Human Services

Nursing homes experienced unprecedented financial challenges during the COVID-19 pandemic, raising concerns about a potential increase in nursing home closures.

Nursing homes have been disproportionately impacted by COVID-19. The purpose of this study was to examine whether there were racial, ethnic, and socioeconomic differences in COVID-19 infection and mortality rates at both the nursing home resident and nursing home facility levels. The study includes national data on COVID-19 outcomes for nursing home residents through the end of June 2021.

In October 2022, ASPE convened a virtual technical expert panel (TEP) to discuss policy options that encourage interstate licensure among behavioral health providers.

Linking data across public systems is beneficial for a multitude of reasons including care coordination, improving research on populations engaged with multiple public services, and improving program integrity.

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.

A 2020 study examined the feasibility of using substance use disorder (SUD) patient intake assessment data as source of information for treatment planning.

The Office of the Assistant Secretary for Planning and Evaluation in the U.S. Department of Health and Human Services has been working with researchers, human services agency leaders, and persons with lived experience to visualize, describe, and document models of primary prevention within human services.

This one-pager describes the research questions and objectives of a project exploring the use of custody relinquishment, or when children enter foster care primarily to obtain behavioral health or disability services.

This two-pager describes several child welfare and Medicaid data linking projects and lessons learned from those projects. For example, the brief highlights key lessons such as the value in providing states with support in navigating data governance and in strengthening and harmonizing data infrastructure on child welfare service.

This environmental scan, conducted by Mathematica and funded by ASPE, examines the types of direct and direct costs to patients associated with clinical trial participation. It also explores the effect of COVID-19 on costs to patients, including cost implications of clinical trial innovations widely implemented during COVID-19 and other efforts to increase diversity of clinical trials.