Pediatric Hospital Medicine Fellow Le Bonheur/UTHSC Germantown, Tennessee, United States
Background: Racial and ethnic disparities have been widely documented in the literature pertaining to the evaluation and diagnosis of pediatric abusive head trauma (AHT).1,2 However, Rosenthal et al found that household income is the factor most strongly associated with all categories of child abuse.3 When controlling for socioeconomic status (SES), the rates of child abuse between white children and those of minoritized racial and ethnic groups becomes insignificant.3However, the cohort of children who have sustained head injuries and received any abuse-associated diagnoses (ARD) with stratification of median income by zip code has not been well-examined. Objective: The objective of this study is to demonstrate a correlation in the occurrence of any abuse-associated diagnoses (ARD) versusMedian Income by Zip Code Quintile& Child Opportunity Index (COI) when evaluating pediatric patients (Age 1-24 months) hospitalized with significant head injury. Design/Methods: Utilizing the Pediatric Health Information System (PHIS) database, a retrospective analysis was conducted of childrenadmitted with a traumatic head injury diagnosis.Included patients were those ages 1-24 months, admitted from January 1, 2018 – December 31, 2021 with a traumatic head injury diagnosis.Demographic characteristics were summarized by patient counts and percentages, stratified by the existence of any ARD. Chi-square testing was performed to identify statistical associations between patient characteristics and existence of any ARD. A significance level of 0.05 was used for all hypothesis testing.Associations were assessed using logistic regression and summarized by odds ratio and 95% confidence intervals. Results: In review of the PHIS database, 56% of children admitted/observed for traumatic head injuries were six months or less in age. The prevalence of ARD across all ages (1-24 months) was 30.4%. As demonstrated in Figure 1, there is high variation among pediatric hospitals in the percentage of abuse diagnoses. Patients with Government insurance had 2.91 (95% CI, 2.61-3.25) times higher odds of an abuse diagnosis than those with Commercial insurance. Higher median income by zip code quintile was associated with a lower prevalence of abuse diagnoses (5th Quintile vs. 1st Quintile Median Income-adjusted odds ratio of 0.63 [95% CI, 0.52-0.76]).
Conclusion(s): Pediatric patients with government insurance or from lower median income zip codes, presenting with traumatic head injuries, are more likely to receive a diagnosis of abuse. Further work is needed to determine whether this disproportion is due to socioeconomic disparity.