Variations in Electronic Health Record-Based Definitions of Diabetic Retinopathy Cohorts A Literature Review and Quantitative Analysis

被引:1
作者
Chen, Jimmy S. [1 ,2 ,3 ]
Copado, Ivan A. [1 ,2 ,3 ]
Vallejos, Cecilia [1 ,2 ,3 ]
Kalaw, Fritz Gerald P. [1 ,2 ,3 ]
Soe, Priyanka [1 ,2 ,3 ]
Cai, Cindy X. [4 ]
Toy, Brian C. [5 ]
Borkar, Durga [6 ]
Sun, Catherine Q. [7 ]
Shantha, Jessica G. [7 ,8 ]
Baxter, Sally L. [1 ,2 ,3 ,9 ,10 ]
机构
[1] Univ Calif San Diego, Viterbi Family Dept Ophthalmol, Div Ophthalmol Informat & Data Sci, La Jolla, CA USA
[2] Univ Calif San Diego, Shiley Eye Inst, La Jolla, CA USA
[3] Univ Calif San Diego, UCSD Hlth Dept Biomed Informat, La Jolla, CA USA
[4] Johns Hopkins Sch Med, Wilmer Eye Inst, Baltimore, MD USA
[5] Univ Southern Calif, Roski Eye Inst, Keck Sch Med, Dept Ophthalmol, Los Angeles, CA USA
[6] Duke Univ, Duke Eye Ctr, Dept Ophthalmol, Durham, NC USA
[7] Univ Calif San Francisco, FI Proctor Fdn, San Francisco, CA USA
[8] Univ Calif San Francisco, Dept Ophthalmol, San Francisco, CA USA
[9] UCSD Hlth Dept Biomed Informat, Viterbi Family Dept Ophthalmol, Div Ophthalmol Informat & Data Sci, 9415 Campus Point Dr MC0946, La Jolla, CA 92093 USA
[10] UCSD Hlth Dept Biomed Informat, Shiley Eye Inst, 9415 Campus Point Dr MC0946, La Jolla, CA 92093 USA
来源
OPHTHALMOLOGY SCIENCE | 2024年 / 4卷 / 04期
关键词
Big data; Data standardization; Diabetic retinopathy; Electronic health records Informatics; MACULAR EDEMA; RISK-FACTORS; BILLING CODES; VALIDATION; OPHTHALMOLOGY; DISPARITIES; ACCURACY; STANDARDIZATION; COMPLICATIONS; PROGRESSION;
D O I
10.1016/j.xops.2024.100468
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
Purpose: Use of the electronic health record (EHR) has motivated the need for data standardization. A gap in knowledge exists regarding variations in existing terminologies for defining diabetic retinopathy (DR) cohorts. This study aimed to review the literature and analyze variations regarding codified definitions of DR. Design: Literature review and quantitative analysis. Methods: Four graders reviewed PubMed and Google Scholar for peer-reviewed studies. Studies were included if they used codified definitions of DR (e.g., billing codes). Data elements such as author names, publication year, purpose, data set type, and DR definitions were manually extracted. Each study was reviewed by >= 2 authors to validate inclusion eligibility. Quantitative analyses of the codified definitions were then performed to characterize the variation between DR cohort definitions. Main Outcome Measures: Number of studies included and numeric counts of billing codes used to define codified cohorts. Results: In total, 43 studies met the inclusion criteria. Half of the included studies used datasets based on structured EHR data (i.e., data registries, institutional EHR review), and half used claims data. All but 1 of the studies used billing codes such as the International Classification of Diseases 9th or 10th edition (ICD-9 or ICD-10), either alone or in addition to another terminology for defining disease. Of the 27 included studies that used ICD-9 and the 20 studies that used ICD-10 codes, the most common codes used pertained to the full spectrum of DR severity. Diabetic retinopathy complications (e.g., vitreous hemorrhage) were also used to define some DR cohorts. Conclusions: Substantial variations exist among codified definitions for DR cohorts within retrospective studies. Variable definitions may limit generalizability and reproducibility of retrospective studies. More work is needed to standardize disease cohorts. Financial Disclosure(s): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article. Ophthalmology Science 2024;4:100468 (c) 2024 by the American Academy of Ophthalmology. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/
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页数:11
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