ArticleTrauma surgery & acute care open2026
Adopting common data elements (CDEs) for the National Trauma Research Repository (NTRR): the results of an epidemiology Delphi survey.
Article in Trauma surgery & acute care open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Building a unified trauma data repository: bridging military and civilian research to transform care.Trauma surgery & acute care open · 2026Article
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11 authors.
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Abstract
Introduction: To support the development of the National Trauma Research Repository (NTRR), a multidisciplinary workgroup used a consensus-driven approach to review established epidemiologic data elements and recommend basic common data elements (CDEs) for inclusion in the NTRR data dictionary. Methods: A 10-member workgroup of military and civilian trauma researchers and data scientists located and reviewed databases, codebooks, data collection forms, and published articles for data elements relevant to trauma epidemiology. Identified data elements were reviewed in a three-round Delphi survey, and monthly meetings with the workgroup were conducted. Consensus during the Delphi survey was analyzed with an 80% agreement threshold. Results: 13 sources were reviewed for epidemiology data elements. After the three survey rounds and workgroup discussions, 33 elements (80%) reached consensus for inclusion, 3 elements (7%) were excluded, and 5 elements (12%) did not reach consensus. Discussion: The Delphi process proved effective in achieving expert consensus on basic CDEs for trauma epidemiologic research. The resulting standardized basic CDEs will improve data harmonization and support consistent data collection in the NTRR. These CDEs represent an initial framework and serve as a foundational starting point for epidemiological data collection within the NTRR. As researchers use the NTRR, the list of CDEs will grow and evolve with the needs of the trauma research community. CDE standardization not only supports interoperable research but also enhances research quality, efficiency, and translation into clinical practice. Level of Evidence: Level VII.
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