Positive predictive value of cardiac examination, procedure and surgery codes in the Danish National Patient

Kasper Adelborg1,2, Jens Sundbøll1,2, Troels Munch1

  • 1Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.

BMJ Open
|December 13, 2016
PubMed

Insights

Data quality for cardiac interventions in Danish registries is high. Positive predictive values (PPVs) for examinations, procedures, and surgeries were computed, showing excellent accuracy for cardiovascular research.

Area of Science:

  • Cardiovascular research
  • Health informatics
  • Medical data quality

Background:

  • Danish medical registries are valuable for cardiovascular research.
  • Data quality of cardiac interventions in these registries is not well-established.

Purpose of the Study:

  • To compute positive predictive values (PPVs) for cardiac examinations, procedures, and surgeries.
  • To assess the data quality of registered cardiac interventions in the Danish National Patient Registry (DNPR) between 2010-2012.

Main Methods:

  • A population-based validation study design was employed.
  • 1239 patients undergoing various cardiac interventions were randomly sampled from three hospitals in the Central Denmark Region.
  • Medical record review served as the reference standard for calculating PPVs.

Main Results:

  • High PPVs were observed across all categories: 98% for examinations, 98% for procedures, and 99% for cardiac surgery.
  • Specific PPVs included 97% for echocardiography, 98% for percutaneous coronary intervention, and 98% for coronary artery bypass graft surgery.
  • Coding accuracy was consistent across demographic groups, with high inter-reviewer agreement (99%).

Conclusions:

  • Cardiac examinations, procedures, and surgeries are recorded with high data quality in the Danish National Patient Registry.
  • These findings support the continued use of the DNPR for robust cardiovascular research.
Abstract

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