The reliability of routine anthropometric data collected by health workers: a cross-sectional study

William Johnson1, Noël Cameron, Peter Dickson

  • 1Centre for Human Development and Ageing, Loughborough University, UK. W.O.Johnson@lboro.ac.uk

Insights

Reliable child growth data is crucial. Health workers in Bradford demonstrated good anthropometric measurement reliability post-training, though external observation slightly decreased accuracy.

Area of Science:

  • Pediatrics
  • Public Health
  • Health Services Research

Background:

  • Accurate child growth data is essential for effective health monitoring and intervention.
  • Despite investments in anthropometric data collection, its reliability remains under-researched.
  • Unreliable measurements can lead to misreporting of growth and undetected health issues.

Purpose of the Study:

  • To evaluate the reliability of routine infant growth measurements after health worker training in anthropometry.
  • To assess the impact of external observation on measurement reliability.

Main Methods:

  • A test-retest design was employed with 70 health workers in Bradford, UK.
  • Health workers performed duplicate measurements of infant weight, length, and circumferences.
  • Technical Error of Measurement (TEM) and reliability coefficients were calculated to assess intra- and inter-observer reliability.

Main Results:

  • Reliability coefficients ranged from 0.96 to 1.00, indicating generally good measurement quality.
  • Measurements taken by health workers observed by an external administrator showed larger TEMs compared to non-observed workers.
  • Significant increases in TEMs were observed for weight, abdominal circumference, and head circumference in the externally observed group.

Conclusions:

  • Health workers in Bradford achieved reliable infant growth measurements following anthropometric training.
  • Reliability assessment serves as a vital quality assurance tool for routine health data.
  • External observation, while potentially improving validity, may slightly reduce measurement reliability.
Abstract

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