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Updated: Nov 11, 2025

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Birthweight: EN-BIRTH multi-country validation study
Stefanie Kong1, Louise T Day2, Sojib Bin Zaman3
1Centre for Maternal, Adolescent, Reproductive & Child Health (MARCH), London School of Hygiene & Tropical Medicine (LSHTM), London, UK.
Insights
Accurate birthweight data is crucial for newborn care. Hospital registers provide more reliable birthweight and low birthweight (LBW) data than patient surveys, though improvements are needed.
Area of Science:
- Global Health
- Neonatal Research
- Data Quality Assessment
Background:
- Accurate birthweight measurement is vital for individual clinical care and population-level health monitoring.
- Low birthweight (LBW) affects over 20.5 million newborns annually, yet data quality can be compromised by issues like heaping.
- The Every Newborn Birth Indicators Research Tracking in Hospitals (EN-BIRTH) study investigated birthweight measurement practices.
Purpose of the Study:
- To evaluate the accuracy of birthweight data collected through routine hospital registers compared to women's self-reports.
- To identify data quality gaps, including weighing coverage, timing, and birthweight heaping.
- To explore barriers and enablers for accurate birthweight recording in hospital settings.
Main Methods:
- The EN-BIRTH study involved clinical observers in five hospitals across Bangladesh, Nepal, and Tanzania (2017-2018).
- Compared accuracy of birthweight data from clinical observers (gold standard), routine hospital registers, and exit interview surveys.
- Analyzed coverage, timing, heaping, and used qualitative data to understand recording challenges.
Main Results:
- Weighing coverage was high (98.8% observed), with registers (96.6%) showing higher sensitivity than surveys (94.3%) for recording birthweight.
- Routine registers demonstrated high completeness (>98%) and legibility (>99.9%).
- Digital scales reduced birthweight heaping, and heaping was higher for night births and increased with survey reporting, especially for LBW infants.
Conclusions:
- Hospital registers are more accurate for capturing birthweight and LBW prevalence than patient surveys.
- Despite high coverage, challenges remain, including inconsistent weighing of stillborns and limited availability of digital scales.
- Investment is needed to enhance data quality, understand data flow, and improve the utilization of birthweight data in healthcare systems.
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.
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