Methods: Using surveillance data that is publicly available to county decision makers (American Community Survey, Robert Wood Johnson Foundation County Health Rankings, KIDS County, LINC, NCANDS), we use latent profile analysis to identify latent county profiles defined by the prevalence of risk and protective factors across the socio-ecological model as they relate to low, medium, and high levels of unsubstantiated child maltreatment reports.
Results: We report on the number of latent county profiles that are distinguished, which risk and protective factors may be most important for identifying to prevent child maltreatment, and associated limitations.
Conclusions: The latent profiles will be utilized in the creation of a system dynamics model that will simulate the comparative effectiveness of four child maltreatment prevention programs (Nurse Family Partnership, Triple P, Trauma-Focused CBT, and Parent Child Interaction Therapy) across each profile. Results will enable county decision makers to make decisions about which evidence based programs may be more aligned with their county context as defined by the relative prevalence of risk and protective factors across the socio-ecological model of child maltreatment in order to improve population health outcomes.