Risk and Protective Factors for Parental Involvement and Early Indicators of School Achievement in Alaska.

OBJECTIVES: Parental involvement can affect child school readiness, which in turn influences subsequent child learning outcomes. While social support, stress, caregiver psychological distress, and drinking could affect parental involvement, it is unknown whether and how these factors influence downstream child learning outcomes through parental involvement and child school readiness. This study tests those associations. METHODS: Using de-identified data provided by the Alaska Longitudinal Child Abuse and Neglect Linkage project (N = 683), we use Structural Equation Modeling to assess direct and indirect effects of paths embedded in the proposed model. RESULTS: This study found statistically significant indirect effects: (1) path linking stress faced by caregivers to child reading proficiency through caregiver psychological distress, parental involvement, and child school readiness, (2) path linking stress faced by caregivers to child reading proficiency through caregiver drinking, parental involvement, and child school readiness, and (3) path linking social support for caregivers to child reading proficiency through caregiver psychological distress, parental involvement, and child school readiness. Post-estimation showed that the sum of the magnitude of total effects of stress and the magnitude of total effects of support is significantly larger than either alone. CONCLUSIONS FOR PRACTICE: Findings suggest that reducing caregiver stress and offering social support could not only benefit caregivers but learning outcomes of their children as well. For child learning outcomes, simultaneously reducing stress and offering social support for caregivers, rather than just one of them alone, is suggested. These results are important for children, particularly for those raised by caregivers experiencing psychological distress or drinking issues.

Direct and Indirect Cost Savings From Sexually Transmitted Infection Testing, Treatment, and Counseling Among Foster Youth.

BACKGROUND: Sexually transmitted infection (STI) prevention programs can decrease the economic burden of STIs. Foster youth have higher rates of STIs compared with their peers; however, information on direct costs and indirect costs averted by STI testing, treatment, and counseling among foster youth is lacking. METHODS: This study used data from a comprehensive medical center for foster youth over a 3-year study period from July 2017 to June 2020. Direct and indirect costs averted by testing and treatment of chlamydia, gonorrhea, and syphilis, as well as HIV testing and counseling, were calculated based on formulas developed by the Centers for Disease Control and Prevention and adjusted for inflation. RESULTS: Among the 316 youth who received medical services during this time, 206 were sexually active and tested for STIs and/or HIV. Among 121 positive STI test results, 64.5% (n = 78) were positive for chlamydia, 30.6% (n = 37) were positive for gonorrhea, and 5.0% (n = 6) were positive for syphilis. Treatment was provided to all. Overall, $60,049.68 in direct medical costs and $73,956.36 in indirect costs were averted. CONCLUSIONS: Given the rates of STIs among this population and the economic benefit of STI treatment, it is imperative to continue to provide intensive and comprehensive, individualized sexual health care for foster youth. Traditional care management may miss the opportunity to prevent, identify, and treat STIs that comprehensive wraparound care can achieve. This study suggests that comprehensive wraparound care is a cost-effective way to identify, treat, and prevent STIs among foster youth.

Parameterizing Toxic Stress in Early Childhood: Maternal Depression, Maltreatment, and HPA-Axis Variation in a Pilot Intervention Study.

Adverse experiences superseding a child's capacity to sustain regulation of emotion and adaptive function are theorized to constitute "toxic stressors" when they induce a deleterious biological response within an individual. We ascertained presumptive parameters of toxic stress among 164 low-income infants and toddlers (ages 4-48 months) from 132 families enrolled in Early Head Start (EHS). We randomized a subset of these families into a pilot intervention arm of parenting education (the Incredible Years, TIY), which supplemented the EHS curriculum. Official report child abuse and neglect (CAN) and child behavior were serially ascertained over the course of the study. We observed relatively low associations among maternal depression, CAN, caregiver-child relationship quality, hair cortisol, and adverse child behavioral outcomes. Moreover, despite poverty and the high prevalence (51%) of CAN in this sample, the frequency of clinical-level internalizing and externalizing behavior among the children did not exceed that of the general population, by their parents' report. The pilot supplementation of EHS with TIY improved attendance in group meetings but did not significantly reduce adverse behavioral outcomes or CAN. This study revealed marked independence of standard indices of toxic stress (child maltreatment, maternal depression, caregiver emotional unavailability) which have been presumed to be risk factors for the development of psychopathology. That they were weakly inter-correlated, and only modestly predictive of child behavioral outcomes in this EHS sample, caution against presumptions about the toxicity of individual stressors, highlight the importance of ascertaining risk (and compensatory influences) comprehensively, suggest buffering effects of programs like EHS, and demonstrate the need for greater understanding of what parameterizes resilience in early childhood.

