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Validating the British Columbia Perinatal Data Registry: a chart re-abstraction study.

Gillian Frosst1, Jennifer Hutcheon2,3,4, K S Joseph5,6

  • 1Perinatal Services BC, West Tower, 3rd Floor, 555 West 12th Avenue, Vancouver, British Columbia, Canada, V5Z 3X7. Gillian.Frosst@interiorhealth.ca.

BMC Pregnancy and Childbirth
|May 28, 2015
PubMed
Summary

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This study validated the British Columbia Perinatal Data Registry (BCPDR), finding excellent accuracy for many key obstetrical and neonatal health variables. Some data points require improved definitions and training for enhanced data quality.

Area of Science:

  • Perinatal Health Data Management
  • Public Health Surveillance
  • Medical Record Accuracy

Background:

  • The British Columbia Perinatal Data Registry (BCPDR) collects comprehensive obstetrical and neonatal medical data.
  • Assessing data validity is crucial for reliable public health surveillance and research.

Purpose of the Study:

  • To evaluate the accuracy and completeness of data within the BCPDR.
  • To identify areas for improvement in data collection and abstraction.

Main Methods:

  • A provincial chart re-abstraction study was conducted using a two-stage stratified clustered sampling design.
  • 85 maternal and 32 newborn variables were assessed for completeness and validity.
  • Validity was measured using sensitivity, specificity, and intra-class correlation coefficients (ICC).

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Main Results:

  • Mandatory variables like indications for delivery were 100% complete.
  • Key surveillance variables, including HIV screening and induction of labor, demonstrated high validity.
  • Variables such as pre-pregnancy weight showed higher completeness in re-abstraction compared to the BCPDR.

Conclusions:

  • The BCPDR exhibits excellent validity for many critical clinical and population health variables.
  • Specific variables require enhanced definitions, system modifications, and abstractor training to improve data quality.