ArticleBMC nursing2024
Factors influencing the classification accuracy of triage nurses in emergency department: analysis of triage nurses' characteristics.
Article in BMC nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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.
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Who cites it
7 citing papers in PubMed.
- Real-World Performance of a New Online Eye Symptom Triage Tool (Eye+Dot) in an Emergency Eye Clinic: Mixed Methods Evaluation Study.JMIR human factors · 2026Article
- Improving the Accuracy of ED Triage Using the Australasian Triage Scale: A Closed-Loop Quality Improvement Project.Cureus · 2026Article
- Is Artificial Intelligence Ready for Emergency Department Triage? A Retrospective Evaluation of Multiple Large Language Models in 39,375 Patients at a University Emergency Department.Journal of clinical medicine · 2026Article
- Latent profile analysis of emergency nurses' pre-triage competence and its associated factors: a multicenter cross-sectional study.Frontiers in medicine · 2026Article
- Article
- Safety and accuracy of AI in triaging patients in the emergency department.International journal of emergency medicine · 2025Article
- Emergency department's patient safety culture perceived by healthcare workers: A scoping review protocol.PloS one · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
backgroundTriage nurses play a vital role in emergency departments (Eds), with the accuracy of the triage nurse significantly impacting patient care and departmental efficiency. However, there is a lack of exploration into whether the time it takes for triage nurses to triage patients affects accuracy.
methodThis study analyzed the electronic medical records of 787 patients and the characteristics of triage nurses, using statistical methods to determine factors affecting classification accuracy. Data were collected from a single general hospital between November 1 and November 30, 2023.
resultsFindings revealed an 84.9% accuracy rate. Longer clinical experience (p = .001, CI = 1.094-2.052), as well as extended classification time (p = .002, CI = 1.338-2.916), significantly improved accuracy. Age and gender had no notable effect.
conclusionEnhancing triage nurse experience and allowing adequate classification time can improve accuracy, optimizing patient care and ED operations.
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Registered trials
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