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  Vol. 126 No. 7, July 2008 TABLE OF CONTENTS
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 •Diabetic Retinopathy
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Identification of Patients With Diabetic Macular Edema From Claims Data

A Validation Study

Srilaxmi Bearelly, MD; Prithvi Mruthyunjaya, MD; Janice P. Tzeng, BSPH; Ivan J. Suñer, MD; Alisa M. Shea, MPH; Jeffrey T. Lee, PharmD; Jonathan W. Kowalski, PharmD, MS; Lesley H. Curtis, PhD; Kevin A. Schulman, MD; Paul P. Lee, MD, JD

Arch Ophthalmol. 2008;126(7):986-989.

Objective  To assess the validity of an algorithm for identifying patients with diabetic macular edema (DME) using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis codes in administrative billing data from a convenience sample of physician offices.

Methods  A convenience sample of 12 general ophthalmologists and 10 retina specialists applied prespecified algorithms based on ICD-9-CM diagnosis codes to the billing claims of their practices and selected the associated medical records. Four ophthalmologists abstracted data from the medical records, which were then compared with the coded diagnoses. Main outcome measures were sensitivity, specificity, and the {kappa} statistic for the DME algorithm (a combination of codes 250.xx and 362.53), treating medical record documentation of DME as the standard criterion.

Results  The DME algorithm had a sensitivity of 0.88 and a specificity of 0.96 for identifying DME. Excellent agreement was noted between the algorithm and the medical records ({kappa} = 0.84). The algorithm performed less well in identifying patients with a diagnosis of clinically significant DME (sensitivity, 0.86; specificity, 0.84; {kappa} = 0.64).

Conclusions  The results of this pilot study suggest that patients with DME can be identified accurately in claims data using ICD-9-CM diagnosis codes. Application of this algorithm could improve investigations of disease prevalence and disease burden and provide an efficient means of assessing care and interventions.


Author Affiliations: Duke University Eye Center (Drs Bearelly, Mruthyunjaya, Suñer, and P. P. Lee), Center for Clinical and Genetic Economics, Duke Clinical Research Institute (Mss Tzeng and Shea and Drs Curtis and Schulman), and Departments of Ophthalmology (Drs Bearelly, Mruthyunjaya, Suñer, and P. P. Lee) and Medicine (Drs Curtis and Schulman), Duke University School of Medicine, Durham, North Carolina; and Global Health Outcomes Research, Allergan, Inc, Irvine, California (Drs J. T. Lee and Kowalski).







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