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Guidance and policies on the routine operations for the U.S. Repatriation Program

As our partners at the Department of Health and Human Services (HHS) continue to work closely with state, local, tribal, and territorial partners, as well as public health partners across the globe to respond to contain COVID-19, we want to inform you that the Centers for Disease Control and Prevention (CDC) at HHS continues to provide updates and guidance from medical professionals about how to protect you and those you serve from COVID-19.

This Technical Bulletin provides information on measurement and case review sampling for Round 4 of the Child and Family Services Reviews.

Abstracts for Special Improvement Project (SIP) grants awarded in FY 2008
 

Jerry Milner, D.S.W., is the former Associate Commissioner at the Children’s Bureau.

Children’s Bureau announces the approval of the District of Columbia's Child and Family Services Agency Title IV-E Prevention Program Five-Year Plan: “Putting Families First in DC” as the country's first Family First Prevention Plan under the Family First Prevention Services Act.

This document provides an overview and brief description of the folders, files, and syntax included in the CFSR round 3 zip file; considerations and steps for running the syntax; and software requirements.

This document provides the syntax used to perform data-quality checks, calculate observed performance, and calculate risk-standardized performance on the seven statewide data indicators. This document may help individuals develop a better understanding of the statistical calculations or provide assistance for individuals who do not have SPSS and/or STATA statistical software to run the syntax files.

This document provides a summary of errors, corrections, and changes made to the syntax used to calculate performance on the statewide data indicators and data quality checks.

This document provides a description of each statewide data indicator and data quality check, including the numerators, denominators, risk adjustments, exclusions, and corresponding data notes.