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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. 

Reports

Displaying 121 - 130 of 393. 10 per page. Page 13.

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An Overview of Long-Term Services and Supports and Medicaid: Final Report

Nga T. Thach, BS, and Joshua M. Wiener, PhD RTI International May 2018 Printer Friendly Version in PDF Format (34 PDF pages)

2017 Annual Report of HHS Projects to Build Data Capacity for Patient-Centered Outcomes Research

The OS PCORTF Annual Report provides project descriptions for each of the OS-PCORTF portfolio’s 21 projects that were active in calendar year 2017.

Substance Use, the Opioid Epidemic and the Child Welfare Caseloads: Methodological Details from a Mixed Methods Study

This brief describes the research methods used to produce the findings in Substance Use, the Opioid Epidemic, and Child Welfare Caseloads: A Mixed Methods Study. It is a part of a series of briefs that discuss different aspects and issues surrounding the relationship between substance use disorders and the child welfare system.

Predictive Analytics in Child Welfare: Considerations in Contracting Vendors for Predictive Analytics

An increasing number of child welfare agencies are considering using predictive analytics in their work. Typically they do so by contracting with a vendor to develop and maintain a predictive analytics model that is used by the agency to predict risk of a specified outcome.

Development and Testing of Behavioral Health Quality Measures for Health Plans: Final Report

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.

Substance 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 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.

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.

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]