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Multi method approach to the assessment of data quality in the Finnish Medical Birth Registry

J Teperi1

  • 1Department of Public Health, Helsinki, Finland.

Abstract

Insights

The Finnish Medical Birth Registry (MBR) data is generally valid, but diagnoses and medical procedures require improvement. This study assessed MBR data quality using multiple controls and internal analysis for better birth data accuracy.

Area of Science:

  • Public Health
  • Biostatistics
  • Medical Informatics

Background:

  • The Finnish Medical Birth Registry (MBR) is a crucial source for perinatal health data.
  • Assessing the validity of registry data is essential for reliable epidemiological research and public health monitoring.

Purpose of the Study:

  • To comprehensively evaluate the data accuracy and completeness of the Finnish Medical Birth Registry (MBR) for 1987.
  • To identify specific areas of data quality that require improvement within the MBR.

Main Methods:

  • Individual linkage of MBR data (n = 59,370) to a sample of medical records (n = 775) and all perinatal death certificates.
  • Comparison of nationwide MBR data with hospital statistics and cause of death registry data.
  • Internal analysis of birth weight and gestational age distributions.

Main Results:

  • High agreement (≥95%) between MBR data and medical records for most variables, with less than 1% missing data.
  • Lower agreement for diagnoses (32-86%) and medical procedures (30-72%), with significant hospital-level variations.
  • Caesarean sections showed better registration rates compared to other procedures.

Conclusions:

  • The combined use of multiple control datasets and internal analysis effectively validated the MBR data content.
  • While overall MBR data validity is good, the quality of registered diagnoses and medical procedures is insufficient for reliable analysis.

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