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Data accuracy in the Victorian Perinatal Data Collection: Results of a validation study of 2011 data

Margaret M Flood1, Susan J McDonald1,2, Wendy E Pollock1,3

  • 11 La Trobe University, Australia.

Health Information Management : Journal of the Health Information Management Association of Australia
|May 25, 2017
PubMed

Insights

Data quality for the Victorian Perinatal Data Collection (VPDC) in 2011 was generally high, with most items showing excellent accuracy. However, some newer items require further validation for reliable health planning.

Area of Science:

  • Public Health Data Quality
  • Perinatal Health Monitoring
  • Health Information Systems

Background:

  • The Victorian Perinatal Data Collection (VPDC) is crucial for public health planning, monitoring, and research.
  • Ensuring the accuracy of perinatal data is essential for its reliable use.
  • Periodic validation studies are necessary to assess data quality.

Purpose of the Study:

  • To conduct a validation study of birth data from the Victorian Perinatal Data Collection (VPDC) for the year 2011.
  • To assess the accuracy of 93 specific data items within the VPDC.
  • To identify areas of high and low data accuracy for future improvements.

Main Methods:

  • A random one percent sample of births in Victoria in 2011 was selected.
  • Data from original medical records at birth hospitals were compared with VPDC data.
  • Accuracy metrics including sensitivity, specificity, and predictive values were calculated for dichotomous items.

Main Results:

  • High accuracy (≥99%) was observed for 17 data items, primarily neonatal and intrapartum.
  • Accuracy was ≥95% for 46 items, with neonatal and postnatal care episodes showing high accuracy proportions.
  • Nine items introduced in 2009 had accuracy below 80%, and two smoking-related items showed significant inaccuracy.

Conclusions:

  • Overall, Victorian perinatal data for 2011 demonstrated high accuracy, supporting its use in health planning.
  • Specific data items introduced in 2009 require attention due to lower validated accuracy.
  • Awareness of limitations for newer data items is advised for accurate interpretation and use.
Abstract

Keywords:
Australiadata accuracydata collectionperinatal carequality improvementsensitivity and specificityvalidation studies

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