Emergency Department Child Abuse Evaluations During COVID-19: A Multicenter Study

Epidemiology of interpersonal violence among Mexican children and adolescents: a national analysis of injury data from public hospitals from 2015 to 2022

INTRODUCTION

Interpersonal violence (IPV) among children and adolescents represents a significant global public health problem. While Mexico has recorded an increase in IPV, its distribution and management remain understudied. We aim to investigate the epidemiology of IPV cases among children and adolescents in Mexico.

METHODS

This retrospective registry-based analysis used a nationwide injury dataset (Lesiones) from the Mexican Ministry of Health. We included medical records of IPV victims aged 0 to 17 years who presented at public health facilities in Mexico from 2015 to 2022. We used stratified descriptive statistics to summarize the distribution, management, and outcomes of IPV. Categorical variables were compared between male and female victims, as well as across age categories, using chi-square tests. Additionally, we generated a heatmap to visually represent the average IPV cases per 100,000 children and adolescents across Mexican states.

RESULTS

Among 116,287 IPV victims, 36,385 (31.3%) were male and 79,902 (68.7%) female. The majority were aged 15-17 years (n = 62,616; 53.8%), followed by those aged 10-14 years (n = 34,234; 29.4%), 5-9 years (n = 12,219; 10.5%), and under 5 years (n = 7,218; 6.2%). Most had a secondary education (n = 32,509; 28.0%), and literacy levels were high, with 86,858 (74.7%) reported as literate. Among female victims, 11,207 (14.0%) were pregnant at the time of the IPV incident. Among all victims, physical abuse (n = 39,155; 33.7%) was the most common form of violence, followed by mental abuse (n = 38,759; 33.3%) and sexual abuse (n = 38,373; 33.0%). Among males, 73.5% (n = 26,743) were affected by physical abuse, whereas among females, 44.4% (n = 38,373) experienced sexual abuse. Family violence accounted for 57.1% (n = 66,407) of all medical records. The states with the highest average IPV cases per 100,000 children and adolescents were Guanajuato (83.8) and Chihuahua (80.0). Most aggressors were male (n = 76,909; 66.1%).

CONCLUSION

This study analyzed IPV cases among children and adolescents in Mexico. Findings highlight the need for multi-faceted, age- and gender-specific interventions. Strengthening laws and policies, with a focus on reporting, enforcement, and mandatory training, is essential to protect children and adolescents from IPV.

Trends in hospital encounters for child physical abuse through the COVID-19 pandemic

Child physical abuse did not increase early in the coronavirus disease 2019 (COVID-19) pandemic as anticipated. However, abuse epidemiology has not been evaluated during later periods of the pandemic. This study's objective was to compare the volume of hospital encounters (i.e., emergency department visits and hospitalizations) for abuse and injuries concerning for abuse at 42 US children's hospitals across three pandemic periods compared with prepandemic, during January 1, 2018 through June 30, 2023. Median monthly volumes of encounters as well as child- and encounter-level characteristics for each pandemic period were compared with pre-pandemic. Hospital encounters for abuse and injuries concerning for abuse remained relatively unchanged throughout the pandemic, including during the late-pandemic period when many pandemic-related economic and relief policies had been discontinued. Hispanic children, however, accounted for an increasing proportion of cases throughout the pandemic, indicating potential emerging demographic changes in child abuse epidemiology.

COVID-19's causal impact on child abuse and socioeconomic status: a Bayesian time series study

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.

Explanatory capacity of measures of community context for paediatric injury hospitalisations in the USA

OBJECTIVE

Community context influences children's risk for injury. We aimed to measure the explanatory capacity of two ZIP code-level measures-the Child Opportunity Index V.3.0 (COI) and median household income (MHHI)-for rates of paediatric injury hospitalisations.

