Abstract
Objective: To develop a screening tool to identify emergency department (ED) patients at risk of entering a homeless shelter, which could inform targeting of interventions to prevent future homelessness episodes. Data sources: Linked data from (1) ED patient baseline questionnaires and (2) citywide administrative homeless shelter database. Study design: Stakeholder-informed predictive modeling utilizing ED patient questionnaires linked with prospective shelter administrative data. The outcome was shelter entry documented in administrative data within 6 months following the baseline ED visit. Exposures were responses to questions on homelessness risk factors from baseline questionnaires. Data collection/extraction methods: Research assistants completed questionnaires with randomly sampled ED patients who were medically stable, not in police/prison custody, and spoke English or Spanish. Questionnaires were linked to administrative data using deterministic and probabilistic matching. Principal findings: Of 1993 ED patients who were not homeless at baseline, 5.6% entered a shelter in the next 6 months. A screening tool consisting of two measures of past shelter use and one of past criminal justice involvement had 83.0% sensitivity and 20.4% positive predictive value for future shelter entry. Conclusions: Our study demonstrates the potential of using cross-sector data to improve hospital initiatives to address patients' social needs.
Original language | English (US) |
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Pages (from-to) | 285-293 |
Number of pages | 9 |
Journal | Health Services Research |
Volume | 57 |
Issue number | 2 |
DOIs | |
State | Published - Apr 2022 |
Keywords
- delivery of health care
- emergency service
- homeless persons
- hospital
- housing
- social problems
ASJC Scopus subject areas
- Health Policy