In what kinds of communities do people on the sex offender registry live? An analysis of ten states.

This is the first large scale community-level study describing the characteristics of communities where Registered Sex Offenders (RSO's) are more likely to live. This study presents RSO residence data from ten states, combined with census data. Zip code characteristics (e.g., income, race/ethnicity, percent of population under 18) were then used in bivariate analyses and negative binomial regression analyses to determine which community factors predicted RSO residency. Lower median household income predicted higher rates of RSO's in nine of the ten states. These effects were large, with the rate of RSO's dropping about two percentage points per $1000 in increased median household income. Other community characteristics were found to have smaller effects on a state by state basis.

Nurse home visitation with vulnerable families in rural areas: A qualitative case file review.

OBJECTIVE: Nurse home visiting may address challenges and resource disparities that threaten maternal and infant well-being in rural areas, but little is known about United States' program implementation. This qualitative study explored how family and community characteristics affected rural nurse home visiting. SAMPLE: The sample for content analysis included families beginning services in 2010-2011 living in the rural counties with the highest caseloads (433 families). DESIGN: Electronic nurse home visiting case files from three rural counties were analyzed using a content analysis approach. The partner agency provided input on key constructs of interest but independent coding was also done to capture additional themes. Quantitative county level data and comments from member checking informed interpretation. Member checking included individual nurses serving the selected counties (n = 3) and input from an agency level supervisory meeting for validation. RESULTS: Concerns of families served (e.g., mental health) may not be unique to rural areas, but challenges to accessing resources and constellation of needs were. Nurses adapted engagement and service strategies to meet these needs. CONCLUSION: Agencies serving rural areas should allocate resources and adapt training to support nurses based on unique community profiles. More research on rural nurse home visiting practice and outcomes is needed.

A Practical Framework for Considering the Use of Predictive Risk Modeling in Child Welfare.

Predictive risk modeling (PRM) is a new approach to data analysis that can be used to help identify risks of abuse and maltreatment among children. Several child welfare agencies have considered, piloted, or implemented PRM for this purpose. We discuss and analyze the application of PRM to child protection programs, elaborating on the various misgivings that arise from the application of predictive modeling to human behavior, and we present a framework to guide the application of PRM in child welfare systems. Our framework considers three core questions: (1) Is PRM more accurate than current practice? (2) Is PRM ethically equivalent or superior to current practice? and (3) Are necessary evaluative and implementation procedures established prior to, during, and following introduction of the PRM?

Service Engagement and Retention: Lessons from the Early Childhood Connections Program.

The high attrition rates found in studies of early childhood home visitation create barriers to measuring the effectiveness of such programs. Most studies examine attrition at program completion. This practice may mask important differences in characteristics between families that end participation at various time points. This study helps address this gap by examining factors associated with percent attrition for early drop out (before three months) compared to the program midpoint (nine months or more) and program completion (18 months) using data from the treatment arm of a small feasibility study of enhanced referral to home visitation among child welfare-involved families (n = 64). Caregivers who identified as White tended to leave by the program midpoint and caregivers who had better social support were more likely to stay at the end of the program. This study is the only published study to date of participation in a community-based home visitation program by child welfare-involved families but several trends identified were consistent with prior studies with other populations. Given the very small sample size, both statistically significant and near significant trends are discussed in the context of existing literature. The practical variation found has implications for continuing to build knowledge of attrition in early childhood home visitation.

Lifetime Prevalence of Investigating Child Maltreatment Among US Children.

OBJECTIVES: To estimate the lifetime prevalence of official investigations for child maltreatment among children in the United States. METHODS: We used the National Child Abuse and Neglect Data System Child Files (2003-2014) and Census data to develop synthetic cohort life tables to estimate the cumulative prevalence of reported childhood maltreatment. We extend previous work, which explored only confirmed rates of maltreatment, and we add new estimations of maltreatment by subtype, age, and ethnicity. RESULTS: We estimate that 37.4% of all children experience a child protective services investigation by age 18 years. Consistent with previous literature, we found a higher rate for African American children (53.0%) and the lowest rate for Asians/Pacific Islanders (10.2%). CONCLUSIONS: Child maltreatment investigations are more common than is generally recognized when viewed across the lifespan. Building on other recent work, our data suggest a critical need for increased preventative and treatment resources in the area of child maltreatment.

Childhood Maltreatment, Public Service System Contact, and Preventable Death in Young Adulthood.

Data from a longitudinal cohort study of low-income children reported for maltreatment matched to similarly poor nonreported children were used to examine intentional and unintentional injury deaths in young adulthood. The goal was to examine the unique contribution of maltreatment history and identify other potential systems for preventive efforts. Maltreatment reports were associated with increased risk of injury-related death per 6-month intervals (hazard ratio [HR] = 1.09, p < .05). Young adults with histories of both status offenses and delinquent offenses were at greater risk for later death (HR = 2.24, p < .05) as were those with histories of emergency room (ER) treatment for intentional injury prior to age 18 years (HR =3.95, p < .05). More than 50% of the deaths were firearm-related; nearly all firearm deaths occurred among Black youth. Implications for prevention within at-risk populations are discussed.

Addressing the Missing Part of Evidence-based Practice: The Importance of Respecting Clinical Judgment in the Process of Adopting a New Screening Tool for Postpartum Depression.

The aim of the present study was to examine the role of nurse's clinical judgment in the uptake of an evidence-based tool assessing postpartum depression, the Edinburgh Postpartum Depression Scale. Nurses in a home visitation program were being asked to regularly screen for postpartum depression. The screener was introduced as a new standard of practice for nurses. A qualitative investigation of the nurses' reactions in addition to an evidence-based screener was conducted. Prior to and during the implementation, several meetings were held with the nurses and the research team to discuss the nurses' experience with the tool. Nurses participated in semi-structured interviews and notes were reviewed to identify themes that may be useful in further understanding evidence-based practice in nurses' home visitation. It was found that the process of uptake included three phases: dissatisfaction with the utility of the tool; problem solving and integration of clinical judgment into a complementary instrument, and eventual reliance on the standardized tool. Respecting the nurses' field experience and clinical judgment was the key to the process of adoption of an evidence-based tool. The process uncovered here requires a larger scale study to see if this can be used across various settings and with differing screening mechanisms to increase comfort with the use of recommended non-health screening tools.

Family formation: A positive outcome for vulnerable young women?

While marriage and childbirth are generally considered positive adult outcomes, it is not clear that this holds true among low income young women. Beyond adolescent parenting, little empirical data exists on various types of family formation in this population. The aims of this study were twofold: (1) to understand predictors of type of family formation (e.g., none, childrearing, marriage, or both) among 4,385 young women with childhood histories of poverty and/or maltreatment; and (2) to explore whether family formation patterns were associated with negative adult behavioral and health outcomes. Results of the AIM 1 multinomial regression analysis of family formation indicated that the likelihood of childrearing with or without marriage increased with an increase in the number of adolescent risk behaviors after controlling for the maltreatment and/or poverty histories. Among women with maltreatment histories, early onset maltreatment was associated with childrearing or marriage compared to no family. Among previously maltreated women, predictors of family formation varied according to prior poverty history. AIM 2 Cox regression results indicated that having children with or without marriage was associated with a higher risk of negative outcomes after controlling for maltreatment and adolescent risk factors. Bivariate analyses suggested that most of the increased risk was associated with having at least two children. Findings underscore the importance of preventing adolescent risk behaviors among low income and maltreated girls as well as early and unplanned births among vulnerable young adult women.

Multiple Service System Involvement and Later Offending Behavior: Implications for Prevention and Early Intervention.

OBJECTIVES: We investigated patterns of childhood and adolescent experiences that correspond to later justice system entry, including persistence into adulthood, and explored whether timing of potential supports to the child or onset of family poverty, according to developmental periods and gender, would distinguish among latent classes. METHODS: We constructed a database containing records for 8587 youths from a Midwestern metropolitan region, born between 1982 and 1991, with outcomes. We used data from multiple publicly funded systems (child welfare, income maintenance, juvenile and criminal justice, mental health, Medicaid, vital statistics). We applied a latent class analysis and interpreted a 7-class model. RESULTS: Classes with higher rates of offending persisting into adulthood were characterized by involvement with multiple publicly funded systems in childhood and adolescence, with the exception of 1 less-urban, predominantly female class that had similarly high system involvement coupled with lower rates of offending. CONCLUSIONS: Poverty and maltreatment appear to play a critical role in offending trajectories. Identifying risk factors that cluster together may help program and intervention staff best target those most in need of more intensive intervention.

Comparing primiparous and multiparous mothers in a nurse home visiting prevention program.

