Examining Child Maltreatment Reports Using Linked County-Level Data
Child Maltreatment Incidence Data Linkages (CMI Data Linkages)
Prepared for:
U.S. Department of Health and Human Services, Administration for Children and Families, Office of Planning, Research, and Evaluation
- In answering Research Question 1, the study found that multilevel models accounting for child poverty, demographics, and Medicaid expansion status, the social association rate retained a negative association with child maltreatment reports. When county rurality status was included in the model, however, the association was suppressed, pointing to an interaction effect.
- Post-hoc analysis to answer Research Questions 2 & 3 showed that the maltreatment report rate in rural, majority Black counties differed from the maltreatment report rate in rural, majority White counties at a statistically significant level. Compared with rural, majority White counties, rural counties with majority populations of color tended to have higher rates of child poverty but lower child maltreatment report rates. In addition, these counties did not have a positive relationship between child poverty and child maltreatment report rates, as seen in most counties and commonly found in previous studies.
This report presents an overview of the University of Alabama School of Social Work (UA-SSW) project, conducted as part of the Child Maltreatment Incidence Data Linkages (CMI Data Linkages) project. Previous research has focused on larger counties in the U.S. South, examining the association between (1) county-level child maltreatment risk and protective factors and (2) county-level child maltreatment reports and victimization rates. This project extended that work and addressed the previous study’s research questions nationally with all counties, which offers new insights about rural counties and reveals new regional or state patterns. The site team also worked to develop new ways to operationalize county-level child maltreatment risk.
How do you apply evidence?
Take our quick four-question survey to help us curate evidence and insights that serve you.
Take our survey