Accurate birthweight is critical to inform clinical care at the individual level and tracking progress towards national/global targets at the population level. Low birthweight (LBW) < 2500 g affects over 20.5 million newborns annually. However, data are lacking and may be affected by...

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Autores principales: Kong, Stefanie, Day, Louise T., Zaman, Sojib Bin, Peven, Kimberly, Salim, Nahya, Sunny, Avinash K., Shamba, Donat, Rahman, Qazi Sadeq-ur, K.C., Ashish, Ruysen, Harriet, El Arifeen, Shams, Mee, Paul, Gladstone, Miriam E., Blencowe, Hannah, 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/PMC7995711/
https://www.ncbi.nlm.nih.gov/pubmed/33765936
http://dx.doi.org/10.1186/s12884-020-03355-3
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author Kong, Stefanie
Day, Louise T.
Zaman, Sojib Bin
Peven, Kimberly
Salim, Nahya
Sunny, Avinash K.
Shamba, Donat
Rahman, Qazi Sadeq-ur
K.C., Ashish
Ruysen, Harriet
El Arifeen, Shams
Mee, Paul
Gladstone, Miriam E.
Blencowe, Hannah
Lawn, Joy E.
author_facet Kong, Stefanie
Day, Louise T.
Zaman, Sojib Bin
Peven, Kimberly
Salim, Nahya
Sunny, Avinash K.
Shamba, Donat
Rahman, Qazi Sadeq-ur
K.C., Ashish
Ruysen, Harriet
El Arifeen, Shams
Mee, Paul
Gladstone, Miriam E.
Blencowe, Hannah
Lawn, Joy E.
author_sort Kong, Stefanie
collection PubMed
description BACKGROUND: Accurate birthweight is critical to inform clinical care at the individual level and tracking progress towards national/global targets at the population level. Low birthweight (LBW) < 2500 g affects over 20.5 million newborns annually. However, data are lacking and may be affected by heaping. This paper evaluates birthweight measurement within the Every Newborn Birth Indicators Research Tracking in Hospitals (EN-BIRTH) study. METHODS: The EN-BIRTH study took place in five hospitals in Bangladesh, Nepal and Tanzania (2017–2018). Clinical observers collected time-stamped data (gold standard) for weighing at birth. We compared accuracy for two data sources: routine hospital registers and women’s report at exit interview survey. We calculated absolute differences and individual-level validation metrics. We analysed birthweight coverage and quality gaps including timing and heaping. Qualitative data explored barriers and enablers for routine register data recording. RESULTS: Among 23,471 observed births, 98.8% were weighed. Exit interview survey-reported weighing coverage was 94.3% (90.2–97.3%), sensitivity 95.0% (91.3–97.8%). Register-reported coverage was 96.6% (93.2–98.9%), sensitivity 97.1% (94.3–99%). Routine registers were complete (> 98% for four hospitals) and legible > 99.9%. Weighing of stillbirths varied by hospital, ranging from 12.5–89.0%. Observed LBW rate was 15.6%; survey-reported rate 14.3% (8.9–20.9%), sensitivity 82.9% (75.1–89.4%), specificity 96.1% (93.5–98.5%); register-recorded rate 14.9%, sensitivity 90.8% (85.9–94.8%), specificity 98.5% (98–99.0%). In surveys, “don’t know” responses for birthweight measured were 4.7%, and 2.9% for knowing the actual weight. 95.9% of observed babies were weighed within 1 h of birth, only 14.7% with a digital scale. Weight heaping indices were around two-fold lower using digital scales compared to analogue. Observed heaping was almost 5% higher for births during the night than day. Survey-report further increased observed birthweight heaping, especially for LBW babies. Enablers to register birthweight measurement in qualitative interviews included digital scale availability and adequate staffing. CONCLUSIONS: Hospital registers captured birthweight and LBW prevalence more accurately than women’s survey report. Even in large hospitals, digital scales were not always available and stillborn babies not always weighed. Birthweight data are being captured in hospitals and investment is required to further improve data quality, researching of data flow in routine systems and use of data at every level. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-020-03355-3.
