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Updated: Sep 24, 2025

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Published on: August 15, 2019
A Wider Perspective on Data Validation: A Multiregion Collaboration
Olivia C Houck1, Kelly Harrison, Roxanna Giambri
1Northern Ohio Trauma System, Cleveland, OH (Ms Houck); Tristate Trauma Coalition, Cincinnati, OH (Ms Harrison); Central Ohio Trauma System, Columbus, OH (Mss Giambri and Graymire); Northeastern Ohio Regional Trauma Network, Akron, OH (Ms Moore); Southwest Ohio Regional Trauma System, Dayton, OH (Ms Burt); and Northwest Ohio Regional Trauma Registry, Toledo, OH (Ms Cookman).
Background:
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.
Objective:
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.
Methods:
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.
Results:
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.
Discussion:
Robust data validation is critical for an accurate trauma registry. Engaging higher-level organizations, like trauma regions, provides new perspective in data validation.
Conclusion:
This regional data validation approach provided additional value beyond usual center-level data validation.
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