ABSTRACT
Communicating necessary and timely information to providers across the continuum of care is central to providing coordinated care. This report focuses on the information exchange processes of integrated care models that provide care for populations with long-term service and support (LTSS) needs.
Evaluation
Evaluation and analysis provide essential evidence for HHS to understand how its programs work, for whom, and under what circumstances. HHS builds evidence through evaluation and analysis in order to inform decisions in budget, legislative, regulatory, strategic planning, program, and policy arenas. Given the breadth of work supported by HHS, many evaluations and analyses are conducted each year. These efforts range in scope, scale, design, and methodology, but all aim to understand how the effect of programs and policies and how they can be improved.
Across HHS, evaluation comes in many forms, including:
- Program evaluations using the most rigorous designs appropriate;
- Capacity-building initiatives to improve administrative data collection, accessibility, and use for management;
- Exploratory and preliminary quantitative and qualitative analysis to build evidence;
- Pilots and demonstrations; and
- Statistical analysis of factors related to health and human services programs and policies.
ASPE coordinates the evaluation community by regularly convening the HHS Evaluation & Evidence Policy Council, which builds capacity by sharing best practices and promising new approaches across HHS.
Noteworthy
Reports
Displaying 131 - 140 of 380. 10 per page. Page 14.
Advanced SearchDevelopment of Quality Measures for Inpatient Psychiatric Facilities: Final Report
Randall Blair, Junqing Liu, Miriam Rosenau, Michael Brannan, Natalie Hazelwood, Kelsey Farson Gray, Jonathan Brown, Eric Morris, Alyssa Hart, Kenneth Jackson, Angela Schmitt, Katherine Sobel, Mary Barton, Milesh Patel, Allison Siegwarth, Xiao Barry, and Stephanie Rodriguez Mathematica Policy Research
Development of Quality Measures for Inpatient Psychiatric Facilities: Final Report - Executive Summary
February 4, 2015 Randall Blair, Junqing Liu, Miriam Rosenau, Michael Brannan, Natalie Hazelwood, Kelsey Farson Gray, Jonathan Brown, Eric Morris, Alyssa Hart, Kenneth Jackson, Angela Schmitt, Katherine Sobel, Mary Barton, Milesh Patel, Allison Siegwarth, Xiao Barry, and Stephanie Rodriguez Mathematic
Minimizing Disclosure Risk in HHS Open Data Initiatives
Federal agencies have a long history of releasing data to the public, and they also have a legal obligation to protect the confidentiality of the individuals and organizations from which the data were collected. Federal agencies have successfully balanced these two objectives for decades.
Support and Services at Home (SASH) Evaluation: First Annual Report
September 2014 RTI International Abstract The Support and Services at Home (SASH) program in Vermont is a subcomponent of a larger Medicare demonstration--the Multi-payer Advanced Primary Ca
Evaluation of the Strong Cities, Strong Communities (SC2) Teams Pilot: Final Report
The Strong Cities, Strong Communities Initiative (SC2) is a new interagency approach to partnering with cities for economic growth launched by the White House Domestic Policy Council in 2011.
Evaluation of the Strong Cities, Strong Communities (SC2) Teams Pilot: Building a More Responsive Federal Workforce: Lessons from the SC2 Pilot
In 2011, the U.S. federal government launched the Strong Cities, Strong Communities Initiative, a new model of federal-local collaboration designed to (i) improve how the federal government invests in cities, (ii) offer technical assistance to support local priorities, and (iii) help to coordinate funds at the local, state, and federal level.
Evaluation of the Strong Cities, Strong Communities (SC2) Teams Pilot: Federal Role in Revitalizing Distressed Cities: Interagency Collaboration and Local Partnerships
The federal government has historically invested significant resources in the nation’s distressed cities. However, the benefits of these investments have often not been fully realized.