Predictive modeling of housing instability and homelessness in the Veterans Health Administration.

ABSTRACT:

Objective

To develop and test predictive models of housing instability and homelessness based on responses to a brief screening instrument administered throughout the Veterans Health Administration (VHA).

Data sources/study setting

Electronic medical record data from 5.8 million Veterans who responded to the VHA's Homelessness Screening Clinical Reminder (HSCR) between October 2012 and September 2015.

Study design

We randomly selected 80% of Veterans in our sample to develop predictive models. We evaluated the performance of both logistic regression and random forests-a machine learning algorithm-using the remaining 20% of cases.

Data collection/extraction methods

Data were extracted from two sources: VHA's Corporate Data Warehouse and National Homeless Registr

SUBMITTER: Byrne T 

PROVIDER: S-EPMC6338307 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature