Accuracy of Veterans Administration databases for a diagnosis of rheumatoid arthritis

Arthritis Rheum. 2004 Dec 15;51(6):952-7. doi: 10.1002/art.20827.

Abstract

Objective: To determine the accuracy of International Classification of Diseases (ICD) code 714 for rheumatoid arthritis (RA) diagnosis in a Veterans Administration (VA) hospital database and to examine the effects of adding laboratory and pharmacy data to ICD code 714 on accuracy of RA diagnosis.

Methods: We drew a random sample of patients from all Minneapolis VA rheumatology clinic patients who had at least 1 rheumatology clinic visit between January 2001 and July 2002. Charts of 184 patients were reviewed. The gold standard for RA diagnosis was chart documentation of RA diagnosis by a rheumatologist on > or =2 visits >6 weeks apart. The data definitions of RA diagnosis included presence of ICD code 714 alone or various combinations of ICD code 714, a positive rheumatoid factor (RF), and prescription for a disease-modifying antirheumatic drug (DMARD). Accuracy of data definitions of RA was assessed by calculating sensitivity, specificity, positive and negative predictive values, and area under the receiver operator characteristics curve.

Results: Diagnosis by ICD code 714 had 100% sensitivity, but specificity was only 55% because of a false-positive rate of 34%. The addition of a positive RF and/or a DMARD prescription to ICD code 714 dramatically improved specificity to 83-97% and positive predictive value to 81-97%; however, sensitivity decreased to 76-88%. Diagnosis by ICD 714 alone had the highest negative predicative value of 100%. The area under the curve was the greatest when both ICD code 714 and a positive RF were included, and the least when ICD code alone was used.

Conclusion: ICD code 714 in the VA administrative database is a very sensitive screening tool for identifying patients with RA in the rheumatology clinic population. Addition of the presence of a DMARD prescription and/or a positive RF to selection criteria improves specificity of the diagnosis.

MeSH terms

  • Aged
  • Area Under Curve
  • Arthritis, Rheumatoid / diagnosis*
  • Arthritis, Rheumatoid / physiopathology
  • Databases, Factual / statistics & numerical data*
  • Female
  • Humans
  • Male
  • Medical Records / statistics & numerical data*
  • Middle Aged
  • Military Medicine*
  • Predictive Value of Tests
  • ROC Curve
  • Reproducibility of Results
  • United States
  • United States Department of Veterans Affairs / statistics & numerical data*