Using Administrative Data to Monitor Racial/Ethnic Disparities and Disproportionality Within Child Welfare Agencies: Process and Preliminary Outcomes
In: Journal of public child welfare, Band 12, Heft 1, S. 23-41
ISSN: 1554-8740
3 Ergebnisse
Sortierung:
In: Journal of public child welfare, Band 12, Heft 1, S. 23-41
ISSN: 1554-8740
In: Child & family social work, Band 19, Heft 3, S. 321-332
ISSN: 1365-2206
AbstractThis paper reviews interventions for preventing the occurrence and recurrence of major types of child maltreatment. We begin with an overview of the challenges of establishing evidence‐based interventions to prevent child abuse and neglect in many countries, and underscore the importance of this need with child maltreatment incidence rates in the USA, and how much each type and subtype contribute to child out‐of‐home placement. Next, we identify the well‐supported, supported and promising interventions for each child maltreatment type and subtype, according to their level of research evidence using an evidence‐based clearing house. The paper closes with a discussion of the implications for practice, evaluation, policy and agency management, including intervention knowledge gaps that showcase areas that need additional practice research.
In: Research on social work practice, Band 26, Heft 5, S. 572-582
ISSN: 1552-7581
Objective: This article describes the evaluation of permanency roundtables, an intervention to help youth in foster care achieve legal permanency and the challenges evaluators faced in finding and using appropriate comparison data. Method: In 2009, permanency roundtables were conducted for 496 children in Georgia, most of whom had spent extended time in care. Half (50%) achieved legal permanency within 24 months of the roundtables. Results: Five potential sources of comparison data, none of which provide an ideal comparison, are presented and discussed. Conclusions: Ideally, evaluators should plan for one or more comparison groups at the very beginning of the evaluation. However, post hoc comparisons should not be dismissed altogether. The challenge for evaluators is to generate valid comparison groups to determine whether an intervention made a significant improvement, despite challenges such as limited funding, tight timelines, and unmeasured contextual differences between groups.