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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 61 - 70 of 509. 10 per page. Page 7.

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Costs and Benefits of Selected Policy Tools to Promote Drug Development

February 15, 2018
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

December 12, 2017
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 Assessment of Current Efforts, Challenges and Opportunities

November 2, 2017
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.

Predictive Analytics in Child Welfare: An Introduction for Administrators and Policy Makers

November 2, 2017
This document introduces child welfare administrators and policy makers to the benefits and challenges faced in using predictive analytics to improve child welfare practice.
Report to Congress

Welfare Indicators and Risk Factors, Sixteenth Report to Congress

August 31, 2017
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

July 16, 2017
With the aging of the population, the demand and need for long-term care (LTC) is certain to grow, and with it public and private expenditures. Unlike medical care, where insurance is common, few people have private LTC insurance, and Medicare does not cover LTC. Many older adults pay for LTC out of their income and personal savings until they qualify for Medicaid.

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

July 16, 2017
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.

Data User's Guide for the Public Use File of the Survey of Long-Term Care Awareness and Planning: Appendix A. Survey of Long-Term Care Awareness and Planning Questionnaire

July 16, 2017
This is the full instrument for the Survey of Long-Term Care Awareness and Planning, and Appendix A of the report "Data User's Guide for the Public Use File of the Survey of Long-Term Care Awareness and Planning".

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.

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]