Preventive vs. Remedial Screening Tools The Economic Roundtable has developed five predictive screening tools to identify and prioritize high-need homeless individuals who will have high future public costs because of ongoing crises in their lives that are resolved in expensive institutional settings, including jails and hospitals.
Breaking the Fall – Covid Interventions Prevented Homelessness Struggling workers are either everyone’s responsibility now or everyone’s problem later. When poorly paid workers become jobless at the thin edge of the job market and then unable to pay rent, homeless destitution follows. In fact, we are equipped with the tools we need to protect workers from the sharper edges of joblessness and to combat homelessness.
COVID-driven loss of jobs and employment income will cause the number of homeless workers to increase each year through 2023. Without large-scale, government employment programs the Pandemic Recession is projected to cause twice as much homelessness as the 2008 Great Recession. The Economic Roundtable used data from the 2008 Great Recession to estimate the linkage between job loss and homelessness and forecast the amount and type of pandemic-driven homelessness in Los Angeles, California and the United States.
In major U.S. metropolitan areas, the number of long-term homeless needing housing far exceeds the available housing supply, making it difficult to move persistently homeless individuals off of the streets. One of the most promising approaches to reducing these numbers lies in early identification and quick, effective intervention to help those most likely to become persistently homeless. Two new screening tools from the Economic Roundtable can help the most vulnerable people get access to the public services they need as soon as they become homeless, or even before they are homeless, and reduce the flow of people into chronic homelessness.
This streamlined triage tool was developed for the Santa Clara County Center for Population Health Improvement (CPHI). It provides an empirical tool for prioritizing patients for permanent supportive housing using close-to-real-time data that is available to CPHI. In addition, an industry-wide switch in medical diagnostic classification systems necessitated a conversion of all diagnostic variables from the ICD-9 classification system to the ICD-10 system.