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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.

Reports

Displaying 461 - 470 of 641. 10 per page. Page 47.

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Performance Improvement 2004

Evaluation Activities of the U.S. Department of Health and Human Services"ForewordThis report, Performance Improvement 2004: Evaluation Activities of the U.S. Department of Health and Human Services, complies with Section 241(b) of the Public Health Service Act, as amended by the Preventive Health Amendments of 1993.

Using MSIS Data to Analyze Mental Health Service Use and Expenditures for Medicaid Beneficiaries with Mental Illness in New Jersey in 1999

U.S. Department of Health and Human Services Using MSIS Data to Analyze Mental Health Service Use and Expenditures for Medicaid Beneficiaries with Mental Illness in New Jersey in 1999

Federal Medical Assistance Percentages (FMAP), Fiscal Year 2005

Federal Financial Participation in State Assistance Expenditures; Federal Matching Shares for Medicaid, the State Children's Health Insurance Program, and Aid to Needy Aged, Blind, or Disabled Persons for October 1, 2004 Through September 30, 2005 [Federal Register: December 3, 2003 (Volume 68, Number 232)]

Measuring Long-Term Care Work: A Guide to Selected Instruments to Examine Direct Care Worker Experiences and Outcomes

U.S. Department of Health and Human Services U.S. Department of Labor Measuring Long-Term Care Work: A Guide to Selected Instruments to Examine Direct Care Worker Experiences and Outcomes Executive Summary

Core Performance Indicators for Homeless-Serving Programs Administered by the U.S. Department of Health and Human Services

Contents Characteristics of the Four Homeless-Serving Programs Analysis of Measures Derived from Homeless Administrative Data Systems (HADS) Potential Core Performance Measures For Homeless-Specific Service Programs Application of Sugges

Neighborhoods and Health: Building Evidence for Local Policy

Contents Site-Specific Analyses Cross-Site Analysis: The Changing Urban Context Cross-Site Analysis: Health Trends and Study Hypotheses Conclusions  

Toward a National Health Information Infrastructure: A Key Strategy for Improving Quality in Long-Term Care

Marcelline R. Harris, RN, Ph.D., Mayo Clinic Christopher G. Chute, MD, Dr.P.H., Mayo Clinic Jennie Harvell, M.Ed., U.S. Department of Health and Human Services Alan White, Ph.D., Abt Associates