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Children’s Mental Health Visits to the Emergency Department: Factors Affecting Wait Times and Length of Stay
Author(s) -
Amanda S. Newton,
Sachin Rathee,
Simran Grewal,
Nadia Dow,
Rhonda J. Rosychuk
Publication year - 2014
Publication title -
emergency medicine international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.484
H-Index - 4
eISSN - 2090-2859
pISSN - 2090-2840
DOI - 10.1155/2014/897904
Subject(s) - algorithm , triage , emergency department , logistic regression , medicine , machine learning , artificial intelligence , computer science , medical emergency , psychiatry
Objective . This study explores the association of patient and emergency department (ED) mental health visit characteristics with wait time and length of stay (LOS). Methods . We examined data from 580 ED mental health visits made to two urban EDs by children aged ≤18 years from April 1, 2004, to March 31, 2006. Logistic regressions identified characteristics associated with wait time and LOS using hazard ratios (HR) with 95% confidence intervals (CIs). Results . Sex (male: HR = 1.48, 95% CI = 1.20–1.84), ED type (pediatric ED: HR = 5.91, 95% CI = 4.16–8.39), and triage level (Canadian Triage and Acuity Scale (CTAS) 2: HR = 3.62, 95% CI = 2.24–5.85) were statistically significant predictors of wait time. ED type (pediatric ED: HR = 1.71, 95% CI = 1.18–2.46), triage level (CTAS 5: HR = 2.00, 95% CI = 1.15–3.48), number of consultations (HR = 0.46, 95% CI = 0.31–0.69), and number of laboratory investigations (HR = 0.75, 95% CI = 0.66–0.85) predicted LOS. Conclusions . Based on our results, quality improvement initiatives to reduce ED waits and LOS for pediatric mental health visits may consider monitoring triage processes and the availability, access, and/or time to receipt of specialty consultations.

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