Health services research · 2021
Development of a homelessness risk screening tool for emergency department patients.
СтатьяПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Doran Kelly M, Johns Eileen, Zuiderveen Sara, Shinn Marybeth, Dinan Kinsey, Schretzman Maryanne, Gelberg Lillian, Culhane Dennis, Shelley Donna, Mijanovich Tod
Аннотация
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.
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.