Title : Following Admission to Discharge Analyzing Treatment Episode Dataset for Homelessness Risk
Abstract:
One in five homeless people in the United States has a substance use and/or a mental health disorder. Substance use disorders substantially impact the ability to obtain and retain appropriate housing. Conversly, lack of adequate housing interferes with recovery. Professionals who provide substance use treatment are typically required to provide housing assistance by prioritizing clients according to their risk for becoming or remaining homeless. However, existing methods for prioritizing clients can be time-consuming and staff- and training-intensive. This study analysed the potential use of variables from locally collected and readily available treatment admission records to prioritize clients needing housing assistance or identify clients for referral to additional housing assessment or resource providers.
This study analysed county-level substance use treatment admission and discharge records of 1862 treatment episodes for 1642 clients in publicly funded treatment programs in Utah County, Utah. For at least one admission or discharge, 185 clients lived on the streets or in a homeless shelter. More than half (55%) of treatment episodes that ended in homelessness at discharge did not originally begin with clients being homeless, suggesting a gap in prioritizing individuals for housing assistance. Logistic regression showed statistically significant associations between eventually becoming homeless at the time of discharge and being originally homeless on admission; older age (45?years or older); methamphetamine as primary drug used; and a diagnosis of axis I/II psychiatric disorder besides substance use disorder. These findings suggest that local and routinely collected substance use treatment records may be predictive of homelessness and potentially useful in prioritizing clients for housing assistance.
