New methodology: Measuring racial or ethnic disparities in child welfare

Understanding the disparate treatment of African American children in the child welfare system requires consideration of the dynamics at a community level and the state level. Looking across a state allows one to target policies and practices to areas within the state that are most in need. This paper argues for a new method of assessing disparate treatment in child welfare that takes into consideration the racial or ethnic makeup of the community in conjunction with the racial or ethnic makeup across the state. This paper uses decision based enumeration which helps to pinpoint decisions where disparities are the greatest, and helps target decisions that most impact disparate treatment. This paper utilizes a methodology that is both accessible to state and county child welfare administrators and utilizes data that is readily available to child welfare policy makers and administrators. Using data from Illinois to illustrate this methodology, this paper highlights the regions within the state where limited resources may be targeted to address disproportionate representation and disparate treatment in Illinois' child welfare system.     

Measuring organizational health in child welfare agencies

In recent years, federal funds have been directed toward programs to improve the organizational health and functioning of public and tribal child welfare agencies. This study introduces a battery of instruments aimed at holistic measurement of organizational health factors in public, private, and tribal child welfare agencies. The Comprehensive Organizational Health Assessment (COHA) was designed as part of a federally funded grant to aid development of organizational interventions in child welfare settings. Assessment results are used diagnostically to identify strengths and challenges and to guide the development of targeted systems-change interventions and to track change over time. This study describes the iterative process of developing and testing the measurement tools, including results from exploratory and confirmatory factor analyses. The final, revised set of measures includes 20 scales and 3 indices measuring aspects of individual, work unit, and organizational functioning.     

Taking action on racial disproportionality in the child welfare system

Mirroring national trends, children of color in Washington state's King County are overrepresented at every point in the child welfare system and fare worse by most measures than are Caucasian children. The King County Coalition on Racial Disproportionality was formed to reduce and ultimately eliminate racial disproportionality in the county's child welfare system. The research-based strategies implemented to address the issue focused on children in care longer than two years. They included participation in the Breakthrough Series Collaborative on Racial Disproportionality, implementation of benchmark hearings, and development of Champions for Permanence. Now in the beginning stages, perhaps the most significant success is heightened awareness within the community of the disparate outcomes for children of color in the child welfare system.     

The racial geography of child welfare: toward a new research paradigm

This article examines the community-level impact of concentrated child welfare agency involvement in African American neighborhoods. Based on interviews of 25 African American women in a Chicago neighborhood, the study found that residents were aware of intense agency involvement in their neighborhood and identified profound effects on social relationships including interference with parental authority, damage to children's ability to form social relationships, and distrust among neighbors. The study also discovered a tension between respondents' identification of adverse consequences of concentrated state supervision for family and community relationships and neighborhood reliance on agency involvement for needed financial support. The author discusses the implications of these findings for a new research paradigm aimed at understanding the community-level effects of racial disproportionality.     

Delineating disproportionality and disparity of Asian-Canadian versus White-Canadian families in the child welfare system

ObjectiveThis paper builds upon the analyses presented in three companion papers using data from the 2003 and 2008 cycles of the Canadian Incidence Study of Reported Child Abuse and Neglect (CIS-2003 and CIS-2008) and the Ontario Child Abuse and Neglect Data System (OCANDS) to examine disproportionality and disparity of child welfare involvement for Asian-Canadian children involved in the child welfare system.MethodsThis study used CIS-2008 data adjusted by Census child population data to examine rates per 1000 and three disparity indexes (population-based disparity index [PDI], decision-based disparity index [DDI], and maltreatment-based disparity index [MDI]) to determine the representation of child maltreatment investigations for Asian-Canadian versus White-Canadian children involved in the child welfare system. Logistic regression analyses were conducted to determine the odds of case closure for substantiated child maltreatment investigations, and whether Asian ethnicity remained significant while controlling for child demographics and household composition, case characteristics, and clinical concerns.ResultsThis study found that Asian-Canadian children were underrepresented in the child welfare system compared to White-Canadian children (13.9 per 1000 Asian children in the Canadian population vs. 36.1 per 1000 White children in the Canadian population). Child welfare involvement for Asian-Canadian children are almost 2 times more likely to close after an investigation than White-Canadian children. The three disparity indexes (PDI, DDI, MDI) showed substantially different results with respect to the representation of child maltreatment investigations involving Asian-Canadian versus White-Canadian children for physical abuse, sexual abuse, neglect, emotional maltreatment, and exposure to domestic violence.ConclusionsDisproportionality and disparity are complex phenomena. The variation in results derived from different methods of calculating representation suggests the need for greater clarity and consistency in the definitions and methodology in examining racial disparity in child welfare research. Some methodological considerations for future child welfare research with Asian-Canadian populations were discussed.     

