Francesco T. Mangano · Utility of the material community deprivation index as a metric to identify at-risk children for severe traumatic brain injury
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Article1 min read·Published Jan 2023Older

Utility of the material community deprivation index as a metric to identify at-risk children for severe traumatic brain injury

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Article · Jan 2023 · 1 min read

In brief

In brief

This retrospective study examines how socioeconomic deprivation, measured by the material community deprivation index, correlates with severity and outcomes in pediatric traumatic brain injury patients at a level I trauma center. The research aims to identify vulnerable populations at higher risk for severe TBI through census-based socioeconomic metrics.

Written by the GCMD Library team from the article.

Francesco T. Mangano

Objective: Pediatric traumatic brain injury (TBI) is a significant cause of morbidity and mortality with lasting effects including neurological deficits and psychological comorbidities. Recent studies have shown that social determinants of health are key factors that impact clinical outcomes in other pediatric traumatic injuries, suggesting that these health disparities may have a significant impact on patients sustaining TBI as well. The purpose of this study was to retrospectively review a cohort of pediatric patients diagnosed with TBI and elucidate the relationships among socioeconomic deprivation, patient-specific demographics, and morbidity and mortality. Methods: The authors conducted a retrospective cross-sectional analysis of pediatric patients (≤ 18 years of age) treated for TBI at a level I pediatric trauma center between 2016 and 2020. Patients with concussion-related injuries without intracranial findings and those with nonaccidental trauma were excluded from the study. In addition to evaluating basic patient demographics, the authors geocoded patient addresses to allow identification of the patient's home census tract using the material community deprivation index (MCDI). The MCDI is a unique composite index score created by the combination of six census variables and ranges from 0 to 1 in severity. Results: Of the 513 patients included in this study, 71 (13.8%) were diagnosed with severe TBI, 28 (5.5%) with moderate TBI, and 414 (80.7%) with mild TBI. Patients

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