The role of prevention services in the county context of child maltreatment

https://doi.org/10.1016/j.childyouth.2014.05.004Get rights and content

Highlights

  • A series of 3 multi-level models are conducted.

  • The role of county prevention spending in individual maltreatment is examined.

  • County spending was associated with lower odds of individual level maltreatment.

  • Social disorganizational theory was not supported at the county level.

Abstract

A growing body of literature has investigated the effects of living in certain neighborhoods on child maltreatment. Relatively few (5) studies to date have utilized methods that adequately account for clustering within neighborhoods. None of these studies accounted for the availability of local child maltreatment prevention services — the very programs that were put in place to address the problem of maltreatment. This study investigates the role of the availability of child maltreatment prevention programs in individual-level risk for maltreatment. A multi-level analysis was conducted using county-level information on child maltreatment prevention program spending, census information on county characteristics, and individual-level data on individual risks for maltreatment and maltreatment behaviors. Results show that controlling for individual- and county-level risks for maltreatment, the amount a county spends on maltreatment prevention programs is associated with lower odds of maltreatment at the individual level.

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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