CommentaryChallenges in the validation of triage systems at emergency departments
Introduction
Triage aims to determine the clinical priority of patients based on their presenting features. The objective is to decrease morbidity and mortality. Triage systems have to identify patients who need immediate attention on one hand but also to recognize patients who can safely wait or may not need emergency care at all on the other hand. The Manchester Triage System (MTS), the Canadian Triage and Acuity Scale (CTAS) and the Emergency Severity Index (ESI) Score, and the Australasian Triage Scales are the most commonly used triage systems in emergency departments (EDs) for children and adults [1], [2], [3], [4], [5], [6], [7].
All triage systems are based on consensus opinion of experts. The experts design decision trees to support clinical risk assessment or predictions of resource use to define urgency levels. Triage systems have to be simple to allow nurses to quickly assess the patient and have to be applicable for the broad population with a large variability in signs and symptoms in the emergency care setting.
The evaluation of triage systems involves assessment of reliability and validity. Reliability refers to the degree of intraobserver variability and interobserver variability. The validity refers to the degree to which the triage system predicts the “true” urgency. The internal validity is based on studies in a single setting (typically, the setting that was involved in the development or modification of that system). The external validity is based on studies in different settings. Most studies on triage systems focus on the interrater agreement [7], [8], [9], [10]. The results of the interrater agreement studies depend on the unambiguousness and completeness of the system and the accuracy of the nurse. The extensive use of triage systems in daily practice at ED and general practitioner out of hours offices contrasts sharply with the limited number of studies that validate triage systems. The validity of the MTS was studied retrospectively in a subgroup of patients with high-risk chest pain and seriously ill patients [11], [12]. We prospectively internally validated the MTS in pediatric emergency care in 13,000 children with an independent reference standard [4]. For the ESI, CTAS, pediatric Soterion Rapid Triage System, and Australasian Triage Systems, the trends in resource use, length of stay, admission, hospital charges, and mortality were used to validate the urgency levels [5], [6], [7]. An expert panel, which allocated an urgency level based on the clinical information of the ED visit at presentation, was used in some case scenario studies to validate triage systems [13], [14].
The objective of this article is to discuss the challenges in triage research: How to evaluate the reliability and validity of triage systems? Why are validation studies on the underlying decision rules of triage systems lacking? And how to apply the methodology of diagnostic research for the validation of triage systems?
Section snippets
The development of decision rules in major triage systems
The commonly used triage systems are all based on expert opinion of physicians and ED nurses. The systems are based on acuity of presenting problem and features or predicted resource consumption or a combination of these items. Most triage systems categorize the patients in one out of five levels of urgency.
The MTS is based on an algorithm of flowcharts specific for the patient's presenting features and specific discriminators. In the MTS, 52 flowcharts are available. Each flowchart includes
Reliability studies
The intrarater agreement (determination of variability within a single triagist re-rating the same patient) and interrater agreement (determination of variability between different triagists rating the same patient) of triage systems depend on the following criteria. The triagists must be experienced with clinical features of patients presenting at the ED and well trained for the particular triage tool. Furthermore, the triage system must be unambiguous and contain enough diversity of
Implementation of triage systems
Clinical prediction rules focus on specific groups of patients, and implementation in clinical practice at large scale is lacking [19], [20]. However, triage systems are implemented in many EDs worldwide (Table). Application of and compliance to triage rules is rather high, varying from 50% to 99.9% for ESI to 95% for the MTS [2], [4], [25]. What can we learn from the successful implementation of the triage systems?
The triage systems are developed by experts in the field of ambulatory emergency
Conclusions
Triage should be viewed as a diagnostic research and would benefit if it would use the methodology developed in diagnostic research. Evaluation should be shifted from a focus on consensus to the validation of the decision rules in the triage systems with a reference standard, including a multivariate approach and external validation in different settings. Possible lessons for diagnostic research are that triage is applied at large scale due to implementation in the workflow at the ED and that
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