The impact of glaucoma coding in a large claims database.

Leonard Levin // Publications // May 01 2007

PubMed ID: 17452173

Author(s): Lee PP, Levin LA, Walt JG, Chiang TH, Doyle JJ, Stern LS, Dolgitser M. The impact of glaucoma coding in a large claims database. Am J Ophthalmol. 2007 May;143(5):867-70. PMID 17452173

Journal: American Journal Of Ophthalmology, Volume 143, Issue 5, May 2007

PURPOSE Coding variation and its impact on identified populations is a major concern in database analyses. We assessed potential differences in demographics and healthcare charges among patients with open-angle glaucoma identified through different International Classification of Diseases, Ninth Revision (ICD-9) coding algorithms.

DESIGN Retrospective database analysis.

METHODS Three glaucoma cohorts were identified based on hierarchical inclusion of patients with >/=2 glaucoma ICD-9 codes (PharMetrics, Inc, Watertown, Massachusetts, USA, 1998 to 2003). Descriptive statistics and healthcare charges were assessed for each cohort.

RESULTS The three cohorts included 64,380, 14,705, and 4,225 unique patients each. Although significant differences in age, gender, region, payer type, product type, and medical comorbidities existed among the three cohorts, these differences had little impact on resource consumption when the cohorts were combined, given the smaller number of patients outside of the primary cohort.

CONCLUSIONS Glaucoma coding variation in administrative data sets has limited impact on analyses of resource consumption among open-angle glaucoma patients.