BACKGROUND: An important yet overlooked feature of prominent prevention programs serving expectant mothers is the exclusion of women with children. This study examines mothers (n = 3,260) participating in a program without parity exclusion criteria, and compares demographic characteristics, risk status, service use, and child maltreatment outcomes. METHODS: A longitudinal, prospective study comparing primiparous (n = 1,890) and multiparous (n = 1,370) mothers participating in a nurse home visiting program. Patient groups are compared using bivariate and multivariate methods. RESULTS: Comparison by parity shows multiparous mothers had higher cumulative risk scores and individual risk factors related to maternal and child health, behavioral health, and violence exposure. Multiparous mothers were more likely to seek out services themselves and to initiate services later in the postnatal period. A significant trend exists among more children and greater caregiver stress, maternal depression, and child maltreatment. Multivariate models indicate infants of multiparous mothers have a higher risk (hazard ratio = 1.49) for later reports of child maltreatment. CONCLUSIONS: As compared with primiparous mothers, multiparous mothers were at higher risk but had similar levels of service use. Programs limited to primiparous mothers are missing a critical opportunity for prevention. Programs serving multiparous mothers should incorporate strategies to directly address caregiver stress and postpartum depression.

Females in the Juvenile Justice System: Who Are They and How Do They Fare?

Increasing numbers of female youth involved in the juvenile justice system highlight the need to examine this population. This study enumerates distinct profiles of risk and protection among juvenile court-involved females, examining young adult outcomes associated with these profiles. Administrative data on 700 participants were drawn from multiple service sectors in a Midwest metropolitan region. Latent class and Pearson chi-square analyses were used. Five unique classes were identified; these classes were associated with young adult outcomes. One class of impoverished African American females was most likely to experience problematic young adult outcomes but least likely to have received juvenile justice services. Findings highlight the heterogeneity in the female juvenile court population and discrepancies between service needs and service receipt.

The influence of childhood sexual abuse on adolescent outcomes: the roles of gender, poverty, and revictimization.

Research on child sexual abuse has focused on adult revictimization and outcomes. This article examines the rate of child maltreatment revictimization among male and female children reported to child protective services for child sexual abuse and whether revictimization impacts outcomes. Using longitudinal administrative data, Cox regressions were used to examine relationships between initial report of child sexual abuse, maltreatment revictimization, and adolescent outcomes among children from poor and nonpoor families. Despite no significant differences in child sexual abuse rates between poor and nonpoor families, poor child sexual abuse victims were significantly more likely to have re-reports for maltreatment. Children with multiple reports were more likely to have negative outcomes. Interventions for child sexual abuse survivors should focus on preventing maltreatment recurrence generally and not ignore needs of male victims.

Early Childhood Income Instability and Mental Health in Adolescence: Parenting Stress and Child Maltreatment as Mediators.

Ample research has examined how point-in-time or static measures of economic deprivation are associated with children's mental health outcomes. Less is known about the relationship between early childhood unstable income and mental health outcomes. Using the Future of Families and Child Wellbeing Study, this study examined (1) the latent patterns of early childhood economic well-being, predicted by income level and instability (i.e., direction and frequency of income change); (2) the association of income deprivation patterns with subsequent anxiety and depression symptoms, paying particular attention to the mediating roles of parenting stress and child maltreatment risk. The latent class analysis results suggested four distinct groups representing different combinations of income level and instability. Structural equation modeling results indicated indirect links between income deprivation patterns and mental health outcomes, through parenting stress and physical and psychological abuse. Findings indicated the importance of policies and programs promoting economic stability over the long run.

Childhood poverty and foster care placement: Implications for practice and policy.

BACKGROUND: About 6 % of US children enter foster care (FC) at some point before age 18. Children living in poverty enter more frequently than non-poor children. Still, it is less clear if specific dimensions of poverty place a child at risk of FC entry. OBJECTIVE: This study aids our understanding of the relationships between poverty and FC entry. PARTICIPANTS AND SETTING: Data were drawn from a large linked administrative data study following low-income and/or children with maltreatment reports at baseline and followed them through 2010 (n = 9382). METHODS: Separate analyses compared low-income children and children reported for maltreatment. Cox regression analyses were used to account for clustering at the tract level. Poverty was measured at birth, receipt of income maintenance (IM) during the study period, and census tract poverty at baseline. RESULTS: The results showed that within a low-income sample, both family poverty and community poverty measures were significant factors in predicting later FC entry. However, when analyses were run comparing children with maltreatment reports with and without baseline AFDC use, the various measures of poverty diminished in impact once the type of maltreatment and report dispositions were controlled. Furthermore, we found that children living in families with more spells on income maintenance were less likely to enter FC. CONCLUSIONS: Results indicate that specific dimensions of poverty during childhood are associated with later FC entry. The lowered risk associated with a number of spells suggests connections between time limits for income assistance and the risk of entering FC.

