Stakeholders, researchers, and policymakers have identified varying nursing home ownership structures and ownership transactions as potentially influencing the quality of care delivered to vulnerable residents.
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 21 - 30 of 614. 10 per page. Page 3.
Advanced SearchResearch Brief
Trends in Ownership Structures of U.S. Nursing Homes and the Relationship with Facility Traits and Quality of Care (2013-2022)
Research Brief
Behavioral Health Diagnoses and Treatment Services for Children Involved with the Child Welfare System
This research brief uses claims data from the Medicaid and Children's Health Insurance Programs to examine the behavioral health diagnoses and treatment services received by children and youth involved with the child welfare system in 2019.
Report
State All Payer Claims Databases: Identifying Challenges and Opportunities for Conducting Patient-Centered Outcomes Research and Multi-State Studies
This report is the third in a series of reports commissioned by the Office of the Assistant Secretary for Planning and Evaluation (ASPE) from the RAND Corporation addressing state all payer claims databases (APCDs). APCDs include medical, pharmacy, and dental claims, as well as enrollment and provider files collected from private and public payers by states, usually as part of a State mandate.
Policy Brief
Refugee and Asylee Data on the Utilization of Medicaid
This brief describes a joint project of the ASPE and the Office of Refugee Resettlement in the Administration for Children and Families to enhance the data infrastructure of agencies managing refugees and Medicaid services. This project is funded by the Patient-Centered Outcomes Research Trust Fund.
Report
Linking State Medicaid Data and Birth Certificates For Maternal Health Research
This report presents the set of guiding principles for linking state Medicaid data with birth certificates that was developed by state and national experts and leaders. These guiding principles can be implemented to create a multistate linked database that researchers would be able to access and use for research on maternal health, including patient-centered outcomes research (PCOR).
ASPE Issue Brief
Identifying and Classifying Medicaid Home and Community-Based Services Claims in the Transformed Medicaid Statistical Information System, 2016-2020 Issue Brief
Home and community-based services (HCBS) are a range of medical and non-medical services provided in the home and community that support individuals with functional limitations, enabling them to reside in the community rather than in institutional settings.
Report
Reviewing, Refining, and Validating Claims-Based Algorithms of Frailty and Functional Impairment
This report describes validation of claims-based frailty algorithms for potential use in Medicare claims.
Related Products:
Report, Research Summary
EHR Implementation Guide – Identifying Frailty Using Existing Health Data: Challenges and Opportunities for Health Systems
RAND identified use cases on identifying frailty using electronic health record (EHR) data in health systems in the US and examples from other countries, which demonstrate applications in both primary and specialist care. The final EHR implementation guide summarizes the learnings from participants in the EHR Learning Network and the identified use cases.
Report
Trustworthy Artificial Intelligence (TAI) for Patient-Centered Outcomes Research (PCOR)
The rise of artificial intelligence (AI) in health care and health care research has stimulated discussion on the application of trustworthy principles for AI. This report summarizes 15 considerations and 14 opportunities for the implementation of HHS’s trustworthy AI principles in patient-centered outcomes research projects that incorporate AI technology.
Fact Sheet
Inflation Reduction Act Research Series: Projected Impacts for Asian, Black, and Latino Medicare Enrollees
The Inflation Reduction Act (IRA) is helping people with Medicare afford their medications, including the 2.1 million Asian, 5.8 million Black, and 5.3 million Latino Part D enrollees. These fact sheets review existing research to present the projected impacts of key IRA Medicare drug-related provisions for these populations.