Abstract
Purpose: To evaluate the efficacy of the claims’-based definition of age-related macular degeneration (AMD) in detecting clinically-diagnosed AMD. Study design: A validation study using cross-sectional data. Methods: Seven hundred clinically-diagnosed AMD patients and seven hundred non-AMD individuals were randomly selected from patients at the Kyoto University Hospital’s ophthalmology outpatient clinic between January 2011 and December 2017. We evaluated the sensitivity, specificity, and positive/negative likelihood ratio of eight different claims’-based definitions of AMD for detecting clinically-diagnosed AMD. These definitions consist of the diagnosis name (AMD) in combination with (1) fluorescent fundus angiography, and/or (2) treatment of AMD, and (3) the exclusion of patients who had a diagnosis of central serous chorioretinopathy (CSC) or myopic choroidal neovascularization. Results: Defining by the diagnosis name AMD in the claims’ data showed the highest accuracy (sensitivity 94.9%, specificity 92.6%, accuracy 93.7%). Combining the diagnosis name AMD with fluorescence fundus angiography and/or anti-vascular endothelial growth factor (anti VEGF) treatment increased the specificity at the expense of sensitivity. Notably, the combination with AMD treatment achieved a specificity of 98.3%. Conclusion: The current validation study elucidated the high accuracy of the disease name (AMD) in the claims’ data for identifying clinically-diagnosed AMD at a single university hospital. Although drawing wider conclusions may be limited, the results of this study contribute to creating real-world evidence in ophthalmology, based on the National Database of Health Insurance Claims in Japan.
| Original language | English |
|---|---|
| Pages (from-to) | 388-394 |
| Number of pages | 7 |
| Journal | Japanese Journal of Ophthalmology |
| Volume | 65 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 05-2021 |
| Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Ophthalmology
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