Development of a Core Critical Care Data Dictionary With Common Data Elements to Characterize Critical Illness and Injuries Using a Modified Delphi Method

作者：David J. Murphy, Wesley R. Anderson, Smith H. Heavner, Tamara Al-Hakim, Raul Cruz‐Cano, Krzysztof Laudański, Rishikesan Kamaleswaran, Omar Badawi, Heidi J. Engel, Jocelyn R. Grunwell, Vitaly Herasevich, Ashish Khanna, Keith Lamb, Robert MacLaren, Teresa Rincon, L. Nelson Sanchez‐Pinto, Andrea Sikora, Robert D. Stevens, Donna Tanner, William Teeter, An-Kwok Ian Wong, James L. Wynn, Xiaohan Tanner Zhang, Jerry J. Zimmerman, Vishakha K. Kumar, J. Perren Cobb, Karin Reuter‐Rice · 发表于：Critical Care Medicine · 年份：2025 · DOI：10.1097/ccm.0000000000006595 · 被引用次数：16 · 研究领域：Sepsis Diagnosis and Treatment、Neonatal Respiratory Health Research、Healthcare Technology and Patient Monitoring

OBJECTIVES: To develop the first core Critical Care Data Dictionary (C2D2) with common data elements (CDEs) to characterize critical illness and injuries. DESIGN: Group consensus process using modified Delphi approach. SETTING: Electronic surveys and in-person meetings. SUBJECTS: A multidisciplinary workgroup of clinicians and researchers with expertise in the care of the critically ill and injured. INTERVENTIONS: The Delphi process was divided into domain and CDE portions with each composed of two item generation rounds and one item reduction/refinement rounds. Two in-person meetings augmented this process to facilitate review and consideration of the domains and by panel members. The final set of domains and CDEs was then reviewed by the group to meet the competing criteria of utility and feasibility, resulting in the core dataset. MEASUREMENTS AND MAIN RESULTS: The 23-member Delphi panel was provided 1833 candidate variables for potential dataset inclusion. The final dataset includes 226 patient-level CDCs in nine domains, which include anthropometrics and demographics (8), chronic comorbid illnesses (18), advanced directives (1), ICU diagnoses (61), diagnostic tests (42), interventions (27), medications (38), objective assessments (26), and hospital course and outcomes (5). Upon final review, 91% of the panel endorsed the CDCs as meeting criteria for a minimum viable data dictionary. Data elements cross the lifespan of neonate through adult patients. CONCLUSIONS: The resu...