METHODS

This was a retrospective cross-sectional population-based study of children living in 19 US states in 2017. We examined injury hospitalisation rates for three categories: physical abuse among children <5 years, injuries suspicious for abuse among infants <12 months and unintentional injuries among children <18 years. Hospitalisation counts were obtained from the Healthcare Cost and Utilization Project and population data from the US Census. The COI is a multidimensional measure of communities' education, health and environment and social and economic characteristics. We used pseudo R2 values from Poisson regression models to describe the per cent of variance in rates of each injury category explained by the COI and MHHI.

RESULTS

The COI explained 75.4% of the variability in rates of physical abuse, representing a 13.5% improvement over MHHI. The COI explained 58.5% of the variability in injuries suspicious for abuse, a 20.7% improvement over MHHI. The COI and MHHI explained 85.7% and 85.8% of the variability in unintentional injuries, respectively; results differed when unintentional injuries were stratified by mechanism and age.

IMPLICATIONS

The COI had superior explanatory capacity for physical abuse and injuries suspicious for abuse compared with MHHI and was similar for unintentional injury hospitalisations. COI represents a means of accounting for community advantage in paediatric injury data, research and prevention.

Routine Emergency Department Screening to Decrease Subsequent Physical Abuse

STUDY OBJECTIVE

Emergency department (ED) screening for child physical abuse has been widely implemented, with uncertain effects on child abuse identification. Our goal was to determine the effect of screening on referrals to child protective services (CPS) identifying abuse.

METHODS

We performed a retrospective cohort study of children younger than 6 years old with an ED encounter at 1 of 2 large health care systems, one of which implemented routine child abuse screening. The main outcome was initial (<2 days) or subsequent (3 to 180 days) referral to CPS identifying child abuse using linked records. We compared outcomes for the 2-year period after screening was implemented to the preperiod and nonscreening EDs using generalized estimating equations to adjust for sex, age, race/ethnicity, payor and prior ED encounters and clustered by center.

RESULTS

Of the 331,120 ED encounters, 41,589 (12.6%) occurred at screening EDs during the screening period. Screening was completed in 34,272 (82%) and was positive in 188 (0.45%). Overall, 7,623 encounters (2.3%) had a subsequent referral, of which 589 (0.2%) identified moderate or severe abuse. ED screening did not change initial (adjusted odds ratio [aOR]=1.01, 95% confidence interval [CI] 0.89 to 1.15) or subsequent referral to CPS when compared to the prescreening period (aOR=1.05, 95% CI 0.9 to 1.18) or to the nonscreening EDs (aOR=1.06, 95% CI 0.92 to 1.21).

CONCLUSION

Routine screening did not affect initial or subsequent referrals to CPS.

Pediatric Homicides: Not Just a Teenage Problem

INTRODUCTION

Homicide is a leading cause of death for American children. We hypothesized demographics and homicide circumstances would differ by victim age.

METHODS

We performed a retrospective analysis of the 2003-2020 National Violent Death Reporting System. The National Violent Death Reporting System collects data from nearly all 50 states, the District of Columbia, and Puerto Rico. Demographics (age, sex, race, and ethnicity), homicide year, and weapon type were abstracted. Inclusion criteria were pediatric victims (age < 18). Two groups: 0-4 y old (young cohort [YC]) and 13-17 y old (teen cohort [TC]) were compared. Chi-squared tests, p-test, and t-tests with significance P < 0.05 were used to determine the association between victim demographics, cohort, and homicide mechanism.

