Administrative Data

Effective January 1, 2023, the Inflation Reduction Act (IRA) eliminated enrollee cost-sharing for recommended vaccines covered under Medicare Part D. In 2021, 3.4 million people received vaccines under Part D, and annual out-of-pocket costs were $234 million.

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.

In April 2021 the U.S. Department of Health and Human Services (HHS) issued revised Practice Guidelines for the Administration of Buprenorphine for Treating Opioid Use Disorder (Practice Guideline).

The authors conducted a landscape scan to identify environmental data suitable for health services research (HSR) and patient centered outcomes research (PCOR). Additional research was done to uncover examples of and opportunities for data linkage with other HHS data.

Using a national Medicaid database, the report shows significant racial/ethnic disparities in mental health service use among children during the COVID-19 pandemic.

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.

Medicaid pays for nearly half of all births in the United States, including most births by Black and Hispanic pregnant population.

This project focused on validating an established claims-based frailty indexes (CFI) using linked claims-EHR databases of multiple large health systems. Additionally, the project assessed and compared the EHR and claims data of these data sources to ensure sufficient data quality for frailty analysis.