Program Evaluation

Assisted outpatient treatment (AOT) is a civil court procedure whereby a judge orders an adult with serious mental illness (SMI) to comply with community-based treatment. Developed as a less restrictive alternative to involuntary hospitalization, AOT focuses on individuals at risk of clinical deterioration or rehospitalization because they do not voluntarily comply with prescribed treatment.

Health and human services policies and programs have wide-ranging effects on individuals and communities which can facilitate optimal health and well-being or impose harm, particularly for historically underserved communities.

The calculation of behavioral health quality measures at the clinic level holds great promise for monitoring clinic performance over time, and for providing information for clinics to use to revise their processes and procedures to improve their performance.

The FY 2025 HHS Evaluation Plan details the Department of Health and Human Services’ (HHS) efforts to answer the priority questions presented in the current HHS Evidence Building Plan. This plan provides both an overview of HHS evaluation activities planned for FY 2025 and detailed information for each new and continuing evaluation effort.

The U.S. Department of Health and Human Services (HHS) analyzes the benefits, costs, and other impacts of significant proposed and final rulemakings, consistent with the requirements of several executive orders and statutes. HHS develops these analyses according to technical guidance published by the U.S.

The Fiscal Year (FY) HHS 2024 Evaluation plan lists a total of thirty-two (32) evaluations from ten (10) Operating and Staff Divisions across the U.S. Department of Health and Human Services (HHS).

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.

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.

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.

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: