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Poor validation of medical record ICD-9 diagnoses of gout in a veterans affairs database
Aarti Malik1, Janet E Dinnella, C Kent Kwoh
1University of Pennsylvania and Veterans Affairs Medical Center, Philadelphia, PA, USA.
Insights
Confirming gout diagnoses using medical records is challenging. Direct patient interviews may be necessary to accurately document typical gout features for research.
Area of Science:
- Rheumatology
- Epidemiology
- Health Informatics
Background:
- Diagnostic codes (ICD-9) are crucial for identifying gout patients in studies.
- Accurate patient identification is vital for reliable epidemiologic and clinical research.
Purpose of the Study:
- To assess the accuracy of gout diagnoses documented in medical records.
- To evaluate the utility of direct patient interviews in confirming gout diagnoses.
Main Methods:
- Reviewed 289 patients' electronic medical records with ICD-9 gout codes.
- Applied American College of Rheumatology (ACR), New York, and Rome criteria.
- Conducted direct interviews with a subset of patients for validation.
Main Results:
- Medical record review confirmed gout by ACR criteria in 36%, Rome in 30%, and New York in 33%.
- Patients seen by rheumatologists showed better documentation.
- Interviews improved diagnostic feature documentation to 65%-81%.
Conclusions:
- Confirming ICD-9 coded gout diagnoses from medical records is difficult.
- Current diagnostic criteria and documentation practices may be insufficient.
- Direct patient interviews enhance diagnostic specificity for gout.
Objective:
Diagnostic codes based on medical records or claims data have been used to identify patient populations with gout for important epidemiologic and clinical studies. We evaluated whether we can document the accuracy of such diagnoses by review of medical records and then on direct interviews with a subset of patients.
Methods:
Electronic medical records of 289 patients with 2 visits with ICD-9 codes for gout were extensively reviewed to search for documentation of features that would classify patients as having gout by 3 sets of proposed criteria, the American College of Rheumatology (ACR), New York, or Rome criteria. Records of patients who had been seen by rheumatologists were compared with all others. A subset of patients seen in clinic were directly interviewed for comparison with the results from the records.
Results:
Based on medical records review there was documentation of gout by the ACR criteria in only 36%, Rome criteria in 30%, and New York criteria in 33%. Records of patients who had seen rheumatologists had better documentation of classification features. Interview in clinic of 37 patients also improved documentation of the 3 sets of criteria features of gout in 65%-81% of those with ICD-9 codes for gout.
Conclusion:
We found it difficult to confirm ICD-9 coded diagnoses of gout using currently available proposed criteria from details recorded in medical records. This may reflect a problem with available criteria and with documentation. Direct interview of patients may be needed to confirm the presence of typical features when high specificity is desired.
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