Human Services

This guide highlights questions for health and human services staff to consider and discuss as a team before recruiting individuals with lived experience, as well as key content to consider including in outreach materials.

This tool highlights concrete strategies that health and human services staff can use to help equitably identify people with lived experience to engage.

This tool contrasts components of ideal, equitable engagements with components of inequitable engagements, which health and human services staff can use to identify opportunities to strengthen efforts to engage people with lived experience.

This infographic describes key elements of lived experience in the context of health and human services work, and why engaging people with lived experience is essential to advancing equity. Related Products:

Social safety net programs provide different types of support to people facing economic hardship. This data point presents estimates of overall participation in the social safety net in 2019, the latest year of available data and presents rates of participation in multiple programs. Key Points:

People facing economic instability often need more than one program or service. This pre-pandemic analysis looks at the reach of the social safety net, including the interaction of specific programs, to better understand program participation as the economy continues to recover. Key Points:

This brief explores important trends in the child care industry during the first two years of the COVID-19 pandemic and places those trends in a historical context. Specifically, we find:

This report provides information to state, tribal, and local child welfare and behavioral health agencies that are interested in linking their Medicaid and child welfare data.

This tip sheet provides key considerations for how organizations can identify potential diverse external partners, conduct outreach to them, and build and sustain productive relationships with them.

This guide explores opportunities to advance equity in quantitative analysis, including by recognizing common biases (e.g., research and measurement bias) and discussing specific quantitative methods and tools to help quantitative analyses address equity.