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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.


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Support and Services at Home (SASH) Evaluation: Highlights from the First Four Years Research Summary

February 28, 2017
This Research Summary describes the primary features of the SASH program and summarizes the main findings of the evaluation to date.  [7 PDF pages]

Support and Services at Home (SASH) Evaluation: Evaluation of the First Four Years

February 28, 2017
This evaluation report describes the implementation and impacts of a program intended to improve health status and slow the growth of health care expenditures among older adults living in affordable housing properties. The Support and Services at Home (SASH) program connects participants with community-based services and promotes coordination of health care.

Final Report Volume I: Background Paper, Declining Response Rates in Federal Surveys: Trends and Implications

January 18, 2017
Over the last decade, survey response rates have been steadily declining, and this decline has raised concerns across the federal government regarding the quality and utility of national survey data.

Measurement of Interoperable Electronic Health Care Records Utilization

January 17, 2017
The objective of this project was to develop methods to measure the degree of interoperability as a result of data sharing and use between users of certified technologies who are eligible for Meaningful Use (MU) incentives and non-incentivized Trading Partners (TPs) using non-certified technologies.

Guidelines For Regulatory Impact Analysis: A Primer

January 12, 2017
Regulatory impact analyses (RIAs) apply a well-established and widely-used framework for collecting, organizing, and evaluating data on the anticipated consequences of alternative policies.

Guidelines For Regulatory Impact Analysis

January 12, 2017
Regulatory impact analyses (RIAs) apply a well-established and widely-used framework for collecting, organizing, and evaluating data on the anticipated consequences of alternative policies.

Factors associated with reduced expulsion in center-based early learning settings: Preliminary findings from the National Survey of Early Care and Education (NSECE)

January 11, 2017
This brief provides new national estimates of recent early childhood expulsion rates in a range of center-based early learning settings using data from the National Survey of Early Care and Education (NSECE), indicating how characteristics of early care and education (ECE) centers relate to the likelihood that children are denied services due to behavior.  The analysis describes how access to c

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.  

Strength in Numbers: Supporting Quality Improvement in Early Care and Education Programs through Linking Administrative Data

September 19, 2016
The Building Capacity to Use Linked Data project has developed several short, easy-to-read resources to help program leaders work toward linking their data with data from other agencies, and using linked data to support quality improvement.  One of these resources includes a research brief titled, Strength in Numbers: Supporting Quality Improvement in Early Care and Education Progr