The role of prevention services in the county context of child maltreatment
Introduction
In federal fiscal year 2011, there were 3.4 million official allegations of child abuse and neglect involving more than 6 million children in the United States; 676,569 (11%) were substantiated victims of child maltreatment (United States Department of Health & Human Services, 2012). The Fourth National Incidence Study of Child Abuse and Neglect (NIS-4), seeks to estimate maltreatment more broadly by including both cases that were reported and those that were not through interviews with professionals who have contact with children and families. According to NIS-4, more than 1.25 million children were abused or neglected over the period of 2005–2006 (Sedlak et al., 2010). Children who experience maltreatment are at a greater risk for developing a host of negative outcomes, including aggression, developmental delays, disturbed peer relationships, low self-esteem, psychiatric disorders, aggressive and antisocial behaviors, and difficulties interacting successfully with others (Downey and Walker, 1989, Hoffman-Plotkin and Twentyman, 1984, Kaplan et al., 1999, Putnam, 2003, Tong et al., 1987, Watts-English et al., 2006, White et al., 1988, Wolfe, 1999). Recent research has also indicates that maltreatment is associated with changes to biological stress systems and can have neurological consequences, including delays in cognitive, language, and academic skills (Edmiston et al., 2011, McCrory et al., 2011, Shonkoff and Phillips, 2000, Watts-English et al., 2006, Wilson et al., 2011). Children who are abused and neglected are also more likely than non-maltreated children to experience problems that persist into adulthood, including: alcohol and other drug abuse (Peters, 1988), depression (Mullen, Romans-Clarkson, Walton, & Herbison, 1988), and criminal activity (Rivera & Widom, 1990). Given the many problems, it is essential that researchers learn more about the risk and protective factors associated with the onset of maltreatment as well as the effectiveness of different primary prevention programs to prevent maltreatment from occurring. Researchers must take this information and make it readily available to policy makers and practitioners so that those who have the power to make changes, both in terms of funding and on the ground, have the very best information at their fingertips.
Numerous individual maltreatment prevention programs have been evaluated to understand their effectiveness in reducing maltreatment. Programs such as Nurse Family Partnership (Olds, 2006), Chicago Child Parent Centers (Reynolds & Robertson, 2003), and Triple P Positive Parenting Program (Prinz, Sanders, Shapiro, Whitaker, & Lutzker, 2009), have been found to successfully reduce maltreatment. These studies are essential in order to advance the field of maltreatment prevention. However, we don't yet know the extent to which current prevention efforts, regardless of their evidence base, are effective in reducing maltreatment. This study takes an ecological approach to evaluate the effectiveness of prevention programs by measuring aspects of the current prevention program service array and their association with official individual-level maltreatment investigations.
Section snippets
Literature review
Over the past 50 years, researchers have extensively studied the correlates of child maltreatment. The very first studies focused on parental psychopathology as the sole predictor of maltreatment (Kempe, 1962, Steele and Pollack, 1968). Since that time, the research has advanced to include aspects of the child, parent, family unit, and community. Beginning in the 1970s, a handful of researchers began to discuss aspects of the community that they believed contributed to maltreatment (Belsky, 1980
Data
The data come from five sources: the 2010 U.S. Census and American Community Survey 2006–2010 and a Wisconsin-based project called the “prevention scan” provide the county-level data. County was chosen as the level-2 unit of analysis for a number of reasons: (1) to test whether social disorganizational theory applies at the county level; (2) because prevention programs are often funded through county revenue streams; and (3) because the prevention scan data were collected at that level.
Sample
From the Family Support Study sample of 1086 families receiving WIC benefits in 39 Wisconsin counties, I limited the sample to 1048 families in 39 counties with complete survey information.
Dependent variables
A dummy variable (1 = at least one, 0 = none) indicating the presence of at least one child maltreatment investigation over the 18-month time period directly following the survey period of January 1, 2011 through June 30, 2012 is the key dependent variable of interest for this study. Child maltreatment referrals not subject to an investigation were unavailable in the data, and the number of child maltreatment substantiations within the sample over this time period was too small to be reliably used
Factor Analysis
Prior to analyzing these data using multi-level modeling (MLM; Bryk & Raudenbush, 2002), a factor analysis was conducted on the county-level predictors, to reduce the number of level 2 variables. This process was necessary because MLM techniques have limits on the number of level 2 measures relative to the number of level 2 units. A screeplot was used to determine the number of unique factors within the data, which resulted in three factors. The variables were then entered into an iterated
Descriptive statistics
Table 4 provides detailed descriptive information by county on the mean and standard deviation of the individual-level variables and county rates for all county-level variables. The first panel of columns in Table 4 contains the individual-level variables. The sample size by county ranged from 1 to 210 individuals, with an average of approximately 27 individuals per county. The overall number of individuals in the sample was 1048 in 39 Wisconsin counties. As expected, having an investigated
Contributions of the current study
The current study sought to replicate the work of a previous body of work using MLM to understand whether associations seen between neighborhood factors and child maltreatment held at the county level, and then to determine whether, above and beyond the county-level and individual-level factors, maltreatment prevention programs played a role in the rate of individual-level maltreatment.
Previous research found that neighborhood-level (i.e., census tracts and block groups) socioeconomic
Acknowledgments
The author gratefully acknowledges the support of the Doris Duke Fellowship for the Promotion of Child Well-Being: Seeking Innovations to Prevent Child Abuse and Neglect and Chapin Hall at the University of Chicago and the National Quality Improvement Center on Early Childhood (QIC– EC). The QIC–EC is funded by the U.S. Department of Health and Human Services, Administration for Children, Youth and Families, Office on Child Abuse and Neglect, under Cooperative Agreement 90CA1763. The author
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2022, Child Abuse and NeglectCitation Excerpt :Two studies on the Positive Parenting Program (i.e., Triple P) in North Carolina found that county-level provisions of Triple P had protective impacts on county rates of CMRs, substantiated CMRs, foster care entries, hospitalizations, and emergency department visits for child maltreatment-related injuries (Prinz et al., 2009; Schilling et al., 2020). A multilevel study in Wisconsin found that county-level spending on child maltreatment prevention programs (e.g., family team meetings, wraparound programs, domestic violence, financial support, mental health, parenting education, referrals, respite care, substance use, support groups, youth services, and home visiting) was related to lowered individual-level CMR risks (Maguire-Jack, 2014b). A study on sampled parents in Franklin County, OH, identified lower risks of parent-reported neglect and physical abuse with increases in the availability and accessibility of community services, including domestic violence, mental health, substance use prevention, housing, basic needs, childcare, parenting, and medical services (Maguire-Jack & Negash, 2016).
Do county mental health, physical health, and care provider availability predict child maltreatment report rates?
2022, Child Abuse and NeglectPathways from neighborhood to neglect: The mediating effects of social support and parenting stress
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2016, Children and Youth Services ReviewCitation Excerpt :Results of these studies have indicated that increased availability of housing and adoption services were associated with decreased referrals for child abuse and foster care entry (Freisthler, 2013), lower rates of maltreatment referrals and substantiations were related to higher percentages of children attending preschool in local and adjacent neighborhoods (Klein, 2011), and increased geographic accessibility of substance abuse services within a neighborhood moderates the relationship between alcohol outlets and maltreatment referral rates (Morton, 2013). Through examining county-level data, one study has explored the relationship between social service availability and potential risk for child maltreatment (Maguire-Jack, 2014). A negative relationship was found such that an individual parent's risk for having child maltreatment substantiated decreased as county spending on maltreatment prevention programs increased (Maguire-Jack, 2014).
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