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Category: Principles of Longitudinal Analysis

In 2013, the Data Center collaborated on a project examining patterns of healthcare needs and Medicaid expenditures for children in foster care in New York State. Read more about the findings and their implications for the state's transition from a fee-for-service health care system to managed care. ... Read more >

Today, public child welfare agencies are taking stock of their capacity for Continuous Quality Improvement (CQI) and considering the investments they will make in order to build that capacity. How these CQI systems develop will vary from agency to agency depending on administrative structure, staffing patterns, available resources, and a host of other factors. They will all, however, be responsible for facilitating the same basic CQI process—a cycle of problem solving activities that requires the deliberate use of evidence. Given that shared responsibility, the child welfare field will benefit from a common vocabulary for describing what CQI is, the core principles on which CQI rests, and the critical role that evidence plays throughout the CQI process. In keeping with a century-long tradition of CQI that has guided improvement efforts in other fields, we put forth a common language for child welfare CQI in a new publication, Principles, Language, and Shared… Read more

In this session, Data Center Director Fred Wulczyn provided a high-level overview of the proposed CFSR 3 measures, discussed the methods for setting national standards, baselines, and targets, and highlighted issues for states to consider as they prepare comments to the Children’s Bureau. Read a recap, view the webinar, and download the slides.... Read more >
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