This tool highlights concrete strategies that health and human services staff can use to help identify people with lived experience to engage.
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What is 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 ensuring our services reach all people.Related Products:
ASPE Issue Brief
Changes in Health Insurance Coverage, 2019-2021: Geographic and Demographic Patterns in the Uninsured Rate
This Issue Brief examines the composition of the population that is uninsured and highlights changes in uninsured rates by geography and demographic factors from 2019 to 2021, during a time of significant federal policy efforts to expand coverage.
Research Brief
Meeting Substance Use and Social Service Needs in Communities of Color
In this brief, we highlight experiences and practices from substance use treatment providers and their human services partners when serving people of color. We selected providers that focused on serving people of color, and this study was not intended to assess outcomes or effectiveness of any of the practices highlighted.
Database, Dataset
State and Local Estimates of the Uninsured Population in the U.S. Using the Census Bureau’s 2021 American Community Survey
Methodological Description
ASPE Issue Brief
National and State Estimates of Children Living with Parents Using Substances, 2015–2019
This brief presents estimates of the number and percentage of children whose parents engage in problematic substance use, including past-year substance use and SUD by substance type and child demographics. Key findings include:
ASPE Issue Brief
Racial/Ethnic Differences in Children’s Mental Health Services Use Before and During the COVID-19 Pandemic Issue Brief
Using a national Medicaid database, the report shows significant racial/ethnic disparities in mental health service use among children during the COVID-19 pandemic.
Report
Avoiding Racial Bias in Child Welfare Agencies' Use of Predictive Risk Modeling
In recent years several researchers and child welfare agencies have begun developing predictive risk models to support child welfare decision-making. Predictive analytics is a sophisticated form of risk modeling that uses historical data to understand relationships between myriad factors to estimate a probability score for the outcome of interest.
ASPE Data Point
HealthCare.gov Enrollment by Race and Ethnicity, 2015-2022
This Data Point presents changes in HealthCare.gov enrollment by race and ethnicity from 2015-2022 using a validated imputation method for missing information on race and ethnicity.
ASPE Issue Brief
Reductions in Deaths and Hospitalizations Associated with COVID-19 Vaccinations Among Medicare Beneficiaries: Full Year 2021 Estimates
This study updates ASPE’s previous analysis of the associations between COVID-19 hospitalizations and deaths among Medicare beneficiaries and COVID-19 vaccination rates, with full year data through the end of 2021.