Neighborhood racial & ethnic diversity as a predictor of child welfare system involvement

Using U.S. Census and child maltreatment report data for 2052 Census tracts in Los Angeles County, California, this study uses spatial regression techniques to explore the relationship between neighborhood social disorganization and maltreatment referral rates for Black, Hispanic and White children. Particular attention is paid to the racial–ethnic diversity (or ‘heterogeneity’) of neighborhood residents as a risk factor for child welfare system involvement, as social disorganization theory suggests that cultural differences and racism may decrease neighbors' social cohesion and capacity to enforce norms regarding acceptable parenting and this may, in turn, increase neighborhood rates of child maltreatment. Results from this study indicate that racial–ethnic diversity is a risk factor for child welfare involvement for all three groups of children studied, even after controlling for other indicators of social disorganization. Black, Hispanic and White children living in diverse neighborhoods are significantly more likely to be reported to Child Protective Services than children of the same race/ethnicity living in more homogeneous neighborhoods. However, the relationships between child welfare system involvement and the other indicators of social disorganization measured, specifically impoverishment, immigrant concentration child care burden, residential instability, and housing stress, varied considerably between Black, Hispanic and White children. For Black children, only housing stress predicted child maltreatment referral rates; whereas, neighborhood impoverishment, residential instability, and child care burden also predicted higher child maltreatment referral rates for Hispanic and White children. Immigrant concentration was unrelated to maltreatment referral rates for Black and Hispanic children, and predicted lower maltreatment referral rates for White children. Taken together, these findings suggest that racial–ethnic diversity may be one of the more reliable neighborhood-level demographic indicators of child welfare risk across different racial/ethnic groups of children. However, many of the other neighborhood characteristics that influence child maltreatment referrals differ for Black, Hispanic and White children. Consequently, neighborhood-based family support initiatives should avoid a one-size-fits-all approach to child abuse prevention and strategically consider the racial/ethnic make-up of targeted communities.     

Measuring organizational effectiveness to develop strategies to promote retention in public child welfare

Public child welfare agencies are under pressure to improve organizational, practice and client outcomes. Related to all of these outcomes is the retention of staff. Employee intent to remain employed may be used as a proxy for actual retention. In this study public child welfare staff in one Midwestern state were surveyed using the Survey of Organizational Excellence (Lauderdale, 1999) and the Intent to Remain Employed (Ellett, Ellett, & Rugutt, 2003) scales to assess the extent to which constructs such as perceptions of organizational culture, communication and other areas of organizational effectiveness were associated with intent to remain employed. A number of statistically significant relationships were identified which were presented to the public agency for use in the development of strategies for organizational improvement. Data were also analyzed regionally and based on urban/suburban/rural status to enable development of targeted approaches. This case study presents an example of how ongoing measurement of organizational effectiveness can be used as a strategy for organizational improvement over time in the child welfare system.     

Liability in child welfare

Child welfare workers and agencies are vulnerable to lawsuits. Recent court rulings have more clearly defined the liability of workers. The distinguishing variable is custody. Children injured while in the custody of the state are entitled to sue for damages. Children injured by their parent, even if under the supervision of a child welfare agency, are not entitled to claim a violation of their 14th Amendment rights. These cases are reviewed and strategies designed to minimize vulnerability are offered.     

Explaining the disparity in placement instability among African-American and white children in child welfare: A Blinder-Oaxaca decomposition

African-American children in the child welfare system are at disproportionate risk of adverse experiences including placement instability. This article compares placement instability among African-American and white children in the National Survey of Child and Adolescent Well-Being and identifies mechanisms underlying racial disparities using a Blinder-Oaxaca decomposition. The type of initial out-of-home placements contributes significantly to the racial gap in placement instability. However a large amount of racial disparity remains unexplained. Additional factors, not captured by these analyses, apparently explain African-American's increased risk of placement instability. Predictors of placement instability differ between racial groups. Among African-Americans, older age, initial placement in a setting other than kinship care, and having a higher externalizing CBCL score at baseline are associated with greater instability. Among white children, however, only initial placement in a foster care setting predicted placement instability.     

