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Objective: Interorganizational relationships (IORs) between child welfare agencies and mental health service providers may facilitate mental health treatment access for vulnerable children. This study investigates whether IORs are associated with greater use of mental health services and improvement in mental health status for children served by the child welfare system. Methods: This was a longitudinal analysis of data from a 36-month period in the National Survey of Child and Adolescent Well-Being (NSCAW). The sample consisted of 1,613 children within 75 child welfare agencies who were 2 years or older and had mental health problems at baseline. IOR intensity was measured as the number of coordination approaches between each child welfare agency and mental health service providers. Separate weighted multilevel logistic regression models tested associations between IORs and service use and outcomes, respectively. Results: Agency-level factors accounted for 9% of the variance in the probability of service use and 12% of mental health improvement. Greater intensity of IORs was associated with higher likelihood of both service use and mental health improvement. Conclusions: Having greater numbers of ties with mental health providers may help child welfare agencies improve children's mental health service access and outcomes. Practice implications: Policymakers should develop policies and initiatives to encourage a combination of different types of organizational ties between child welfare and mental health systems. For instance, information sharing at the agency level in addition to coordination at the case level may improve the coordination necessary to serve these vulnerable children. [Copyright &y& Elsevier]

Objective: This study examined health service access among children of different racial/ethnic groups in the child welfare system in an attempt to identify and explain disparities. Methods: Data were from the National Survey of Child and Adolescent Well-Being (NSCAW). N for descriptive statistics=2,505. N for multiple regression model=537. Measures reflected child health services need, access, and enabling factors. Chi-square and t tests were used to compare across racial/ethnic groups. A logistic regression model further explored the greatest disparity identified, that between non-Latino/a Black and White children in caseworker-reported access to counseling. Results: In general, caseworker reports of health care service receipt did not differ across racial/ethnic groups. However, Latino/a children had better reported access to vision services than non-Latino/a White children, and counseling access was lower for non-Latino/a Black children than non-Latino/a White children. Caseworkers¿ self-reported efforts to facilitate service access did not vary by race/ethnicity for any type of health care. In the multiple regression model, both private health insurance and a lack of insurance were negatively associated with counseling access, while a history of sexual abuse, adolescence, and greater caseworker effort to secure services were positively associated with access. Race was just barely nonsignificant after controlling for other factors expected to affect access. Conclusions: One possible reason why Black children are less likely to be identified as needing counseling is the fact that they are less likely than White children to have reports of sexual abuse, which strongly predicts counseling access. Practice implications: First, child welfare practice may be more equitable than many believe, with generally comparable health service access reported across children's racial/ethnic groups. Second, caseworkers may be under-identifying need for counseling services among Black children, although this might reflect less frequent reports of sexual abuse for Black children. Third, both privately insured and uninsured children were less likely to receive needed mental health counseling than those with public insurance. This suggests that policy makers should focus on increasing the numbers of children enrolled in public health insurance programs such as Medicaid and the State Children's Health Insurance Program (SCHIP). [Copyright &y& Elsevier]