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Quality and completeness of diagnoses recorded in the new CPRD Aurum Database: evaluation of pulmonary embolism

Susan S Jick1,2, Katrina Wilcox Hagberg1, Rebecca Persson1

  • 1Boston Collaborative Drug Surveillance Program, Lexington, MA, USA.

Pharmacoepidemiology and Drug Safety
|March 30, 2020
PubMed

Insights

The new CPRD Aurum database shows promising data quality for pulmonary embolism (PE) research. Its diagnostic accuracy and completeness are reassuring for serious medical conditions, supporting its utility for clinical studies.

Area of Science:

  • Health Informatics
  • Clinical Epidemiology
  • Data Quality Assessment

Background:

  • The Clinical Practice Research Datalink (CPRD) has introduced CPRD Aurum, a new medical record database.
  • Assessing the quality and completeness of CPRD Aurum is crucial for its reliable use in research.

Purpose of the Study:

  • To evaluate the diagnostic accuracy and completeness of pulmonary embolism (PE) data within the CPRD Aurum database.
  • To compare PE diagnoses in CPRD Aurum against the Hospital Episode Statistics (HES) dataset.

Main Methods:

  • A random sample of 50,000 patients from CPRD Aurum was analyzed for PE diagnoses.
  • PE diagnoses in CPRD Aurum were cross-referenced with diagnoses in HES.
  • Proportions of agreement and completeness were calculated between the two datasets.

Main Results:

  • Out of 781 PE patients identified, 580 were in CPRD Aurum and 632 in HES, with 431 in both.
  • The proportion of anticoagulated PE cases in CPRD Aurum confirmed by HES was 76.8%.
  • The completeness of primary hospitalized PE events from HES compared to CPRD Aurum was 79.1%.

Conclusions:

  • CPRD Aurum demonstrates promising correctness and completeness for serious acute conditions like PE.
  • The data quality in CPRD Aurum is reassuring for medical research endeavors.
  • Further evaluation of other data elements will enhance understanding of CPRD Aurum's research utility.
Abstract

Keywords:
CPRD AurumClinical Practice Research Datalinkdata completenessdata qualitydata validationpharmacoepidemiology

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