RESULTS

10,569 pediatric (male: 70.2% [n = 7424], median age: 12 y old [interquartile range 1-16], black: 52.7% [n = 5573]) homicides met inclusion. Homicides demonstrated a bimodal age distribution (YC: 40.9% [n = 4320] versus TC: 48.9% [n = 5164]). Gender and race were both associated with homicide victimhood (P < 0.001). TC homicides were more likely to be male (YC: 57.8% [n = 2496] versus TC: 83.7% [n = 4320], P < 0.001) and black (YC: 40.1% [n = 1730] versus TC: 65.0% [n = 3357], P < 0.001). Pediatric homicides increased from 2018 (n = 1049) to 2020 (n = 1597), with only TC demonstrating a significant increase (2018: n = 522 versus 2020: n = 971, P < 0.001). Homicide mechanism was significantly associated with age (Blunt: YC: 57.5% [n = 2484] versus TC: 2.9% [n = 148], P < 0.001; Penetrating: YC: 7.9% [n = 340] versus TC: 92.8% [n = 4794], P < 0.001).

CONCLUSIONS

Pediatric homicides demonstrate distinct demographic characteristics and homicide mechanisms between two at risk age cohorts. Age-based education and intervention strategies may increase injury prevention programs' efficacy.

School Closure and Child Maltreatment During the COVID-19 Pandemic

It is not known how school closure affected child maltreatment. We conducted a retrospective cohort, linear mixed-models study of 133 counties (comprising 8,582,479 children) in Virginia between 2018 and 2021. Exposure was the opening of schools at least 2 days a week. Outcomes were referrals and incidence of child maltreatment reported to the Department of Social Services. In 2020-2021, there were descriptively more referrals (in-person: 50.9 per 10,000 [95% CI: 47.9, 54.0]; virtual: 45.8 per 10,000 [95% CI: 40.7, 50.9]) and incidence (in-person: 3.7 per 10,000 [95% CI: 3.3, 4.2]; virtual: 2.9 per 10,000 [95% CI: 2.3, 3.5]) of child maltreatment in counties with in-person schooling, though these differences did not reach statistical significance. The referral rate variations (between pandemic and pre-pandemic eras) of counties with in-person schooling was significantly greater than rate changes in counties with virtual schooling during the summer period. There were no differences in incidence in any quarter. Higher poverty within a county was associated with both higher referrals and incidence. Our findings suggest that child maltreatment is driven primarily by underlying differences in counties (namely, poverty) rather than the type of schooling children receive.

Predictors of Corporal Punishment during the COVID-19 Pandemic

Although current policies discourage the use of corporal punishment (CP), its use is still widespread in the US. The objective of this study was to assess the proportion of parents who used CP during the pandemic and identify related risk and protective factors. We analyzed results of a nationwide cross-sectional internet panel survey of 9000 US caregivers who responded in three waves from November 2020 to July 2021. One in six respondents reported having spanked their child in the past week. Spanking was associated with intimate partner violence and the use of multiple discipline strategies and not significantly associated with region or racial self-identification. Parents who spanked sought out more kinds of support, suggesting an opportunity to reduce spanking through more effective parenting resources. Additionally, these results suggest that parents who report using CP may be at risk for concurrent domestic violence.

Pilot study using machine learning to improve estimation of physical abuse prevalence

BACKGROUND

International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes have been shown to underestimate physical abuse prevalence. Machine learning models are capable of efficiently processing a wide variety of data and may provide better estimates of abuse.

OBJECTIVE

To achieve proof of concept applying machine learning to identify codes associated with abuse.

PARTICIPANTS AND SETTING

Children <5 years, presenting to the emergency department with an injury or abuse-specific ICD-10-CM code and evaluated by the child protection team (CPT) from 2016 to 2020 at a large Midwestern children's hospital.

METHODS

The Pediatric Health Information System (PHIS) and the CPT administrative databases were used to identify the study sample and injury and abuse-specific ICD-10-CM codes. Subjects were divided into abused and non-abused groups based on the CPT's evaluation. A LASSO logistic regression model was constructed using ICD-10-CM codes and patient age to identify children likely to be diagnosed by the CPT as abused. Performance was evaluated using repeated cross-validation (CV) and Reciever Operator Characteristic curve.

