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Category: Targeting Resources

Infants are placed in foster care at a higher rate than children of all other ages. Nationally, infants make up approximately 22% of children entering foster care and, once in care, stay in care longer than older children. Given infants’ sizeable representation in the system, they warrant particular attention as child welfare agencies develop and implement policies and practices. This post summarizes a presentation recently delivered by Fred Wulczyn and Zach Martinez at Harvard University’s Center for the Developing Child. The presentation describes from a risk perspective how infants represent a unique sub-population of children involved in the child welfare system. By bringing infants’ particular characteristics and experiences to the fore—e.g., the circumstances under which they come into contact with the child welfare system, their specific risk factors, and their trajectories toward permanency—the findings provide valuable information that can guide state efforts to improve infant well-being. To view the presentation… Read more >

When we know why an outcome varies, we can use that knowledge to deploy targeted interventions where they have the most potential to create the change we want to see. No scenario highlights the importance of targeting interventions more than the Title IV-E waiver. This post describes how observing and interpreting variation early on in the waiver proposal process can help a state build a strong proposal.... Read more >
Variation not only helps you define the outcome you want to improve, it also creates a springboard for crafting the solution. Once we know that an outcome varies, the next step in the CQI process is to ask: Why? This post provides guidance on how to interpret the variation you observe in your system and explains why that interpretation is vital to strategic planning.... Read more >

This is the last in a 4-part series that shows how to use the web tool to hone in on the needs of infants in foster care. In the last three posts, we used different parts of the web tool to learn how many infants are in our system in the first place, how long they spend in foster care, and what is unique about their placement and exit experience. When we left off, we had just learned that, among other things, infants in our sample county are more likely than older children to be placed in non-relative foster care, to exit to adoption, and when they reunify, to reunify within 90 days. What can we learn about what goes on behind the scenes in these cases that can give us more information about what might expedite permanency for infants in foster care? In this Recipe, I’ll show you how… Read more >

In Part 1 of this series of Recipes, we learned about a county where infants represent the largest proportion of children entering foster care. In Part 2, we found out that those infants stayed in care longer than children who entered care at older ages. In this Recipe, we’ll use another function of the web tool to learn more about who these infants are and what they experience while in care, and use what we learn to inform our decision making about the type of intervention they might need. This Recipe will take about 10 minutes to complete. Question: What are the demographic and case-related characteristics of the infants in my system? In what ways are the children in my system who enter as infants different from the children who enter care at older ages? Follow the steps in the previous Recipe. On the results page, scroll to the top and… Read more >