This paper describes the work that will be undertaken to measure financial and non-financial benefits, and identify to whom the benefits accrue. [1 PDF page]
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 411 - 420 of 628. 10 per page. Page 42.
Advanced SearchHealth Information Exchange in Post-Acute and Long-Term Care: Project Summary
This paper describes the work that will examine how Health Information Exchange (HIE) is occurring between health delivery systems and unaffiliated post-acute and long-term care settings and factors that promote or hinder the exchange. [1 PDF page]
Report to Congress
Congressionally Mandated Evaluation of the State Children's Health Insurance Program: Final Report to Congress
Prepared by:
Judith Wooldridge Mathematica Policy Research, Inc.
Genevieve Kenney The Urban Institute
Christopher Trenholm Mathematica Policy Research, Inc.
with
Lisa Dubay The Urban Institute
Ian Hill The Urban Institute
Myoung Kim Mathematica Policy Research, Inc.
Lorenzo Moreno Mathematica Policy Research, Inc.
Understanding Estimates of the Uninsured: Putting The Differences In Context
A discussion of the various government surveys that produce estimates of the number of people without health insurance.
Evaluability Assessment of Discharge Planning and the Prevention of Homelessness
Contents Introduction Key Research Questions Methods Key Findings Key Study Design and Measurement Issues Alternative Research Designs
ASPE Issue Brief
Overview of the Uninsured in the United States: An analysis of the 2005 Current Population Survey
According to the Census Bureau's 2005 Current Population Survey (CPS), 45.8 million individuals in 2004 or 15.7% of the civilian non-institutionalized population were uninsured. Those that lack insurance represent a diverse group. Understanding the uninsured population is important for policy makers looking to design solutions to the problem.
Developing A Risk Adjustment Methodology for Medicare Drug Plans
This paper describes the work NORC did to supplement the Federal Employee Health Benefits data (FEHBP) used to develop drug risk adjustment factors for over 65 individuals with a full drug supplement to Medicare. This data needed to be supplemented because the FEHBP data did not adequately represent, low-income, disabled, or non east Coast populations.
Rural Research Needs and Data Sources for Selected Human Services Topics
Contents The Rural Context Review of Existing Research on the Three Focal Topics Data Sources Available to Conduct Research on the Focal Topics Implications of Study Findings Enhancing Rural Hu