Related Experiment Video
Updated: Jul 13, 2025
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Incidence of overtriage and undertriage and associated factors: A cross-sectional study using a secondary data
Sookyung Jung1,2, Yeojin Yi1
1College of Nursing, Hanyang University, Seoul, Republic of Korea.
Background:
Improving triage accuracy for accurate patient identification and appropriate resource allocation is essential. Little is known about the trend of triage accuracy, and factors associated with mistriage vary from study to study.
Aim:
To identify incidence and risk factors of mistriage, such as overtriage and undertriage.
Design:
This is a cross-sectional study.
Methods:
The data came from the National Emergency Department Information System database in 2016-2020. All patients 15 years and older visiting emergency departments in Korea were assessed for eligibility, and 20,641,411 emergency patients' data were used. Multivariable logistic regressions were conducted to confirm the associated factors with overtriage and undertriage compared to expected triage. Demographic characteristics, disease-related signs and triage-related factors were independent variables.
Results:
Expected triage decreased from 96.8% in 2016 to 95.7% in 2020. Overtriage (0.5%-0.7%) and undertriage (2.4%-3.3%) increased. The occupation that performed triage the most (over 85%) was nurses. Associated factors with overtriage were demographic characteristics (40-64 age group, female), disease-related signs (known disease, direct visit) and triage-related factors (regional emergency medical centre). Risk factors to undertriage were disease-related signs (systolic/diastolic blood pressure and pulse rates within normal range).
Conclusions:
While the acuity degree remained within the recommended range, the accuracy of triage decreased, and there was a gradual increase in mistriaged cases. Nurses have performed most of the triage and played a key role in expected triage. Associated factors with overtriage were demographic characteristics, disease-related signs and triage-related factors and risk factors to undertriage were disease-related signs.
Patient Or Public Contribution:
No patient or public contribution.
Implications For The Profession:
Nurses should be aware of what factors are associated with mistriage and why the factors cause mistriage to improve the triage accuracy because they are responsible for the majority of the triage assessments.
More Related Videos
07:31Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
05:15Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
Published on: June 10, 2025
Related Concept Videos
01:09Truncation in Survival Analysis
Left truncation occurs when individuals who experienced the event of interest before a certain time are not included in the study. This is often due to a "delayed entry" into the study where only those who survive until a certain entry point are...
01:29Bias in Epidemiological Studies
01:23Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
01:20Comparing the Survival Analysis of Two or More Groups
01:25Strategies for Assessing and Addressing Confounding
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
01:12Hazard Ratio
For example, in a clinical trial...