The Korean Triage and Acuity Scale (KTAS) is a tool used to classify the severity and urgency of emergency department (ED) patients, focusing on their symptoms. In consideration of the importance of the KTAS, a web-based learning program has emerged as a new mode of education; it enables ED triage nurses to access it anytime and anywhere, and according to their own learning abilities. This study aimed to develop a web-based KTAS learning program and evaluate its effects on self-efficacy and triage performance ability in ED nurses.
A quasi-experimental design with a non-equivalent control group pretest-posttest was used. The conceptual framework was Bandura's self-efficacy theory. There were 30 participants in the experimental group and 29 in the control group. The experimental group attended an orientation and 4 sessions of a web-based KTAS learning program. The learning program lasted 280 minutes over five weeks, consisting of 40 minutes of orientation and four 60-minute sessions.
The scores of self-efficacy, triage performance ability in KTAS level, and chief complaints significantly increased in the experimental group compared to the control group. In addition, the numbers of under-triage in KTAS significantly decreased in the experimental group in comparison to the control group.
The results suggest that the learning program was effective in improving ED nurses' level of self-efficacy and triage performance ability (KTAS level and KTAS chief complaint). Accordingly, the web-based KTAS learning program can be applied as an education intervention to improve ED nurses' triage skill.
The aim of this study was to identify the predictive validity of the Korean Triage and Acuity Scale (KTAS).
This methodological study used data from National Emergency Department Information System for 2016. The KTAS disposition and emergency treatment results for emergency patients aged 15 years and older were analyzed to evaluate its predictive validity through its sensitivity, specificity, positive predictive value, and negative predictive value.
In case of death in the emergency department, or where the intensive care unit admission was considered an emergency, the sensitivity, specificity, positive predictive value, and negative predictive value of the KTAS were 0.916, 0.581, 0.097, and 0.993, respectively. In case of death in the emergency department, or where the intensive or non-intensive care unit admission was considered an emergency, the sensitivity, specificity, and positive predictive value, and negative predictive value were 0.700, 0.642, 0.391, and 0.867, respectively.
The results of this study showed that the KTAS had high sensitivity but low specificity. It is necessary to constantly review and revise the KTAS level classification because it still results in a few errors of under and over-triage. Nevertheless, this study is meaningful in that it was an evaluation of the KTAS for the total cases of adult patients who sought help at regional and local emergency medical centers in 2016.
This study aimed to develop a triage competency scale (TCS) for emergency nurses, and to evaluate its validity and reliability.
Preliminary items were derived based on the attributes and indicators elicited from a concept analysis study on triage competency. Ten experts assessed whether the preliminary items belonged to the construct factor and determined the appropriateness of each item. A revised questionnaire was administered to 250 nurses in 18 emergency departments to evaluate the reliability and validity of the scale. Data analysis comprised item analysis, confirmatory factor analysis, contrasted group validity, and criterion-related validity, including criterion-related validity of the problem solving method using video scenarios.
The item analysis and confirmatory factor analysis yielded 5 factors with 30 items; the fit index of the derived model was good (χ 2/
Our TCS is useful for the objective assessment of triage competency among emergency nurses and the evaluation of triage education programs.
The purpose of this study is to analyze ER patient's Triage and other statistical data. The subjects were 12,618 patients who visited the ER during the year 1998. The study showed the following results; 1. The male vs female ratio was 1.3 : 1.0, the male were in the majority (56.6%), and the age range of 20-29 old was the majority (15.3). The patients who visited ER at 8-10 pm were the majority (11.5%). On Sunday the number of patients who visited the ER were 2,189, and the majority were 17.4%. On Saturday the number of patients was visited the ER were 1,944 patients the second majority (15.4%). Their traffic means : the general passenger cars (75.5%), 119 or hospital ambulance (11.3%). 2. The reasons of visiting ER were : diseases (59.2%), injuries (23.7%). The disease vs injury ratio was 100 : 69. 3. Triage : urgent 40.7%, non-urgent 38.2%, acute 17.8%, and critical 3.2%. 4. The time of waiting and staying in the ER by the Triaget: the average time was 572 minutes (9.53 hrs.). The majority of critical patients (20.5%), acute patients (24.7%) and urgent patients (21.2%) stayed 12-24 hrs., but the majority of non-emergent (27.8%) stayed not longer than one hour. 5. Treatments by the Triage : the 42.9% of critical patients, and 61.3% of acute patients, 57.5% of urgent patients were admitted. But 91.8% of the non-emergents were discharged and 4.7% was admitted. Mortality of total ER visiter were 1.7%. DAA portion was 0.86%. 26.6% of the critical patients were DAA. DAA vs DOA ratio was 1.3 : 1.0. 6. Visiting time, monthly and seasonal distribution by the Triage : the majority of critical patients (12.2%), visited 10-12 am. The majority of acute (12.9%) and urgent (11.7%) visited 4-6 pm, but the majority of non-emergents (15.1%) visited during 8-10 pm. Autumn visiter were the majority (27.6%). The percentage of non-emergent visited in Spring was 41.4% and Autumn was 41.3%. The percentage of urgents who visited in the Summer was 45.3% and the Winter was 40.4%. By clinical departments: the 48.0% of critical patients was NS. The 45.5% of acute and the 33.6% of urgent patients were IM. But the majority of non-emergent patients was PS (21.2%), and the second majority of non-emergent patients was oral Surgery (12.8%).