Keywords
episodic homelessness
housing first
data analysis
Categories
How to Cite
Abstract
This paper explores how to best identify clients for housing services based on their homeless shelter access patterns. We utilize the number of shelter stays and episodes of shelter use for a client within a specified time window. Thresholds are then applied to these values to determine if that individual is a good candidate for housing support. Using new housing referral impact metrics, we explore a range of threshold and time window values to determine which combination both maximizes impact and identifies good candidates for housing as soon as possible. New insights are also provided regarding the characteristics of the “under-the-radar” client group who are typically not identified for housing support.
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Copyright (c) 2021 Geoffrey Messier, Leslie Tutty, Caleb John