Clinical Epidemiology (Jun 2023)
Validation of an Algorithm to Identify Venous Thromboembolism in Health Insurance Claims Data Among Patients with Rheumatoid Arthritis
Abstract
Sangmi Kim,1 Carolyn Martin,2 John White,2 Maureen Carlyle,2 Bonnie Bui,2 Shiyao Gao,1 Claudia A Salinas1 1Global Patient Safety Pharmacoepidemiology, Eli Lilly and Company, Indianapolis, IN, USA; 2Health Economics and Outcomes Research, Optum Life Sciences, Eden Prairie, MN, USACorrespondence: Claudia A Salinas, Global Patient Safety Pharmacoepidemiology, Eli Lilly and Company, Lilly Corporate Center, 893 Delaware St, Indianapolis, IN, 46285, USA, Tel +1 317 433 9188, Email [email protected]: Health insurance claims databases provide an opportunity to study uncommon events, such as venous thromboembolism (VTE), in large patient populations. This study evaluated case definitions for identifying VTE among patients treated for rheumatoid arthritis (RA) using International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes in claims data.Patients and Methods: Study participants were insured adults who received treatment for and had a diagnosis of RA between 2016 and 2020. After a 6-month covariate assessment window, patients were observed for ≥ 1 month until health plan disenrollment, occurrence of a presumptive VTE, or end of the study (12/31/2020). Presumptive VTEs were identified using predefined algorithms based on ICD-10-CM diagnosis codes, anticoagulant use, and care setting. Medical charts were abstracted to confirm the VTE diagnosis. Performance of primary and secondary (less stringent) algorithms was assessed by calculating the positive predictive value (PPV; primary and secondary objectives). Additionally, a linked electronic health record (EHR) claims database and abstracted provider notes were used as a novel alternative source to validate claims-based outcome definitions (exploratory objective).Results: A total of 155 charts identified with the primary VTE algorithm were abstracted. The majority of patients were female (73.5%), with mean (standard deviation) age 66.4 (10.7) years and Medicare insurance (80.6%). Obesity (46.8%), ever smoking (55.8%), and prior evidence of VTE (28.4%) were commonly reported in medical charts. The PPV for the primary VTE algorithm was 75.5% (117/155; 95% confidence interval [CI], 68.7%, 82.3%). A less stringent secondary algorithm had a PPV of 52.6% (40/76; 95% CI, 41.4%, 63.9%). Using an alternative EHR-linked claims database, the primary VTE algorithm PPV was lower, potentially due to the unavailability of relevant records for validation.Conclusion: Administrative claims data can be used to identify VTE among patients with RA in observational studies.Keywords: algorithm validation, rheumatoid arthritis, venous thromboembolism, positive predictive value, administrative claims data, ICD-10-CM
