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Tag: disability

The Work Behind Work: Combatting Homelessness with Jobs

February 14, 2024 / By Seth Pickens, Daniel Flaming, Manuel Gomez and Ana Alvarez

The most common reason unhoused individuals give for why they do not have a place of their own to live is unemployment and lack of income. Homelessness is primarily a problem of income. Upstream interventions that lead to employment will significantly reduce the number of men, women and children who experience homelessness.

Recognizing and Helping High-Need Homeless Individuals: Five Homeless Predictive Screening Tools

March 2, 2023 / By Daniel Flaming / Economic Roundtable

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. 

Early Intervention to Prevent Persistent Homelessness: Predictive Models for Identifying Unemployed Workers and Young Adults who become Persistently Homeless

March 19, 2019 / By Halil Toros, Daniel Flaming and Patrick Burns / The John Randolph Haynes Foundation

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.

Interactive Tool for Visualizing Data from Los Angeles Homeless Counts in 2016 and 2017

September 1, 2018 / By Paul Beeman / Economic Roundtable

User options for visualizing homeless data include comparing results from 2016 and 2017 for everyone who was homeless or for individuals who were sheltered or unsheltered, and subgroups broken out by gender, ethnicity, age, as well as a menu of detailed population characteristics. Results that can be compared include the size of each population group in 2016 and 2017, as well as the reasons people in each group gave for the cause of their homelessness, and their employment status. 

Model-Based Triage of Permanent Supportive Housing: Improving the Allocation of Supportive Housing Resources

July 1, 2018 / By Jane Carlen, Halil Toros and Daniel Flaming / Santa Clara County Center for Population Health Improvement (CPHI)

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. 

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