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
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 151 - 160 of 393. 10 per page. Page 16.
Advanced SearchEvaluation 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.
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.
White Paper
Strategies for Measuring the Quality of Psychotherapy: A White Paper to Inform Measure Development and Implementation
Strategies for Measuring the Quality of Psychotherapy: A White Paper to Inform Measure Development and Implementation
Executive Summary
May 15, 2014
Jonathan Brown, Sarah Hudson Scholle and Melissa Azur
M
Effectiveness of Alternative Ways of Implementing Care Management Components in Medicare D-SNPs: The Brand New Day Study - Executive Summary
Jelena Zurovac, Randy Brown, Bob Schmitz and Richard Chapman Mathematica Policy Research January 2014
Literature Review
Evaluating PACE: A Review of the Literature - Executive Summary
Arkadipta Ghosh, Cara Orfield and Robert Schmitz Mathematica Policy Research January 2014
Effectiveness of Alternative Ways of Implementing Care Management Components in Medicare DSNPs:The Brand New Day Study
Little information exists on how to design various components of care coordination interventions for complex patients to reduce patients’ needs for hospitalizations or emergency room use. Efficient orthogonal design--a methodology widely used in manufacturing and marketing, but rarely used in
Identifying Medicare Beneficiaries with Disabilities: Improving on Claims-Based Algorithms
In this report, we assessed the feasibility of using existing claims-based algorithms to identify community-dwelling Medicare beneficiaries with disability based solely on the conditions for which they are being treated and to improve the algorithms by combining them in predictive models. [39 PDF pages]