Family group decision making: Measuring fidelity to practice principles in public child welfare

This study describes the development and validation of a short, self-administered fidelity measure used to capture the perspectives of a range of individuals participating in a family group decision making conference. Exploratory factor analyses suggested either a two or a three factor solution. Findings from confirmatory factor analysis supported a three factor model that includes sets of practices yielding: (1) Productive Decision Making; (2) Family Group Inclusion; and (3) Professional Supportiveness. These results provide direction to public child welfare practitioners and policymakers about the importance and the feasibility of attending to multiple perspectives in assessing program delivery.     

Data mining in child welfare

Data mining is the sifting through of voluminous data to extract knowledge for decision making. This article illustrates the context, concepts, processes, techniques, and tools of data mining, using statistical and neural network analyses on a dataset concerning employee turnover. The resulting models and their predictive capability, advantages and disadvantages, and implications for decision support are highlighted.     

Re-thinking accountability in child welfare

This paper observes that PL 96-272 has largely focused on the development of external mechanisms, such as citizen's boards and court reviews, to strengthen accountability in the child welfare system. The paper suggests that we might be reaching the limits of what these mechanisms can accomplish, and that further external regulation might have the unanticipated effects of blurring the lines of accountability and of discouraging skilled workers from entering or staying in the field. Instead, the paper argues for renewed attention to structuring child welfare systems in ways that support skilled casework practice. Only then will real accountability be achieved.     

Racial/ethnic disparity in child welfare systems: A longitudinal study utilizing the Disparity Index (DI)

The purpose of the study is to examine racial/ethnic disparity among children and families that are involved with the child welfare system. Specifically, the authors explore whether or not disparity levels and long-term changes in disparity in California child welfare systems are significant. In addition, the study investigates how county characteristics such as child poverty rates, unemployment rates, and rurality are associated with levels of disparity and changes in racial/ethnic disparity over time. Using a Latent Growth Curve (LGC) modeling approach, the study estimated the trajectories of county-level Disparity Index (DI) scores (Shaw, Putnam-Hornstein, Magruder, & Needell, 2008). African American and Hispanic/Latino children were compared to Caucasian children for two phases of the child welfare process: substantiated allegations and entries, between 2005 and 2008. The results demonstrate that racial/ethnic disparity between African American and Caucasian children was significant at both phases of the child welfare process in 2008. However, disparity between Hispanic/Latino and White children was not significant. Levels of disparity between African American and Caucasian children remained constant over time. Regarding the effects of county characteristics, higher child poverty rates, higher unemployment rates and rurality were related to lower levels of disparity. In addition, unemployment rates were associated with increasing rates of change in entries disparity between African American and Caucasian children. And urbanicity was associated with increasing rates of change in substantiated allegations disparity between Hispanic/Latino and Caucasian children. The study's implications for future research are discussed.     

Racial disparity in Minnesota's child protection system

Minnesota has been recognized by several studies as a state with a significant amount of racial disparity in its child protection system. This study, using 2001 data from Minnesota's Social Services Information Service, was conducted to determine at which of the six decision points in Minnesota's child welfare system racial disparities are statistically significant. The authors employ a nested model to examine a child's journey through the Minnesota child protection system. Using binary logistic regression, they are able to determine the odds that a child belonging to a particular racial or ethnic group would progress to the next decision point.     

Improving productivity in child welfare programs

The project met its objective of finding ways to improve the efficiency of a child welfare program. The agency will continue an intensive evaluation of the program to reassess the procedures' impact on productivity. The project found that, with adaptation, work-methods techniques developed in industry can be useful to child welfare programs. Critical elements in the success of a productivity improvement project include full, visible support by the agency's policy makers and top management; early intensive involvement of affected personnel; wide implementation of recommended improvements; and continued review of their effectiveness. Although no single work-methods project can solve all problems connected with an agency's way of carrying out its work, the process developed by the Texas Department of Human Resources can be applied usefully by both public and private child welfare agencies as they seek ways to improve the efficiency of their programs.     

Self psychology in child welfare practice

The use of self psychology, a theory first developed by Kohut, in formulating and guiding treatment planning and implementation in child welfare, is discussed, with accompanying illustrations from child welfare practice of key concepts.