RESULTS

We identified 2028 patients evaluated by the CPT with 512 diagnosed as abused. Using diagnosis codes and patient age, our model was able to accurately identify patients with confirmed PA (mean CV AUC = 0.87). Performance was still weaker for patients without existing ICD codes for abuse (mean CV AUC = 0.81).

CONCLUSIONS

We built a model that employs injury ICD-10-CM codes and age to improve accuracy of distinguishing abusive from non-abusive injuries. This pilot modelling endeavor is a steppingstone towards improving population-level estimates of abuse.

COVID-19 and Caregiver Risk Factors for Child Maltreatment: The Pandemic in Review

The COVID-19 pandemic has fostered an environment for increased risk of child maltreatment (CM) as families experience increased psychosocial and financial burdens and spend unprecedented amounts of time together in the home. This narrative review aimed to summarize empirical findings on existing or new pandemic-related risk factors among caregivers. A combination of search terms related to CM and COVID-19 were used to identify articles published within five databases between February 2020 and July 2022. Literature searches produced 113 articles, of which 26 published across 12 countries met inclusion criteria. Four previously well-established risk factors for CM perpetration continued to persist during the pandemic, including stress, parental mental health, financial concerns, and parental substance use. Of note, inconsistent definitions and measures were used to capture these risk factors. Several additional emerging and understudied risk factors were also identified among limited articles, such as food insecurity and parental education. Findings emphasize the ongoing need for evidence-based interventions to address CM risk during the pandemic, including parent training programs. However, consolidated measures and consistent conceptualization of risk factors are needed to advance the study of CM. Going forward, practitioners and researchers should (a) strengthen the identification process for families at greatest risk for CM, and particularly those vulnerable to pandemic-related stressors; and (b) augment delivery of CM prevention strategies and evidence-based programs to fit the pandemic context.

Counts and child protection reports of diagnosed child maltreatment before and after the COVID-19 pandemic onset

BACKGROUND

Mechanisms for reporting child maltreatment (CM) were affected by changes in service provision immediately following the onset of the COVID-19 pandemic.

OBJECTIVE

To examine changes in counts and CPS reporting of CM medical encounters before and after the onset of COVID-19.

PARTICIPANTS AND SETTING

All emergency department and inpatient medical encounters with at least one CM diagnosis during the study period at Rady Children's Hospital San Diego, the largest pediatric hospital in California between 2016 and November 2021.

METHODS

Using linked medical record and CPS administrative data, interrupted time series models tested for changes in monthly counts and percentages of CM medical encounters reported to CPS with the onset of COVID-19. Logistic regression tested for the likelihood of a CPS report being associated with a CM encounter.

RESULTS

CM medical encounters totaled 2528, including 793 after the onset of COVID-19. Interrupted time series models indicated with the onset of the pandemic, the counts of CM encounters increased 18 % (RR: 1.18, 95 % CI 1.03-1.34) and the percentages reported to CPS increased 10 % (RR: 1.10, 95 % CI: 1.05-1.17). CM encounters that occurred after the onset of the COVID-19 pandemic had increased odds of a CPS report (fully adjusted model: OR: 1.08; 95 % CI: 1.05-1.12).

CONCLUSIONS

This study found increases in monthly counts and a higher percentage of CM medical encounters with CPS reports after the pandemic onset.

Hospital Admissions for Abusive Head Trauma Before and During the COVID-19 Pandemic

Importance

Several studies have demonstrated a decrease in the occurrence of child abuse in the US since the start of the COVID-19 pandemic. This finding has generated concern for missed cases due to the initial lockdowns and lack of childcare resources. Determining the association of the pandemic on hospitalizations for severe forms of abuse is essential to focus preventive efforts.

Objective

To examine trends in abusive head trauma (AHT) before and during the COVID-19 pandemic.

Design, Setting, and Participants

Retrospective, multicenter, repeated cross-sectional study, conducted January 1, 2016, through April 30, 2022, with data from tertiary care children's hospitals and contributors to the Pediatric Health Information System. Data were obtained for 2380 hospitalizations of children younger than 5 years with International Classification of Diseases, Tenth Revision, Clinical Modification codes for both abuse and head trauma.

