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COVID-19's causal impact on child abuse and socioeconomic status: a Bayesian time series study
Foad Kazemi1, Jiaqi Liu2, Isam W Nasr3
1Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA. fkazemi1@jh.edu.
Insights
The COVID-19 pandemic saw a significant rise in child abuse and traumatic brain injury (TBI) admissions. This increase correlated with worsening socioeconomic conditions, highlighting the need for targeted interventions.
Area of Science:
- Public Health
- Pediatric Trauma
- Epidemiology
Background:
- The COVID-19 pandemic exacerbated psychosocial stressors, potentially increasing child abuse rates.
- Understanding the pandemic's impact on child abuse and TBI is crucial for public health.
- Previous research indicates a link between socioeconomic factors and child maltreatment.
Purpose of the Study:
- To compare child abuse and TBI admission trends before and after the COVID-19 pandemic.
- To assess the pandemic's causal impact on child abuse/TBI admissions and socioeconomic status.
- To analyze changes in injury severity and neighborhood disadvantage during the pandemic.
Main Methods:
- A 7-year retrospective study at a Level-1 Pediatric Trauma Center.
- Utilized ICD-10 codes for TBI identification and the Social Deprivation Index (SDI) for neighborhood disadvantage.
- Employed Bayesian structural time series (BSTS) modeling to determine the pandemic's causal effect.
Main Results:
- Child abuse admissions increased by 48.9% and TBI admissions by 50.8% during the pandemic.
- A significant causal impact of COVID-19 was found on monthly child abuse and TBI admissions.
- Neighborhood disadvantage (SDI) showed an upward trend, while injury severity (ISS) decreased during the pandemic.
Conclusions:
- The COVID-19 pandemic is associated with a significant rise in child abuse and TBI admissions.
- Worsening socioeconomic conditions, indicated by increased SDI, accompanied the rise in child abuse cases.
- Findings underscore the need for proactive interventions and ongoing surveillance to protect children.
Background:
The COVID-19 pandemic intensified psychosocial stressors, potentially contributing to increased rates of child abuse. This study aimed to compare trends in child abuse/traumatic brain injury (TBI) admissions and socioeconomic status before and after the pandemic.
Methods:
A 7-year retrospective study was conducted at a Level-1 Pediatric Trauma Center. TBI cases were identified using ICD-10 codes based on the modified CDC framework. Neighborhood disadvantage and injury severity were measured using the Social Deprivation Index (SDI) and Injury Severity Score (ISS), respectively, with higher scores indicating greater disadvantage and severity. A Bayesian structural time series (BSTS) model was employed to assess the causal impact of COVID-19 on monthly child abuse/TBI admissions, SDI, and ISS.
Results:
The study included 560 child abuse cases, with 62.3% involving TBI. Before COVID-19, monthly admissions averaged 5.89 for child abuse and 3.70 for child abuse with TBI, with corresponding SDI scores of 60.07 and 57.60. During the COVID era, monthly averages rose to 8.77 and 5.58 (p = 0.001, p < 0.001), and SDI scores increased to 66.32 and 61.60 (p = 0.053, p = 0.370). BSTS analysis inferred a causal impact of COVID-19 on monthly child abuse admissions (p = 0.001), monthly child abuse admissions sustaining TBI (p = 0.001), an upward trend in average monthly SDI scores (p = 0.033), and a decrease in average monthly ISS (p = 0.001).
Conclusions:
The study indicates a significant increase in child abuse/TBI admissions and heightened neighborhood disadvantage during the COVID-19 pandemic.
Impact:
This study uses Bayesian structural time series analysis to assess the COVID-19 pandemic's causal impact on child abuse and traumatic brain injury (TBI) admissions. The pandemic is linked to increased child abuse admissions and TBI cases, correlating with worsening socioeconomic conditions indicated by higher Social Deprivation Index scores. Admissions did not rise significantly during the early pandemic (first 3 months, p = 0.160), but mid-to-late phases showed a significant increase (p = 0.001). Injury severity, as measured by Injury Severity Score, declined, suggesting less severe injuries during the pandemic. These findings emphasize the need for proactive interventions and continuous surveillance to protect vulnerable populations.
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