Many people with behavioral health disorders receive suboptimal care and suffer poor health outcomes, including premature death. States, health plans, providers, and other stakeholders need a strong set of measures targeting this population to improve the quality of their care.
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 111 - 120 of 380. 10 per page. Page 12.
Advanced SearchSubstance Use, the Opioid Epidemic and the Child Welfare System: Key Findings from a Mixed Methods Study
This study examined the relationship between parental substance misuse and child welfare caseloads, which began rising in 2012 after more than a decade of decline.
Estimating Medical Costs for Regulatory Benefit-Cost Analysis: Conceptual Framework and Best Practices
The U.S. Department of Health and Human Services (HHS) is required to assess the benefits and costs of its major regulations prior to promulgation. To support these assessments, in 2016 HHS issued its Guidelines for Regulatory Impact Analyses, developed under the leadership of its Office of the Assistant Secretary for Planning and Evaluation and its Department-wide Analytics Team.
Predictive Analytics in Child Welfare: An Assessment of Current Efforts, Challenges and Opportunities
Child welfare agencies are interested in leveraging new and emerging techniques to help them harness data and technology to make dramatic improvements to child welfare practice and ultimately produce better outcomes for children and families.
Predictive Analytics in Child Welfare: An Introduction for Administrators and Policy Makers
This document introduces child welfare administrators and policy makers to the benefits and challenges faced in using predictive analytics to improve child welfare practice.
Support and Services at Home (SASH) Evaluation: Evaluation of the First Four Years
This evaluation report describes the implementation and impacts of a program intended to improve health status and slow the growth of health care expenditures among older adults living in affordable housing properties. The Support and Services at Home (SASH) program connects participants with community-based services and promotes coordination of health care.
Support and Services at Home (SASH) Evaluation: Highlights from the First Four Years Research Summary
This Research Summary describes the primary features of the SASH program and summarizes the main findings of the evaluation to date. [7 PDF pages]
Guidelines For Regulatory Impact Analysis: A Primer
Regulatory impact analyses (RIAs) apply a well-established and widely-used framework for collecting, organizing, and evaluating data on the anticipated consequences of alternative policies.