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Assessment of Child Anthropometry in a Large Epidemiologic Study
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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.

BMC Pregnancy and Childbirth
|March 26, 2021
PubMed
Summary
This summary is machine-generated.

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.

Keywords:
BirthBirthweightCoverageHealth management information systemsLow birthweightMaternalNewbornStillbirthSurveyValidity

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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.