This brief describes the research methods used to produce the findings in Substance Use, the Opioid Epidemic, and Child Welfare Caseloads: A Mixed Methods Study. It is a part of a series of briefs that discuss different aspects and issues surrounding the relationship between substance use disorders and the child welfare system.
Data
ASPE uses and produces data as key components of its work. ASPE studies and assesses data and how it is captured, managed, analyzed and protected, including the interplay of the sources, systems, standards for data that support policy, practice and research.
ASPE also co-chairs the HHS Data Council, which is the principal internal advisory body to the Secretary on health and human services data policy. The Council coordinates data policy activities in HHS, including the development and implementation of an HHS data strategy, and conducts research to improve long-term collection and use of HHS data.
ASPE’s work involves many types of data produced by HHS and other governmental programs and other partners. For example:
- Through its Foundations for Evidence-Based Policies Act of 2018 (“Evidence Act”) and Data Council responsibilities, ASPE leads HHS efforts to improve the quality and accessibility of its data assets.
- Through its investments under the aegis of the Office of the Secretary Patient-Centered Outcomes Research Trust Fund (OS-PCORTF), ASPE supports interoperability through such products as linked datasets involving mortality data, HL7 implementation guides in support of FHIR for research use of electronic health records, claims and other data, and natural language processing approaches.
- Through the use of ASPE-developed supplemental data tables, ASPE has developed issue brief series examining options before and after the passage of the American Rescue Plan Act of 2021 (ARP).
- Through its issue briefs such as this brief on Medicare Telehealth utilization trends, ASPE provides unique and timely data and analyses on important policy issues.
- Pursuant to the Social Security Act, ASPE annually calculates and publishes the Federal Medical Assistance Percentage (FMAP), enhanced Federal Medicaid Assistance Percentage (e-FMAP), and disaster-recovery FMAP for all states, the District of Columbia, and territories. The FMAP is used to determine federal funding for Medicaid/CHIP, Temporary Assistance for Needy Families (TANF) Contingency Funds, and other public programs. The FY 2022 FMAP notice was published in the Federal Register on November 30, 2020.
Noteworthy
Reports
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Advanced SearchPredictive Analytics in Child Welfare: Considerations in Contracting Vendors for Predictive Analytics
An increasing number of child welfare agencies are considering using predictive analytics in their work. Typically they do so by contracting with a vendor to develop and maintain a predictive analytics model that is used by the agency to predict risk of a specified outcome.
Report to Congress
Welfare Indicators and Risk Factors, Seventeenth Report to Congress
This report provides welfare dependence indicators through 2015 for most indicators and through 2016 for some indicators, reflecting changes that have taken place since enactment of the Personal Responsibility and Work Opportunity Reconciliation Act (PRWORA) in 1996.
Substance Use, the Opioid Epidemic and the Child Welfare System: Key Findings from a Mixed Methods Study
This study examined the relationship between parental substance misuse and child welfare caseloads, which began rising in 2012 after more than a decade of decline.
Costs and Benefits of Selected Policy Tools to Promote Drug Development
The development of new drugs and biologics is critical to ensuring that the U.S. population continues to enjoy improvements in quality and length of life.
Estimating Medical Costs for Regulatory Benefit-Cost Analysis: Conceptual Framework and Best Practices
The U.S. Department of Health and Human Services (HHS) is required to assess the benefits and costs of its major regulations prior to promulgation. To support these assessments, in 2016 HHS issued its Guidelines for Regulatory Impact Analyses, developed under the leadership of its Office of the Assistant Secretary for Planning and Evaluation and its Department-wide Analytics Team.
Predictive Analytics in Child Welfare: An Introduction for Administrators and Policy Makers
This document introduces child welfare administrators and policy makers to the benefits and challenges faced in using predictive analytics to improve child welfare practice.
Predictive Analytics in Child Welfare: An Assessment of Current Efforts, Challenges and Opportunities
Child welfare agencies are interested in leveraging new and emerging techniques to help them harness data and technology to make dramatic improvements to child welfare practice and ultimately produce better outcomes for children and families.
Report to Congress
Welfare Indicators and Risk Factors, Sixteenth Report to Congress
This report provides welfare indicators through 2014 for most indicators and through 2015 for some indicators, reflecting changes that have taken place since enactment of the Personal Responsibility and Work Opportunity Reconciliation Act (PRWORA) in 1996.
Data User's Guide for the Public Use File of the Survey of Long-Term Care Awareness and Planning: Appendix B. Codebook for Survey of Long-Term Care Awareness and Planning
This is the Codebook for the Survey of Long-Term Care Awareness and Planning public use file, and Appendix B of the report "Data User's Guide for the Public Use File of the Survey of Long-Term Care Awareness and Planning". The Codebook contains every variable name, its label, and unweighted and weighted frequencies.