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Tag: Statistical Algorithm

The Work Behind Work: Combatting Homelessness with Jobs

February 14, 2024 / By Ana Alvarez, Daniel Flaming, Manuel Gomez, Seth Pickens / Eli and Edythe Broad Foundation

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. 

Photograph by Mark Boster, Los Angeles Times, "A police officer talks with a homeless woman on a downtown freeway overpass in March," 2016. Photograph originally accompanied the Los Angeles Times article "L.A. agrees to pay nearly $950,000 in two cases involving the homeless" by Emily Alpert Reyes, June 14, 2016.

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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