ASPE recently published a narrative review in PLOS Digital Health exploring how synthetic data are being used. Researchers searched published literature and known, publicly available synthetic datasets.
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Synthetic Data in Health Care: A Narrative Review
January 6, 2023
ASPE Issue Brief
Racial/Ethnic Differences in Children’s Mental Health Services Use Before and During the COVID-19 Pandemic Issue Brief
November 9, 2022
Using a national Medicaid database, the report shows significant racial/ethnic disparities in mental health service use among children during the COVID-19 pandemic.
Avoiding Racial Bias in Child Welfare Agencies' Use of Predictive Risk Modeling
November 9, 2022
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.
Leveraging ACF Administrative Data for Evidence and Research
April 23, 2020
This brief analyzes information on administrative data resources collected by the Administration for Children and Families (ACF). It explores how the data can be leveraged to improve evidence and research on ACF programs and beneficiaries. Key highlights include:
AI AN Data Capacity
February 6, 2020
National health surveillance instruments are intended to monitor important health issues and health status of all populations in the United States. Several population subgroups present with disparities in health conditions and health care. To effectively create programs and policies to address these issues requires accurate identification of key population subgroups.
To Big Data or Not: Determining the Use of Big Data
September 25, 2019
The purpose of this research project was to provide the Office of Science and Data Policy at ASPE with some informed observations concerning the use of new data sources and data management strategies in policy research, evaluation, and decision-making at the federal level. A secondary goal was to identify successful training models in data science for the federal workforce.
Public Listing Status of Data-Waivered Providers: Data Brief
June 2, 2019
A large proportion of DATA-waivered providers choose not to be publicly listed on the SAMHSA website. Greater proportions of physician assistants and nurse practitioners, compared to physicians, opt to be listed on the SAMHSA website.
Status of State Efforts to Integrate Health and Human Services Systems and Data: 2016
January 4, 2017
This research brief presents findings from a survey administered to state health and human services officials asking about their efforts to strengthen connections between health and human services programs for low-income populations through increased data interoperability and systems integration.
Minnesota Managed Care Longitudinal Data Analysis
March 30, 2016
This project studied the delivery of Medicare and Medicaid-funded services to dually eligible beneficiaries aged 65 and older in Minnesota. It compared fully-integrated managed care to service delivery when Medicare and Medicaid-funded services are delivered independently.
Synthetic Trajectories Obtained by Matching Longitudinal Data
August 9, 2015