Main Outcomes and Measures

Monthly hospitalizations were analyzed using interrupted time-series analysis. Hospitalization severity (eg, intensive care unit stay) and clinical characteristics (subdural hemorrhages and retinal hemorrhages) were compared before and after the start of the pandemic.

Results

We identified 2380 hospitalizations due to AHT (median age, 140 [IQR, 75.0-325.5] days) from 45 hospitals. The mean (SD) monthly incidence of AHT was 34.3 (5.8) before the COVID-19 pandemic compared with 25.6 (4.2) during COVID-19 (a 25.4% decrease). When the pre-COVID-19 and during COVID-19 periods were compared, there were no significant differences in severity or clinical characteristics. On interrupted time-series analysis, there was a significant decrease in the number of monthly hospitalizations (-8.1; 95% CI, -12.41 to -3.72; P < .001) in the first month of the pandemic. In the subgroup of children younger than 1 year, there was a significant decrease in monthly hospitalizations at the onset of the pandemic (-8.2; 95% CI, -12.02 to -4.43; P < .001) followed by a significant temporal increase across the COVID-19 period (P = .01).

Conclusions and Relevance

The findings of this cross-sectional study suggest there was a significant decrease in monthly hospitalizations for AHT following the start of the pandemic in March 2020. Although there was no corresponding increase in hospitalization severity, the decrease during the pandemic may have been transient, as monthly hospitalizations for children younger than 1 year increased significantly over time during COVID-19, after the initial decrease.

The Impact of COVID-19 on Infant Maltreatment Emergency Department and Inpatient Medical Encounters

OBJECTIVE

To assess the counts of infant maltreatment-related medical encounters at a large medical system during a 21-month span of the COVID-19 pandemic.

METHODS

Retrospective data for this study came from all inpatient and emergency department medical encounters for infants from January 1, 2016, through November 30, 2021, at a single children's hospital system in California. Distributions of medical encounters were tabulated and plotted over time. Interrupted time series models were used to evaluate changes in child maltreatment medical encounters.

RESULTS

Medical encounters for infants with child maltreatment diagnoses increased following the onset of COVID-19. Monthly counts of encounters with indicated maltreatment trended upward following the start of the pandemic. Interrupted time series models showed that the count of maltreatment encounters increased 64% with the onset of COVID-19.

CONCLUSIONS

We found an increase in infant maltreatment medical encounters during a 21-month period following the onset of COVID-19. These findings suggest that the pandemic may have adversely affected the safety of infants and ongoing work is needed to understand better the pandemic impacts on child maltreatment.

Comparison of Trauma and Burn Evaluations in a Pediatric Emergency Department During Pre, Early and Late COVID-19 Pandemic

BACKGROUND

Pediatric trauma epidemiology altered during early COVID-19 pandemic period but the impact of the ongoing pandemic is unknown.

OBJECTIVES

To compare pediatric trauma epidemiology between the pre, early and late pandemic periods and to evaluate the association of race and ethnicity on injury severity during the pandemic.

METHODS

We performed a retrospective study of trauma consults for an injury/burn in children ≤16 years between January 1, 2019 and December 31, 2021. Study period was categorized into pre (January 1, 2019-February 28, 2020), early (March 1, 2020-December 31, 2020), and late (January 1, 2021-December 31, 2021) pandemic. Demographics, etiology, injury/burn severity, interventions and outcomes were noted.

