Transitions between Housing States among Urban Homeless Adults: a Bayesian Markov Model.

The purpose of this study is to explore how marginalization, substance abuse, and service utilization influence the transitions between streets, shelters, and housed states over the course of 2 years in a population of urban homeless adults. Survey responses from three yearly interviews of 400 homeless adults were matched with administrative services data collected from regional health, mental health, and housing service providers. To estimate the rates of transition between housed, street, and shelter status, a multi-state Markov model was developed within a Bayesian framework. These transition rates were then regressed on a set of independent variables measuring demographics, marginalization, substance abuse, and service utilization. Transitions from housing to shelters or streets were associated with not being from the local area, not having friends or family to count on, and unemployment. Pending charges and a recent history of being robbed were associated with the shelters-to-streets transition. Remaining on the streets was uniquely associated with engagement in "shadow work" and, surprisingly, a high use of routine services. These findings paint a picture of unique and separate processes for different types of housing transitions. These results reinforce the importance of focusing interventions on the needs of these unique housing transitions, paying particular attention to prior housing patterns, substance abuse, and the different ways that homeless adults are marginalized in our society.

The neighborhood context of homelessness.

OBJECTIVES: We examined and compared the changing neighborhood characteristics of a group of homeless adults over time. METHODS: We collected the addresses of previous housing and sleep locations from a longitudinal study of 400 homeless adults in the St. Louis, Missouri, region and compared census measures of housing and economic opportunities at different points along individual pathways from housing to homelessness and at 1- and 2-year follow-up interviews. RESULTS: Sleep locations of homeless adults were much more concentrated in the urban core at baseline than were their previous housed and follow-up locations. These core areas had higher poverty, unemployment, and rent-to-income ratios and lower median incomes. CONCLUSIONS: The spatial concentration of homeless adults in areas with fewer opportunities and more economic and housing distress may present additional barriers to regaining stable housing and employment. A big-picture spatial and time-course viewpoint is critical for both policymakers and future homelessness researchers.

Availability of outpatient substance use disorder treatment programs in the United States.

The purpose of this study was to examine the availability of outpatient substance use disorder (SUD) treatment programs in the United States. A geographic information system (GIS) was used to spatially locate outpatient SUD treatment programs, calculate areas, and determine population density within specific areas. Urban areas were mapped using data from the US Census (2000). Addresses of outpatient SUD treatment programs were obtained from the Facility Locator Web site of the Substance Abuse and Mental Health Services Administration. A 15-mile service catchment around each outpatient SUD treatment program was drawn. The amount of urban area not covered by the service catchment represents the underserved. Total underserved urban area and population without access was computed for each state. Significant variability of underserved urban area and population was observed across the states. Moderate correlations among area and population suggest that some states are more effective in locating SUD treatment programs than other states.

Ethnic differences in delays to treatment for substance use disorders: African Americans, Black Caribbeans and non-Hispanic whites.

Prior research has shown that minority groups experience greater levels of disability associated with psychiatric and substance use conditions due to barriers to treatment. Treatment delays are an important part of the overall problem of service utilization and access to treatment, yet little work has been done to understand the factors associated with treatment delays among ethnic minorities. This study compares African Americans, Caribbean Blacks and non-Hispanic Whites regarding their probability of making treatment contacts over time, using a combined sample of African Americans and Caribbean Blacks from the National Survey of American Life (NSAL) and non-Hispanic Whites from the National Comorbidity Survey-Replication (NCS-R). Alcohol and other drug use disorders (abuse and dependence) were assessed using the World Mental Health Composite International Diagnostic Interview. Cumulative lifetime probability curves were used to examine race differences in treatment contact. Cox regression analysis was used to test the association between race and treatment groups while controlling for other potential confounding variables. Significant delays in making treatment contact were observed across all disorders. However, no evidence of delays was found for racial differences. In the multivariate analysis, race was not significantly associated with delays. However, comorbid anxiety disorders were found to be a consistent factor associated with a faster time to treatment.

Modeling the mental health effects of victimization among homeless persons.

Homeless persons are victims of violent and non-violent crime at higher rates than housed populations. While studies have suggested that victimization can induce or exacerbate mental health problems, there is very little known about factors that may buffer the effects of victimization. This cross-sectional study examined the influence of victimization on depressive symptoms in over 9600 homeless and mentally ill adults participating in the Access to Community Care and Effective Services and Supports study (ACCESS) conducted in multiple cities across the USA relationships between victimization, depressive symptoms, and perceived safety were tested within a structural equation modeling framework using data collected at the baseline interview. The overall model exhibited a good fit with the data. Non-physical victimization was associated with higher levels of depressive symptoms, and physical victimization was associated with lower levels of perceived safety. As hypothesized, perceived safety was a significant partial mediator of depressive symptoms. These results underscore the complexity of the relationships between victimization and depression in homeless adults and the importance of addressing different types of victimization in homeless and mentally ill adults.