Leveraging machine learning for effective child maltreatment prevention: A case study of home visiting service assessments.

BACKGROUND: Early identification of children and families who may benefit from support is crucial for implementing strategies that can prevent the onset of child maltreatment. Predictive risk modeling (PRM) may offer valuable and efficient enhancements to existing risk assessment techniques. OBJECTIVE: To evaluate the PRM's effectiveness against the existing assessment tool in identifying children and families needing home visiting services. PARTICIPANTS AND SETTING: Children born in hospitals affiliated with the Bridges Maternal Child Health Network in Orange County, California, from 2011 to 2016 (N = 132,216). METHODS: We developed a PRM tool by integrating a machine learning algorithm with a linked dataset of birth records and child protection system (CPS) records. To align with the existing assessment tool (baseline model), we limited the predicting features to the information used by the existing tool. The need for home visiting services was measured by substantiated maltreatment allegation reported during the first three years of the child's life. RESULTS: Of the children born in Bridges Network hospitals between 2011 and 2016, 2.7 % experienced substantiated maltreatment allegations by the age of three. Within the top 30 % of children with high-risk scores, the PRM tool outperformed the baseline model, accurately identifying 75.3 %-84.1 % of all children who would experience maltreatment substantiation, surpassing the baseline model's performance of 46.2 %. CONCLUSIONS: Our study underscores the potential of PRM in enhancing the risk assessment tool used by a prevention program in a child welfare center in California. The findings provide valuable insights to practitioners interested in utilizing data for PRM development, highlighting the potential of machine learning algorithms to generate accurate predictions and inform targeted preventive services.

Does a child maltreatment report source predict differences in immediate and subsequent report outcomes?

BACKGROUND: Mandated reporting policies, a core response to the identification of child maltreatment, are widely debated. Currently, there are calls to abolish or scale back these policies to include only certain professionals. These calls warrant evaluation of whether there are any differences in child welfare outcomes based on report source. OBJECTIVE: To determine if the initial report source predicts immediate and long-term risk of re-referral, substantiation, and placement. PARTICIPANTS AND SETTING: We used yearly National Child Abuse and Neglect Data System (NCANDS) hotline report and placement data. Children (0-14y) with a first ever hotline report in 2012-2014 were followed for three years. The final sample included 2,101,397 children from 32 states. METHODS: We use descriptive and bivariate statistics to show initial report outcomes by reporter source type and logistic regression models to evaluate the effect of report source on immediate and subsequent report outcomes. RESULTS: Professional sources varied in levels of substantiation and placement, with law enforcement, medical, and social service sources showing much higher rates. Reports from professional sources have higher odds of initial report substantiation and foster care entry, and slightly lower odds of later re-report than nonprofessional sources. We found no differences between professional and nonprofessional sources in subsequent foster care entry. CONCLUSIONS: Reports from professional, nonprofessional, and unclassified sources have varying levels of risk in some of their short- and long-term outcomes. To the degree that child protective services embrace a long-term preventative role, reports by nonprofessional report sources may provide opportunities for prevention.

Life-course trajectories of children through the U. S foster care system.

OBJECTIVE: Foster care is surprisingly commonplace in the United States, with more than one in twenty children experiencing placement in their lifetimes. Due to the complexity of foster care (e.g. age at contact, length of stay), we still lack a clear idea of how children move through the child welfare system. We pose the question, "do distinct typologies of system trajectories exist that may be used to inform policy analyses?" METHODS: We used child maltreatment reports and foster care case records for all U.S. children born in FY2006 and placed in care between birth and age 15. Using sequence analysis, we classified child-level system trajectories into distinct clusters. Then, we employed multilevel multinomial regression to explore child and system characteristics associated with each. RESULTS: Three typologies were identified: 1) early-entry-exit, 2) school-age-entry, and 3) late-entry. Early-entry-exit cases typically entered and left foster care before turning three, were frequently adopted, and had little ongoing system contact. School-age-entry children typically entered between ages 5-10, were in care for the shortest amount of time, and mostly exited to reunification. Late-entry children typically entered between ages 9-11, entered with substantial CPS history and remained in care into mid-adolescence. CONCLUSIONS: Our findings provide the first description of foster care trajectories in the US. Both practice and policy formulation can benefit from these empirically supported descriptions. Using such trajectory typologies, researchers can now explore how trajectories may predict wellbeing outcomes. We discuss how the differences among the typologies may inform identification of service needs and outcomes.