RESULTS

A total of 4940 patients underwent trauma evaluation. Compared to pre-pandemic, trauma evaluations for injuries and burns increased during both the early (RR: 2.13, 95% CI: 1.6-2.82 and RR: 2.24, 95% CI: 1.39-3.63, respectively) and late pandemic periods (RR: 1.42, 95% CI: 1.09-1.86 and RR: 2.44, 95% CI: 1.55-3.83, respectively). Severe injuries, hospital admissions, operations and death were higher in the early pandemic but reverted to pre-pandemic levels during late pandemic. Non-Hispanic Blacks had an approximately 40% increase in mean ISS during both pandemic periods though they had lower odds of severe injury during both pandemic periods.

CONCLUSIONS

Trauma evaluations for injuries and burns increased during the pandemic periods. There was a significant association of race and ethnicity with injury severity which varied with pandemic periods.

LEVEL OF EVIDENCE

Retrospective comparative study, Level III.

Hospitalization for child maltreatment and other types of injury during the COVID-19 pandemic

BACKGROUND

The possibility that child maltreatment was misclassified as unintentional injury during the COVID-19 pandemic has not been evaluated.

OBJECTIVE

We assessed if child maltreatment hospitalizations changed during the pandemic, and if the change was accompanied by an increase in unintentional injuries.

PARTICIPANTS AND SETTING

This study included children aged 0-4 years who were admitted for maltreatment or unintentional injuries between April 2006 and March 2021 in hospitals of Quebec, Canada.

METHODS

We used interrupted time series regression to estimate the effect of the pandemic on hospitalization rates for maltreatment, compared with unintentional transport accidents, falls, and mechanical force injuries. We assessed if the change in maltreatment hospitalization was accompanied by an increase in specific types of unintentional injury.

RESULTS

Hospitalizations for child maltreatment decreased from 16.3 per 100,000 (95 % CI 9.1-23.4) the year before the pandemic to 13.2 per 100,000 (95 % CI 6.7-19.7) during the first lockdown. Hospitalizations for most types of unintentional injury also decreased, but injuries due to falls involving another person increased from 9.0 to 16.5 per 100,000. Hospitalization rates for maltreatment and unintentional injury remained low during the second lockdown, but mechanical force injuries involving another person increased from 3.8 to 8.1 per 100,000.

CONCLUSIONS

Hospitalizations for child maltreatment may have been misclassified as unintentional injuries involving another person during the pandemic. Children admitted for these types of unintentional injuries may benefit from closer assessment to rule out maltreatment.

The prevalences, changes, and related factors of child maltreatment during the COVID-19 pandemic: A systematic review

BACKGROUND

The impact of the COVID-19 pandemic has been extensive and drastic during the twenty-first century. The increasing phenomenon of child maltreatment during the pandemic is a significant public health concern.

OBJECTIVE

This study is the first systematic review to analyze and summarize the prevalence rates, risk factors, and protective factors related to child maltreatment during the COVID-19 pandemic.

METHODS

Four electronic databases (PubMed, Web of Science, Scopus, Embase) were systematically searched. Some potential studies were also identified from the reference lists of previously included articles. The quality of the included studies was assessed by the National Institutes of Health (NIH) Quality Assessment Tool and Critical Appraisal Skills Program (CASP) Quality Assessment Tool.

RESULTS

A total of 35 articles were included in the analysis, with 16 having prevalence information and 22 having factor information. Sixteen studies were conducted in the US, the other 17 studies were from 12 countries, and only two studies contained mixed countries. The prevalences of child maltreatment during the pandemic varied widely in different types and measurements. The pandemic rates of physical abuse, psychological abuse, neglect, and sexual abuse were 0.1 %-71.2 %, and 4.9 %-61.8 %, 7.3 %-40 % and 1.4 %-19.5 %, respectively. There was a decline in allegations of child maltreatment and an increase in severe cases of child maltreatment during the COVID-19 pandemic. Lockdown measures and their side effects were the main risk factors contributing to child maltreatment.

CONCLUSIONS

This review calls for targeted measures to prevent child maltreatment during the COVID-19 pandemic and current and future lockdowns and more future replication studies conducted in countries other than the US.