Overview [For a complete overview, see the Advancing States' Child Indicators Initiatives]
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
Displaying 461 - 470 of 614. 10 per page. Page 47.
Advanced SearchSurvey Design for TANF Caseload Project: Summary Report and Recommendations
This report presents research to assist states and counties in studying their current Temporary Assistance for Needy Families (TANF) caseloads.
Confronting the New Health Care Crisis: Improving Health Care Quality and Lowering Costs By Fixing Our Medical Liability System
With rapidly rising health care costs, reforms are needed to make high-quality, affordable health care more widely available. A critical element for providing real relief for both patients and physicians is comprehensive reform of our current medical liability system.
TANF Caseload Survey: Common Instrument
Based on the summary report, Survey Design for TANF Caseload Project, Summary Report and Recommendations, that reviews existing survey questions and scales focused on potential barriers to employment among TANF recipients, ASPE finalized this survey instrument, the TANF Caseload Survey, for use in the six state studies.
Key Themes: Reflections from the Child Indicators Projects
General Uses of Child Indicator StudiesMairéad Reidy. Ph.D.,
Senior Research Associate
Chapin Hall Center for Children
University of Chicago,
(773) 256 5174 (phone)
reidy-mairead@chmail.spc.uchicago.edu
Advancing State Child Indicators Initiatives
Contents Overview: Project Objectives, Operations, and Key Concerns Overview of Technical Assistance to States Key Project Products and Publications Communicating the Results and Lessons Learned from the Child Indicators Project
Case Study
Medicaid Buy-In Programs: Case Studies of Early Implementer States
This paper describes the findings from nine Case Study states. These case studies were conducted: (1) To examine early implementation experience among the states in order to gain an understanding of the programmatic, fiscal, and political context in which design decisions were made.