What are examples of data-driven methods to identify whether or not a household has severe service needs?

Date Published: March 2015

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The Prioritization Notice states that a household is considered to have severe service needs if they have a history of high utilization of crisis services and/or have significant health or behavioral health challenges or functional impairments which require a significant level of support in order to maintain housing. The Prioritization Notice goes on to say that severe service needs should be verified through data-driven methods or through the use of an assessment tool.

One example of a data-driven method is to conduct data matches using administrative data from hospitals, mental health systems, jails, or similar systems to spot frequent users and generate a list of priority individuals. This list can be cross-referenced with the current shelter census or other crisis service settings to locate and assertively engage potential program participants.

Another data-based strategy for targeting services is to use de-identified administrative data to develop predictive models that can be used in multiple venues to identify persons at highest risk of long-term homelessness and repeat hospitalization, recidivism or chronic child welfare involvement.

The United States Interagency Council on Homelessness has developed a resource that highlights these strategies in practice called Spotlight on Innovation: Communities Leading the Way on Prioritization.

Tags: CoC Permanent Supportive Housing

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