Background: Homelessness is associated with substantial morbidity. Data linkages between homeless and health systems are important to understand unique needs across homeless populations, identify homeless individuals not registered in homeless databases, quantify the impact of housing services on health-system use, and motivate health systems and payers to contribute to housing solutions.
Methods: We performed a cross-sectional survey including six health systems and two Homeless Management Information Systems (HMIS) in Cook County, Illinois.
Objectives: To compare the effectiveness of different models of permanent supportive housing (PSH), housing configuration, and service provision model on substance use, depression, and anxiety symptoms among residents over time.
Methods: Linear mixed model regression was used with 888 residents of PSH to investigate the relationship between supportive housing type, service model, and housing configuration and change in mental health and substance use at baseline, 6-, 12-, and 18-month follow-up.
Results: There were few significant differences in problematic substance use, depression, or anxiety symptoms among those in different PSH types, different housing configuration models, or different service provision models.