Agreement between routine and research measurement of infant height and weight

M Bryant1, G Santorelli2, L Fairley2

  • 1Clinical Trials Research Unit, University of Leeds, Leeds, UK Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Trust, Bradford, UK.

Insights

Routine infant health records show good agreement with researcher data for infant weight and height. However, wide limits of agreement, particularly for height, suggest caution when using routine data for research.

Area of Science:

  • Pediatric Health Monitoring
  • Biomedical Research Data Integrity

Background:

  • Routine infant growth data collection is standard practice in many countries.
  • These data hold significant potential for use in health monitoring and research.
  • Ensuring the accuracy and reliability of this data is crucial for valid research outcomes.

Purpose of the Study:

  • To assess the agreement between infant length/height and weight measurements from routine health records and researcher-collected data.
  • To evaluate the feasibility and accuracy of using routine infant data for research purposes.

Main Methods:

  • Comparison of height/length and weight data at 6, 12, and 24 months from the Born in Bradford UK birth cohort.
  • Routine data collected by health visitors were compared with researcher-collected data within a 2-month window.
  • Age-adjusted data were analyzed using Bland Altman plots to determine agreement.

Main Results:

  • Agreement was observed between routine and researcher data, with better concordance for weight than for height.
  • Routine data showed a tendency to underestimate length at 6 months and overestimate at 12 and 24 months.
  • Weight measurements from routine data slightly overestimated infant weight across all measured ages, with wide limits of agreement for height.

Conclusions:

  • Routine infant data collection is a feasible method for research, despite observed wide limits of agreement.
  • Methodological variations and clinical practice variability may contribute to discrepancies between data sources.
  • Ongoing training and assessment for healthcare professionals are essential to maintain data quality for routine health monitoring and research.
Abstract

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