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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 51 - 60 of 393. 10 per page. Page 6.

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Report

Implementing and Sustaining Zero Suicide: Health Care System Efforts to Prevent Suicide

Zero Suicide is a system-wide approach for health systems to improve the quality and safety of care for those at risk of suicide, with the underlying goal of preventing all suicide deaths among patients. Although evidence has indicated that Zero Suicide is effective in reducing suicide-related outcomes, little is known about how organizations fund and sustain the Zero Suicide initiative.
ASPE Data Point

How Many People that Receive One Safety Net Benefit Also Receive Others

People facing economic instability often need more than one program or service. This pre-pandemic analysis looks at the reach of the social safety net, including the interaction of specific programs, to better understand program participation as the economy continues to recover. Key Points:
Policy Brief

Linking Child Welfare and Medicaid Data: Lessons Learned from Two States

This report provides information to state, tribal, and local child welfare and behavioral health agencies that are interested in linking their Medicaid and child welfare data.
Guide

Tips on Engaging Diverse Groups of External Partners

This tip sheet provides key considerations for how organizations can identify potential diverse external partners, conduct outreach to them, and build and sustain productive relationships with them.
Guide

Guide on Advancing Equity through Quantitative Analysis

This guide explores opportunities to advance equity in quantitative analysis, including by recognizing common biases (e.g., research and measurement bias) and discussing specific quantitative methods and tools to help quantitative analyses address equity.
Guide

Tips on Equitable Communication

This tip sheet highlights the importance of using equitable communication and includes tips, guiding questions, and additional resources. The information is organized around three key strategies for equitable communication:
Guide

Guide on Advancing Equity by Incorporating Intersectionality in Research and Analysis

This guide explores intersectionality and why it is essential for advancing equity. It explores strategies for planning and conducting research with an intersectional lens, describes quantitative measures and methods to examine differences across groups of people with intersecting identities, and provides key considerations for using qualitative data to better understand intersectionality.
Guide

In-Depth Equity Assessment Guide

This tool describes how to conduct intensive equity assessments of existing programs, policies, and processes. The tool first describes the scoping work that needs to be done before conducting an equity assessment and then describes and provides guiding questions for each of the six steps in the in-depth equity assessment process. Those six steps are:
Report

Synthetic Data in Health Care: A Narrative Review

ASPE recently published a narrative review in PLOS Digital Health exploring how synthetic data are being used. Researchers searched published literature and known, publicly available synthetic datasets.
Guide

Equity Assessment Tip Sheet

This tool describes the six steps for conducting equity assessments and provides tips for completing each step. Although specific steps vary by equity assessment tool and context, core steps include: