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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 281 - 290 of 641. 10 per page. Page 29.

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ASPE Issue Brief

How States can Implement the Standardized Modified Adjusted Gross Income (MAGI) Conversion Methodology from State Medicaid and CHIP Data

This document explains various considerations for states deciding between SIPP and state administrative data, how to use the eligibility templates provided by CMS for the MAGI-based eligibility conversion process, and the steps that states wishing to perform the conversions using state Medicaid and CHIP data will need to follow.

Assessing the Status and Prospects of State and Local Health Department Information Technology Infrastructure

ASPE REPORT Assessing the Status and Prospects of State and Local Health Department Information Technology Infrastructure January 2013 By: NORC at the University of Chicago Abstract

In the Running for Successful Outcomes: Exploring the evidence for Thresholds of School Readiness Technical Report

This study represents a multi-method approach to examining the evidence for thresholds in the association between children's school readiness and subsequent academic, social and emotional outcomes, both within and across domains. In addition to a literature review, multiple analytical methods were applied to two national data sets to examine these issues.

Information on Poverty and Income Statistics: A Summary of 2012 Current Population Survey Data

ASPE ISSUE BRIEF By: ASPE Human Services Policy Staff Abstract

Evaluation Planning and Tools for Front of Package Nutrition Labeling. Final Report

Front-of-package (FOP) nutrition labeling systems are tools that can help consumers choose healthy diets consistent with the Dietary Guidelines for Americans. It is expected that consumers’ use of nutrition information when making food purchasing decisions will improve their dietary choices and result in their reduced risk of obesity and chronic diseases.