Examining Spatial Regimes of Child Maltreatment Allegations in a Social Vulnerability Framework

A Multilevel Analysis of Individual and Community Factors Associated With Case Dispositions Following Child Maltreatment Investigations

Understanding service disposition pathways is critical to provide deeper insight into why certain subgroups of the population are at risk for recurrent Child Protective Services (CPS) involvement and may highlight disparities across groups or geographic areas. Using the Decision-Making Ecology Framework as a lens, the present study examines whether service disposition pathways are influenced by risk assessment, safety concerns, child age, maltreatment type, previous CPS involvement, and/or county-level structural vulnerability. We linked administrative data from New Mexico's Department of Children, Youth and Families (DCYF) to data from the American Community Survey. Multilevel models examining associations between case (N = 12,960) and county (N = 33) characteristics revealed that both case (age, maltreatment type, risk/safety assessments, previous CPS involvement) and county-level factors (transportation and housing) were associated with service disposition. Additionally, we observed considerable variation at the county level in both the provision of services and the relationship between risk assessment and service provision. By linking different factors of the decision-making process in child welfare cases to intervention strategies, the analysis reveals that the perception of risk can vary based on geographical context resulting in different outcomes for families who have similar risks but different county-level vulnerabilities.

The Spatial Scale and Spread of Child Victimization

Previous research shows that large, densely populated urban areas have higher rates of child victimization that have persisted over time. However, few investigations have inquired about the processes that produce and sustain hot and cold spots of child victimization. As a result, the mechanisms that produce the observed spatial clustering of child victimization, and hence "why" harms against children tend to cluster in space, remains unknown. Does the likelihood of being a victim of violence in one location depend on a similar event happening in a nearby location within a specified timeframe? Rather, are child victims of violence more likely to reside in suboptimal neighborhood conditions? This paper aims to present an analytical and theoretical framework for distinguishing between these locational (point) processes to determine whether the empirical spatial patterns undergirding child victimization are more reflective of the "spread" via contagion (i.e., dependency) or whether they are produced by neighborhood structural inequality resulting from spatial heterogeneity. To detect spatial dependence, we applied the inhomogeneous K-function to Los Angeles Medical Examiner data on child homicide victim locations while controlling for regional differences in victimization events (i.e., heterogeneity). Our analysis found strong evidence of spatial clustering in child victimization at small spatial scales but inhibition at larger scales. We further found limited support for the spatiotemporal clustering of child victimization indicative of a contagion effect. Overall, our results support the role of neighborhood structural vulnerability in the underlying mechanisms producing patterns of child victimization across Los Angeles County. We conclude by discussing the policy implications for understanding this spatial patterning in geographical context and for developing effective and targeted preventive interventions.

Application of geospatial analysis in health research: A systematic review of methodological aspects of studies on violence against children and young people

BACKGROUND

Geographical variation exists in violence experienced by children and young people; however, there is limited research applying geospatial techniques to study this variation, and the methodological quality of this body of work is unclear.

OBJECTIVE

This study aimed to review the application of geospatial analysis in research on violence against children (VAC) and evaluate how essential methodological aspects are reported.

METHODS

Twelve databases were searched for studies on VAC using geospatial techniques. Two independent reviewers screened the papers for eligibility. Findings were narratively synthesised.

RESULTS

Sixty studies were included. Six studies estimated the prevalence of VAC and 54 investigated the associations between VAC and covariates. Most studies were conducted in the US (68 %), and the broad definition of 'child maltreatment' (53 %) was the most common form of violence explored. Most studies (83 %) used administrative data, whereas 23 % used an ecological study design to estimate the associations between risk factors and official reports of VAC. Frequentist modelling approaches were used in 54 % of the studies, and 47 % investigated VAC at census tract level. Model fit metrics were reported in 69 % of studies.

CONCLUSIONS

Current knowledge of the geographical distribution of VAC is severely limited because of the reliance on administrative data, which vastly underestimates the prevalence of VAC compared with self-reports and poor reporting of quality characteristics. There is a huge opportunity for applying geospatial methods in VAC research in diverse geographic contexts. Future research must adopt rigorous and standardised approaches to model fitting and validation and make better use of self-reported data.

Child abuse and neglect in Brussels during the COVID-19-lockdown

BACKGROUND

It is likely that the circumstances during the COVID-19-lockdown in Belgium increased the incidence and prevalence of child abuse and neglect (CAN) due to exacerbated risk factors and new COVID-19-related stressors. However, traditional reporters had less contact with children which could lead to undetected cases of CAN.

OBJECTIVE

Gain insight into the number and profile of CAN reports filed to the Brussels Confidential Center of Child Abuse and Neglect (CCCAN) during the COVID-19-lockdown.

PARTICIPANTS AND SETTING

A dataset comprising 536 CAN reports from periods before (N = 442) and during the lockdown (N = 94).

METHODS

Characteristics about the report, reporter, victim and his/her family, perpetrator(s) and the trajectory with the CCCAN were registered. The number and characteristics of reports during the lockdown were compared to those of reports before the lockdown.

RESULTS

The number of advisory questions (p = .506, d = .377) and allegations (p = .095, d = 1.206) remained unchanged. During the lockdown, the risk assessment of advisory questions was higher (p = .011, d = .280), they evolved more into social exigency investigations (p < .001, φ = .246) and were referred more often to judicial authorities (p = .010, φ = .163). Allegations were filed more often by the helpline, police and judicial authorities (p < .001, φ = .590) during the lockdown and involved more Dutch-speaking (p = .016, φ = .166) victims.

CONCLUSIONS

The number of CAN reports remained the same during the lockdown but their profile changed.

A spatiotemporal analysis of the impact of COVID-19 on child abuse and neglect in the city of Los Angeles, California

BACKGROUND

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2; COVID-19) has created an urgent need to identify child abuse and neglect (CAN) and efficiently allocate resources to improve the coordination of responses during a public health crisis.

OBJECTIVE

To provide unique insights into the spatial and temporal distribution of CAN in relation to COVID-19 outcomes and identify areas where CAN has increased or decreased during the pandemic.

PARTICIPANTS

Children under 18 years old reported to the Los Angeles Police Department for CAN.

SETTING

CAN incidents in the city of Los Angeles.

METHODS

Negative binomial regression was used to explore associations between the implementation of social distancing protocols and reported CAN during COVID-19. Spatiotemporal analysis identified locations of emerging hot and cold spots during the pandemic. Associations between neighborhood structural factors (e.g., school absenteeism, poverty, unemployment, housing insecurity and birth assets) and hot and cold spot patterns were explored.

RESULTS

There was a statistically significant decline in reports of CAN during the COVID-19 pandemic but no significant trends following the implementation of social distancing measures (e.g. safer at home orders, school closures). Compared to consecutive cold spots, severe housing burden, the number of assets children have at birth, poverty, school absenteeism and labor force participation were significantly associated with new and intensifying hotspots of CAN during the COVID-19 pandemic.

CONCLUSIONS

Our findings reinforce the utility of developing intervention strategies that minimize harm to children by targeting resources to specific challenges facing families enduring the COVID-19 experience.