A Wider Perspective on Data Validation: A Multiregion Collaboration.

Abstract

Data validation is important in maintaining the high-quality data necessary for trauma programs and research. Most existing guidance focuses on trauma center-level data validation, but validation from a broader level (region, state) may also be a helpful tool. The purpose of this project is to improve data collection and submission at the local, regional, and state levels by performing logic-based data validation. Logic edits were identified and accuracy rates were tracked quarterly, as measures were taken to improve accuracy. Following completion of Phase 1 of validation, Phase 2 was initiated to include both new fields and fields from Phase 1 that did not meet the accuracy goal. Data from Phase 2 were then compared with data from the state trauma registry. In both Phase 1 and Phase 2, five of the seven data fields validated reached 90% accuracy by the end of the respective project phase. The project facilitated registrar education and pursuit of data collection solutions in registry software. Systemic issues were identified at a higher level that had not been noticed at the trauma center level. Robust data validation is critical for an accurate trauma registry. Engaging higher-level organizations, like trauma regions, provides new perspective in data validation. This regional data validation approach provided additional value beyond usual center-level data validation.