Trial reportScandinavian journal of trauma, resuscitation and emergency medicine2016
The Copenhagen Triage Algorithm: a randomized controlled trial.
Trial report in Scandinavian journal of trauma, resuscitation and emergency medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02698319 (The Copenhagen Triage Algorithm), which is not on this map. Cited by 6 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.
The Copenhagen Triage Algorithm
Who cites it
6 citing papers in PubMed, 11 citations in OpenAlex.
- Trial
- The Copenhagen Triage Algorithm is non-inferior to a traditional triage algorithm: A cluster-randomized study.PloS one · 2019Trial
- Strengthening the WHO Emergency Care Systems Framework: insights from an integrated, patient-centered approach in the Copenhagen Emergency Medical Services system-a qualitative system analysis.BMC health services research · 2025Article
- An updated national survey of triage and triage related work in Sweden: a cross-sectional descriptive and comparative study.Scandinavian journal of trauma, resuscitation and emergency medicine · 2021Article
- Utility of multiple rule out CT screening of high-risk atraumatic patients in an emergency department-a feasibility study.Emergency radiology · 2018Article
- Acceptability Among Frontline Staff Toward Distributing an Anonymous Alcohol Survey in Emergency Departments: A Mixed Methods Study.Journal of addictions nursingArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCrowding in the emergency department (ED) is a well-known problem resulting in an increased risk of adverse outcomes. Effective triage might counteract this problem by identifying the sickest patients and ensuring early treatment. In the last two decades, systematic triage has become the standard in ED's worldwide. However, triage models are also time consuming, supported by limited evidence and could potentially be of more harm than benefit. The aim of this study is to develop a quicker triage model using data from a large cohort of unselected ED patients and evaluate if this new model is non-inferior to an existing triage model in a prospective randomized trial.
methodsThe Copenhagen Triage Algorithm (CTA) study is a prospective two-center, cluster-randomized, cross-over, non-inferiority trial comparing CTA to the Danish Emergency Process Triage (DEPT). We include patients ≥16 years (n = 50.000) admitted to the ED in two large acute hospitals. Centers are randomly assigned to perform either CTA or DEPT triage first and then use the other triage model in the last time period. The CTA stratifies patients into 5 acuity levels in two steps. First, a scoring chart based on vital values is used to classify patients in an immediate category. Second, a clinical assessment by the ED nurse can alter the result suggested by the score up to two categories up or one down. The primary end-point is 30-day mortality and secondary end-points are length of stay, time to treatment, admission to intensive care unit, and readmission within 30 days. DISCUSSION: If proven non-inferior to standard DEPT triage, CTA will be a faster and simpler triage model that is still able to detect the critically ill. Simplifying triage will lessen the burden for the ED staff and possibly allow faster treatment.
trial registrationClinicaltrials.gov: NCT02698319 , registered 24. of February 2016, retrospectively registered.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.