129 Development and External Validation of the KIIDS-TBI Tool for Managing Children with Mild Traumatic Brain Injury and Intracranial Injuries

Abstract

Author Contributions: JKG conceived of the study, obtained grant funding, designed the study, conducted data acquisition, analyzed the data with YY, and wrote the initial draft of the paper. DDL conceived of the study, designed the study, helped obtain grant funding, supervised data collection protocols, guided the data analysis plan, interpreted the data, and provided overall study Accepted ArticleThis article is protected by copyright. All rights reserved supervision. NK and REF conceived of the study, designed the study, helped obtain grant funding, guided the data analysis plan, and provided study supervision. LA, CN, EJ, EB, SV, and CS designed the study, supervised data collection protocols, and conducted/directly supervised data acquisition.RA conducted data acquisition. MH, GJ, ATH, AB, and SB conducted data acquisition. YY analyzed the data with JKG. MO and CC helped design the study and analysis plan. CS and NRS contributed substantially to the interpretation of the data.

Usability and Acceptability of Clinical Decision Support Based on the KIIDS-TBI Tool for Children with Mild Traumatic Brain Injuries and Intracranial Injuries

“…The CDS content was based on the validated KIIDS-TBI prediction model. 13 The initial prototype design was based on feedback obtained from wireframe testing conducted with focus groups in a previous study. 18 That prior testing used wire-frame mockups (i.e., schematic layouts of possible designs/features)—rather than a full electronic prototype—to obtain feedback on recommended CDS layout and tool content (e.g., users recommended removing cost data).…”

“…Most recently, the Kids Intracranial Injury Decision Support tool for TBI (KIIDS-TBI) model was externally validated in a large, multicenter pediatric population. 13 In a population of children with mTBI and ICI, the KIIDS-TBI prediction model can serve as a tool that considers seven clinical/imaging findings (e.g., mental status and type of intracranial hematoma) to stratify risk of neurosurgery, prolonged intubation, or death from TBI. When tailored to each institution's practices and capabilities, these risk predictions can be used to guide level-of-care recommendations (e.g., the need for ICU admission).…”