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Inaccuracy of ICD-9 Codes for Chronic Kidney Disease: A Study from Two Practice-based Research Networks (PBRNs)
Charlotte W Cipparone1, Matthew Withiam-Leitch2, Kim S Kimminau2
1From the Primary Care Research Institute, Department of Family Medicine, University at Buffalo, Buffalo, NY (CWC, MW-L, CHF, RS, LK); and the Department of Family Medicine, University of Kansas Medical Center, Kansas City, KS (KSK). charlotte.cipparone@gmail.com.
Insights
Many patients with the chronic kidney disease (CKD) ICD-9 code lack clinical indicators for the disease. This highlights significant inaccuracies in CKD coding within electronic medical records.
Area of Science:
- Medical Informatics
- Nephrology
- Health Services Research
Background:
- Inaccurate International Classification of Diseases, Ninth Revision (ICD-9) coding leads to unreliable research data and potential patient mismanagement.
- Misuse of ICD-9 codes, particularly for chronic kidney disease (CKD), was investigated due to patient reports contradicting their medical records.
Purpose of the Study:
- To determine the prevalence of International Classification of Diseases, Ninth Revision (ICD-9) code misuse for chronic kidney disease (CKD) stage 3.
- To assess the accuracy of ICD-9 code 585.x in reflecting actual CKD diagnoses in electronic medical records (EMRs).
Main Methods:
- A retrospective chart review was conducted on 325 patients with the ICD-9 code for CKD stage 3 (585.3).
- Data were extracted from electronic medical records across three primary care practices in Buffalo, New York, and Kansas City, Kansas.
Main Results:
- Nearly half (47%) of patients with the CKD ICD-9 code lacked clinical indicators of the disease, according to Kidney Disease Outcomes Quality Initiative guidelines.
- The prevalence of accurate CKD diagnosis among patients with the ICD-9 code 585.3 was significantly lower than indicated by the code itself.
Conclusions:
- The ICD-9 code for CKD stage 3 (585.3) does not accurately represent disease prevalence in the studied population.
- Inaccurate coding has clinical implications, potentially leading to unnecessary treatments and tests for patients.
- This coding inaccuracy poses a significant challenge for research relying on EMR data for patient identification and recruitment.
Background:
Inaccurate use of International Classification of Diseases, Ninth Revision (ICD-9), codes obfuscates registries used for research, resulting in unreliable data and inaccurate measurement of outcomes, and it may contribute to mismanagement of patients. Thus it is important to understand the prevalence of ICD-9 code misuse. We chose chronic kidney disease (CKD) as a condition of interest after several patients recruited for a previous study indicated they did not have the disease, despite the presence of the ICD-9 code (585.x) in their electronic medical record (EMR).
Methods:
Retrospective chart review of patients with the ICD-9 code for CKD stage 3 (585.3; n = 325). Data were collected from EMRs at 3 primary care practices Buffalo, New York (n = 2), and Kansas City, Kansas (n = 1).
Results:
Across all practices, 47% of patients with the CKD ICD-9 code did not have clinical indicators for the disease, based on Kidney Disease Outcomes Quality Initiative guidelines.
Conclusions:
The CKD stage 3 ICD-9 code usage did not accurately reflect the prevalence of disease among this population. This has clinical implications because patients may be treated or receive tests for a disease they do not have. This also presents an important issue for research projects that rely on accurate data from EMRs to identify and recruit patients.
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