Abstract
Introduction: Pragmatic randomized controlled trials (RCT) often use multiple data sources to examine clinical events, but the relative contribution of data sources (patient-reported, electronic health records (EHR), private/public claims data) to clinical endpoint rates is often not examined. Hypothesis: We hypothesized that claims data would contribute the highest number of events relative to other data sources. Methods: The ADAPTABLE study was an open-label, pragmatic RCT that demonstrated no significant difference in major cardiovascular or bleeding events among patients with CV disease randomized to an aspirin dose of 81vs. 325 mg/daily. We assessed the clinical endpoint rates and contribution of clinical endpoints by data source among patients who had EHR, public and private insurance claims data, and/or patient-reported (portal) data. Results: Of 15,076 patients randomized, there were 1,412 patients with EHR-only data; 8,756 with portal and EHR data; and 4,291 patients with portal, EHR, and claims data (Medicare or private). Patients with EHR-only data were younger (63.7 years) compared to the other groups (65.6-71.1 years); and were more likely Black (10.6%) vs. the other groups (6.3%-9.7%), p<0.001. The table demonstrates trial clinical event rates by data source among patients with available portal, EHR, and claims data. Among patients with available portal, EHR, and claims data, Medicare claims data contributed the most events for the composite endpoint (77.5%) and all-cause death (97.3%), while EHR data contributed the most events for MI (74.3%), stroke (74.3%), and major bleed (73.3%). Conclusions: In a large pragmatic trial, Medicare claims data contributed the most clinical events for the primary composite outcome and all-cause death, when compared with other available data sources. Further work is needed to understand the data source combinations that most effectively provide clinical endpoint data in RCTs.
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