This study examined models of integration and coordination of housing assistance services and HIV care. The final report describes findings from a quantitative analysis of national HIV housing assistance data, and highlights from case studies conducted at four Integrated HIV/AIDS Housing Plan (IHHP) projects funded by the U.S. Department of Housing and Urban Development (HUD).
Health & Health Care
ASPE produces health policy research with a focus on equity, coverage, and access. Find resources related to a broad range of topics, including the uninsured population, vaccine hesitancy, Medicaid/CHIP, Medicare, the federal marketplace (HealthCare.gov), telehealth, health care delivery, underserved areas, delivery system transformation, health outcomes, and social determinants of health.
Noteworthy Resources and Reports
Vaccine Hesitancy for COVID-19: State, County, and Local Estimates
To support state and local communication and outreach efforts, ASPE developed state, county, and sub-state level predictions of hesitancy rates using the most recently available federal survey data. Explore the interactive map and other resources.
Topic Areas
Reports
Displaying 721 - 730 of 1570. 10 per page. Page 73.
Advanced SearchIdentifying Medicare Beneficiaries with Disabilities: Improving on Claims-Based Algorithms - Executive Summary
Yonatan Ben-Shalom and David Stapleton Mathematica Policy Research
Children with Disabilities and Special Health Care Needs in NCQA-Recognized Patient-Centered Medical Homes: Health Care Utilization, Provider Perspectives and Parental Expectations - Executive Summary
Kate Stewart, Dana Petersen, Joe Zickafoose, Beny Wu, Mynti Hossain, Lisa Schottenfeld, Caroline Massad Francis, Randall Brown and Henry Ireys Mathematica Policy Research
Case Study
Strategies for Integrating and Coordinating Care for Behavioral Health Populations: Case Studies of Four States
Executive Summary
January 2014
Identifying Medicare Beneficiaries with Disabilities: Improving on Claims-Based Algorithms
In this report, we assessed the feasibility of using existing claims-based algorithms to identify community-dwelling Medicare beneficiaries with disability based solely on the conditions for which they are being treated and to improve the algorithms by combining them in predictive models. [39 PDF pages]