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Validity of code based algorithms to identify primary open angle glaucoma (POAG) in Veterans Affairs (VA)
K S Biggerstaff1,2,3, B J Frankfort3, S Orengo-Nania2,3
1a Houston Center for Innovations in Quality, Effectiveness and Safety , Michael E. DeBakeyVeterans Affairs Medical Center , Houston , TX , USA.
The International Classification of Diseases, 9th revision, Clinical Modification (ICD-9) code for primary open-angle glaucoma (POAG) shows moderate accuracy in VA records. Algorithms combining ICD-9 codes and pharmacy data improve POAG detection for research.
Area of Science:
- Ophthalmology
- Health Informatics
- Medical Coding
Background:
- The accuracy of International Classification of Diseases, 9th revision, Clinical Modification (ICD-9) codes for primary open-angle glaucoma (POAG) in electronic medical records within the Department of Veterans Affairs (VA) has not been previously established.
- Accurate coding is crucial for reliable epidemiological and health services research.
Purpose of the Study:
- To determine the accuracy of the ICD-9 code for primary open-angle glaucoma (POAG).
- To develop and evaluate diagnostic algorithms for identifying POAG in VA electronic medical records.
Main Methods:
- A retrospective study analyzed 334 patient records from the Michael E. DeBakey VA Medical Center (1999-2013).
- Algorithms were developed using ICD-9 codes and pharmacy data to identify POAG cases.
- Key performance metrics including positive predictive value (PPV), negative predictive value (NPV), sensitivity, specificity, and percent agreement were calculated.
Main Results:
- The standalone ICD-9 code 365.1x for POAG demonstrated a PPV of 65.9%, NPV of 95.2%, sensitivity of 100%, specificity of 82.6%, and 87.8% agreement.
- An algorithm combining pharmacy data with two or more POAG ICD-9 codes achieved the highest PPV (76.3%) but had the lowest NPV (88.2%).
Conclusions:
- The validity of algorithms for identifying POAG in VA administrative databases varies.
- The ICD-9 code 365.1x can be utilized for specific research purposes, such as epidemiologic or health services database research, depending on the required level of accuracy.
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