Observational studyBMC pregnancy and childbirth2021
Birthweight: EN-BIRTH multi-country validation study.
Observational study in BMC pregnancy and childbirth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 44 citations in OpenAlex.
- Nationwide Trends in Newborn Anthropometric Indicators in Kazakhstan, 2013-2022: A Population-Level Time-Trend Analysis.Children (Basel, Switzerland) · 2026Article
- Vulnerable newborn types: Analysis of population-based registries for 165 million births in 23 countries, 2000-2021.BJOG : an international journal of obstetrics and gynaecology · 2025Article
- Vulnerable newborn types: analysis of subnational, population-based birth cohorts for 541 285 live births in 23 countries, 2000-2021.BJOG : an international journal of obstetrics and gynaecology · 2025Article
- Born too soon: global epidemiology of preterm birth and drivers for change.Reproductive health · 2025Article
- Malnutrition in infants aged under 6 months: prevalence and anthropometric assessment - analysis of 56 low- and middle-income country DHS datasets.BMJ global health · 2025Article
- Measuring ENAP interventions for small and/or sick newborns in routine health information systems: indicators and considerations from a WHO expert consultation.Journal of global health · 2025Article
- Post-term births as a risk factor for small for gestational age births and infant mortality in Brazil, Mexico, and Palestinian refugees: An analysis of electronic birth records.Paediatric and perinatal epidemiology · 2025Article
- Increase in birthweight coverage of neonatal deaths is needed to monitor low birthweight prevalence in India: lessons from the National Family Health Survey.BMC pregnancy and childbirth · 2023Article
- Improving birth weight measurement and recording practices in Kenya and Tanzania: a prospective intervention study with historical controls.Population health metrics · 2023Article
- Newborn Mid-Upper Arm Circumference Identifies Low-Birth Weight and Vulnerable Infants: A Secondary Analysis.Current developments in nutrition · 2022Article
- Data quality of birthweight reporting in India: Evidence from cross-sectional surveys and service statistics.SSM - population health · 2022Article
- Targeted newborn metabolomics: prediction of gestational age from cord blood.Journal of perinatology : official journal of the California Perinatal Association · 2022Article
- Association between maternal depression and neonatal outcomes: Evidence from a survey of nationally representative longitudinal studies.Frontiers in public health · 2022Article
- Effect of birthweight measurement quality improvement on low birthweight prevalence in rural Ethiopia.Population health metrics · 2021Article
- Prevalence of low birth weight and macrosomia estimates based on heaping adjustment method in China.Scientific reports · 2021Article
- Barriers and enablers to routine register data collection for newborns and mothers: EN-BIRTH multi-country validation study.BMC pregnancy and childbirth · 2021Observational
- Survey of women's report for 33 maternal and newborn indicators: EN-BIRTH multi-country validation study.BMC pregnancy and childbirth · 2021Observational
- Birthweight measurement processes and perceived value: qualitative research in one EN-BIRTH study hospital in Tanzania.BMC pregnancy and childbirth · 2021Observational
- Kangaroo mother care: EN-BIRTH multi-country validation study.BMC pregnancy and childbirth · 2021Observational
- Count every newborn: EN-BIRTH study improving facility-based coverage and quality measurement in routine information systems.BMC pregnancy and childbirth · 2021Article
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Authors and funding
16 authors at 5 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAccurate 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.
methodsThe 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.
resultsAmong 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.
conclusionsHospital 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.
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