Development of a Core Critical Care Data Dictionary With Common Data Elements to Characterize Critical Illness and Injuries Using a Modified Delphi Method
Authors' conclusion
The resulting C2D2 provides a foundation to facilitate rapid collection, analyses, and dissemination of information necessary for research, quality improvement, and clinical practice to optimize critical care outcomes.
Study context
- Population
- Multidisciplinary workgroup of clinicians and researchers with expertise in the care of the critically ill and injuredDelphi panel
- Participants
- 23 participants
- Outcome
- Final dataset
Methodological detailsmultidisciplinary panel, electronic surveys and in-person meetings, Domain and CDE portions, each with two item generation rounds and one item reduction/refinement round; two in-person meetings
- Multidisciplinary panel
- Electronic surveys and in-person meetings
- Domain and CDE portions, each with two item generation rounds and one item reduction/refinement round; two in-person meetings
Recommendations
As reported in the abstract
- Candidate variables provided to the panel
- 1833
- Patient-level common data elements (CDEs) in final dataset
- 226
- Domains
- nine
- Anthropometrics and demographics
- 8
- Chronic comorbid illnesses
- 18
- Advanced directives
- 1
- ICU diagnoses
- 61
- Diagnostic tests
- 42
- Interventions
- 27
- Medications
- 38
- Objective assessments
- 26
- Hospital course and outcomes
- 5
- Panel endorsing the CDEs as a minimum viable data dictionary
- 91%
Parts of this Brief are withheld: the automatic checks could not confirm them against the abstract.
Original publication
Development of a Core Critical Care Data Dictionary With Common Data Elements to Characterize Critical Illness and Injuries Using a Modified Delphi Method. Crit Care Med. Published 21 February 2025. doi:10.
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