Trial reportBMC emergency medicine2024
Applying Sydney Triage to Admission Risk Tool (START) to improve patient flow in emergency departments: a multicentre randomised, implementation study.
Trial report in BMC emergency medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 0 citations in OpenAlex.
- Using Sydney Triage to Admission Risk Tool With Artificial Intelligence (START-AI) to Predict Inpatient Admitting Specialty for Emergency Department Patients: Single Centre Deep Learning Analysis.Emergency medicine Australasia : EMA · 2026Article
- The Sydney Triage to Admission Risk Tool With Artificial Intelligence (START-AI) to Support Decision Making in Emergency Departments: Model Explainability and Feature Importance Analysis.Emergency medicine Australasia : EMA · 2026Article
- Assessment of Sydney Triage to Admission Risk Tool (START) on Egyptian Emergency Department performance.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2026Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo determine the effectiveness of applying the Sydney Triage to Admission Risk Tool (START) in conjunction with senior early assessment in different Emergency Departments (EDs).
methodsThis multicentre implementation study, conducted in two metropolitan EDs, used a convenience sample of ED patients. Patients who were admitted, after presenting to both EDs, and were assessed using the existing senior ED clinician assessment, were included in the study. Patients in the intervention group were assessed with the assistance of START, while patients in the control group were assessed without the assistance of START. Outcomes measured were ED length of stay and proportion of patients correctly identified as an in-patient admission by START.
resultsA total of 773 patients were evaluated using the START tool at triage across both sites (Intervention group n = 355 and control group n = 418 patients). The proportion of patients meeting the 4-hour length of stay thresholds was similar between the intervention and control groups (30.1% vs. 28.2%; p = 0.62). The intervention group was associated with a reduced ED length of stay when compared to the control group (351 min, interquartile range (IQR) 221.0-565.0 min versus 383 min, IQR 229.25-580.0 min; p = 0.85). When stratified into admitted and discharged patients, similar results were seen.
conclusionIn this extension of the START model of care implementation study in two metropolitan EDs, START, when used in conjunction with senior early assessment was associated with some reduced ED length of stay.
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