K S Biggerstaff1,2,3, B J Frankfort3, S Orengo-Nania2,3, J Garcia4,5, E Chiao1,6, J R Kramer1,6, D White1,6. 1. a Houston Center for Innovations in Quality, Effectiveness and Safety , Michael E. DeBakeyVeterans Affairs Medical Center , Houston , TX , USA. 2. b Eye Care Line , Michael E. DeBakey Veterans Affairs Medical Center , Houston , TX , USA. 3. c Department of Ophthalmology , Baylor College of Medicine , Houston , TX , USA. 4. d Division of Diabetes, Endocrinology and Metabolism, MCL, Center for Translational Research on Inflammatory Diseases , Michael E DeBakey Veterans Affairs Medical Center and Baylor College of Medicine , Houston , TX , USA. 5. e Geriatric Research, Education and Clinical Center (GRECC), VA Puget Sound Health Care System , University of Washington , Seattle , WA , USA. 6. f Section of Health Services Research, Department of Medicine , Baylor College of Medicine , Houston , TX , USA.
Abstract
PURPOSE: The validity of the International Classification of Diseases, 9th revision, Clinical Modification (ICD-9) code for primary open angle glaucoma (POAG) in the Department of Veterans Affairs (VA) electronic medical record has not been examined. We determined the accuracy of the ICD-9 code for POAG and developed diagnostic algorithms for the detection of POAG. METHODS: We conducted a retrospective study of abstracted data from the Michael E. DeBakey VA Medical Center's medical records of 334 unique patients with at least one visit to the Eye Clinic between 1999 and 2013. Algorithms were developed to validly identify POAG using ICD-9 codes and pharmacy data. The positive predictive value (PPV), negative predictive value (NPV), sensitivity, specificity and percent agreement of the various algorithms were calculated. RESULTS: For the ICD-9 code 365.1x, the PPV was 65.9%, NPV was 95.2%, sensitivity was 100%, specificity was 82.6%, and percent agreement was 87.8%. The algorithm with the highest PPV was 76.3%, using pharmacy data in conjunction with two or more ICD-9 codes for POAG, but this algorithm also had the lowest NPV at 88.2%. CONCLUSIONS: Various algorithms for identifying POAG in the VA administrative databases have variable validity. Depending on the type of research being done, the ICD-9 code 365.1x can be used for epidemiologic or health services database research.
PURPOSE: The validity of the International Classification of Diseases, 9th revision, Clinical Modification (ICD-9) code for primary open angle glaucoma (POAG) in the Department of Veterans Affairs (VA) electronic medical record has not been examined. We determined the accuracy of the ICD-9 code for POAG and developed diagnostic algorithms for the detection of POAG. METHODS: We conducted a retrospective study of abstracted data from the Michael E. DeBakey VA Medical Center's medical records of 334 unique patients with at least one visit to the Eye Clinic between 1999 and 2013. Algorithms were developed to validly identify POAG using ICD-9 codes and pharmacy data. The positive predictive value (PPV), negative predictive value (NPV), sensitivity, specificity and percent agreement of the various algorithms were calculated. RESULTS: For the ICD-9 code 365.1x, the PPV was 65.9%, NPV was 95.2%, sensitivity was 100%, specificity was 82.6%, and percent agreement was 87.8%. The algorithm with the highest PPV was 76.3%, using pharmacy data in conjunction with two or more ICD-9 codes for POAG, but this algorithm also had the lowest NPV at 88.2%. CONCLUSIONS: Various algorithms for identifying POAG in the VA administrative databases have variable validity. Depending on the type of research being done, the ICD-9 code 365.1x can be used for epidemiologic or health services database research.
Authors: Yih-Chung Tham; Xiang Li; Tien Y Wong; Harry A Quigley; Tin Aung; Ching-Yu Cheng Journal: Ophthalmology Date: 2014-06-26 Impact factor: 12.079
Authors: Timothy T Xu; Cole E Bothun; Tina M Hendricks; Sasha A Mansukhani; Erick D Bothun; Launia J White; Brian G Mohney Journal: Ophthalmic Epidemiol Date: 2021-11-25
Authors: Cari L Nealon; Christopher W Halladay; Tyler G Kinzy; Piana Simpson; Rachael L Canania; Scott A Anthony; David P Roncone; Lea R Sawicki Rogers; Jenna N Leber; Jacquelyn M Dougherty; Jack M Sullivan; Wen-Chih Wu; Paul B Greenberg; Sudha K Iyengar; Dana C Crawford; Neal S Peachey; Jessica N Cooke Bailey Journal: Ophthalmic Epidemiol Date: 2021-11-25
Authors: Kristin S Biggerstaff; Donna L White; Benjamin J Frankfort; Peter Richardson; Silvia Orengo-Nania; Jose Garcia; Elizabeth Y Chiao; Jennifer R Kramer Journal: Graefes Arch Clin Exp Ophthalmol Date: 2021-07-17 Impact factor: 3.117