This study investigates how administrative burdens influence differential receipt of income transfers after a family member loses a job, looking at Unemployment Insurance, Temporary Assistance for Needy Families, and the Supplemental Nutrition Assistance Program.
New America’s New Practice Lab discusses insights into racial inequities within the Unemployment Insurance System, and provides recommendations its framework for rectifying inequality in policies and programs moving forward.
The Center on Budget and Policy Priorities (CBPP) report discusses how reducing administrative burdens in Medicaid can enhance health outcomes and promote racial equity.
This report puts forth an anti-racist reimagining of Medicaid and CHIP that actively reckons with the racist history of the Medicaid program and offers principles and recommendations that capitalize on the transformative potential of the programs. The principles center the voices and agency of program participants and prioritize direct community involvement at all stages of the policy process.
Medicaid and SNAP have reduced racial and ethnic disparities in healthcare access and food security, but some administrative and eligibility policies continue to create inequitable barriers.
This page provides a U.S. Web Design System pattern for collecting race and ethnicity information in user profiles in a way that respects identity, supports data standards, and promotes inclusion.
This toolkit provides practical guidance for agencies, researchers, and community partners to embed racial equity throughout every stage of data integration and use.
Study by the Director of the Office of Management and Budget assessing methods for determining whether agency policies and actions create or exacerbate barriers to full and equal participation by eligible individuals. This study followed the Executive Order on racial equity.
This case study examines how Michigan’s Department of Health and Human Services uses data practices to advance racial equity in child welfare through identity-informed data collection and anonymous decision-making.
U.S. Department of Health and Human Services (HHS)