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spelling pubmed-79957112021-03-26 Birthweight: EN-BIRTH multi-country validation study Kong, Stefanie Day, Louise T. Zaman, Sojib Bin Peven, Kimberly Salim, Nahya Sunny, Avinash K. Shamba, Donat Rahman, Qazi Sadeq-ur K.C., Ashish Ruysen, Harriet El Arifeen, Shams Mee, Paul Gladstone, Miriam E. Blencowe, Hannah Lawn, Joy E. BMC Pregnancy Childbirth Research BACKGROUND: Accurate birthweight is critical to inform clinical care at the individual level and tracking progress towards national/global targets at the population level. Low birthweight (LBW) < 2500 g affects over 20.5 million newborns annually. However, data are lacking and may be affected by heaping. This paper evaluates birthweight measurement within the Every Newborn Birth Indicators Research Tracking in Hospitals (EN-BIRTH) study. METHODS: The EN-BIRTH study took place in five hospitals in Bangladesh, Nepal and Tanzania (2017–2018). Clinical observers collected time-stamped data (gold standard) for weighing at birth. We compared accuracy for two data sources: routine hospital registers and women’s report at exit interview survey. We calculated absolute differences and individual-level validation metrics. We analysed birthweight coverage and quality gaps including timing and heaping. Qualitative data explored barriers and enablers for routine register data recording. RESULTS: Among 23,471 observed births, 98.8% were weighed. Exit interview survey-reported weighing coverage was 94.3% (90.2–97.3%), sensitivity 95.0% (91.3–97.8%). Register-reported coverage was 96.6% (93.2–98.9%), sensitivity 97.1% (94.3–99%). Routine registers were complete (> 98% for four hospitals) and legible > 99.9%. Weighing of stillbirths varied by hospital, ranging from 12.5–89.0%. Observed LBW rate was 15.6%; survey-reported rate 14.3% (8.9–20.9%), sensitivity 82.9% (75.1–89.4%), specificity 96.1% (93.5–98.5%); register-recorded rate 14.9%, sensitivity 90.8% (85.9–94.8%), specificity 98.5% (98–99.0%). In surveys, “don’t know” responses for birthweight measured were 4.7%, and 2.9% for knowing the actual weight. 95.9% of observed babies were weighed within 1 h of birth, only 14.7% with a digital scale. Weight heaping indices were around two-fold lower using digital scales compared to analogue. Observed heaping was almost 5% higher for births during the night than day. Survey-report further increased observed birthweight heaping, especially for LBW babies. Enablers to register birthweight measurement in qualitative interviews included digital scale availability and adequate staffing. CONCLUSIONS: Hospital registers captured birthweight and LBW prevalence more accurately than women’s survey report. Even in large hospitals, digital scales were not always available and stillborn babies not always weighed. Birthweight data are being captured in hospitals and investment is required to further improve data quality, researching of data flow in routine systems and use of data at every level. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-020-03355-3. BioMed Central 2021-03-26 /pmc/articles/PMC7995711/ /pubmed/33765936 http://dx.doi.org/10.1186/s12884-020-03355-3 Text en © The Author(s) 2021 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
Kong, Stefanie
Day, Louise T.
Zaman, Sojib Bin
Peven, Kimberly
Salim, Nahya
Sunny, Avinash K.
Shamba, Donat
Rahman, Qazi Sadeq-ur
K.C., Ashish
Ruysen, Harriet
El Arifeen, Shams
Mee, Paul
Gladstone, Miriam E.
Blencowe, Hannah
Lawn, Joy E.
Birthweight: EN-BIRTH multi-country validation study
title Birthweight: EN-BIRTH multi-country validation study
title_full Birthweight: EN-BIRTH multi-country validation study
title_fullStr Birthweight: EN-BIRTH multi-country validation study
title_full_unstemmed Birthweight: EN-BIRTH multi-country validation study
title_short Birthweight: EN-BIRTH multi-country validation study
title_sort birthweight: en-birth multi-country validation study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7995711/
https://www.ncbi.nlm.nih.gov/pubmed/33765936
http://dx.doi.org/10.1186/s12884-020-03355-3
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