Home About us Editorial board Search Ahead of print Current issue Archives Submit article Instructions Subscribe Contacts Login 
Visit old site
Home Print this page Email this page Small font size Default font size Increase font size
Users Online: 944


 
 Table of Contents  
ORIGINAL ARTICLE
Year : 2015  |  Volume : 7  |  Issue : 7  |  Page : 299-305

The reliability of the Canadian triage and acuity scale: Meta-analysis


1 Evidence-Based Caring Research Center, Department of Medical-Surgical Nursing, School of Nursing and Midwifery, Mashhad University of Medical Sciences, Mashhad, Iran
2 Department of Emergency Medicine, Imam Reza Hospital, Mashhad University of Medical Sciences, Mashhad, Iran

Date of Web Publication21-Jul-2015

Correspondence Address:
Amir Mirhaghi
Department of Medical-Surgical Nursing, School of Nursing and Midwifery, Chahrrah-e-Doktora, Daneshgah st., Mashhad, Khorasan Razavi
Iran
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/1947-2714.161243

Rights and Permissions
  Abstract 

Background: Although the Canadian Triage and Acuity Scale (CTAS) have been developed since two decades ago, the reliability of the CTAS has not been questioned comparing to moderating variable. Aims: The study was to provide a meta-analytic review of the reliability of the CTAS in order to reveal to what extent the CTAS is reliable. Materials and Methods: Electronic databases were searched to March 2014. Only studies were included that had reported samples size, reliability coefficients, adequate description of the CTAS reliability assessment. The guidelines for reporting reliability and agreement studies (GRRAS) were used. Two reviewers independently examined abstracts and extracted data. The effect size was obtained by the z-transformation of reliability coefficients. Data were pooled with random-effects models and meta-regression was done based on method of moments estimator. Results: Fourteen studies were included. Pooled coefficient for the CTAS was substantial 0.672 (CI 95%: 0.599-0.735). Mistriage is less than 50%. Agreement upon the adult version, among nurse-physician and near countries is higher than pediatrics version, other raters and farther countries, respectively. Conclusion: The CTAS showed acceptable level of overall reliability in the emergency department but need more development to reach almost perfect agreement.

Keywords: Algorithm, emergency treatment, meta-analysis, reliability and validity, triage


How to cite this article:
Mirhaghi A, Heydari A, Mazlom R, Ebrahimi M. The reliability of the Canadian triage and acuity scale: Meta-analysis. North Am J Med Sci 2015;7:299-305

How to cite this URL:
Mirhaghi A, Heydari A, Mazlom R, Ebrahimi M. The reliability of the Canadian triage and acuity scale: Meta-analysis. North Am J Med Sci [serial online] 2015 [cited 2019 Nov 14];7:299-305. Available from: http://www.najms.org/text.asp?2015/7/7/299/161243


  Introduction Top


Patients are categorized based on clinical acuity in the emergency departments (EDs) so the more critically-ill patient is, the more immediate treatment and care needs. [1] The Canadian Triage and Acuity Scale (CTAS) is a five-level emergency department triage algorithm that has been continuously developed in Canada and subjected to several studies. [2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14] The CTAS, a descriptive 5-point triage scale, has been approved by the Canadian Association of Emergency Physicians, the National Emergency Nurses Affiliation, the Canadian Pediatric Society and the Society of Rural Physicians of Canada. The CTAS is based on a comprehensive list of patients' complaints is used to ascertain the triage level. Each complaint has been described in details covering high-risk indicators. [15]

Several studies [2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14] have investigated the validity and reliability of the CTAS in adult and pediatric populations; but it's still unclear to what extent the CTAS would support consistency in triage nurses' decision making in Canada comparing to other countries, considering the wide variety of health care systems around the world. Besides, some studies [16],[17] have addressed contextual influences on the triage decision making process, therefore it is necessary to discover the impact of these variables on the reliability of triage scale. However some studies reported moderate consistency for CTAS, [18] it needs to be more explored in terms of participants, statistics, instruments and other influencing criteria as well as mistriage.

The reliability of triage scales should be assessed by internal consistency, repeatability and inter-rater agreement. [8] However, kappa has been the most commonly used statistics to measure inter-rater agreement, so it is worth-mentioning that kappa statistics could be influenced by incidence, bias and levels of scale lead to misleading results. [19],[20],[21] It is reported that weighted kappa statistics could reveal high and deceiving reliability coefficients. [8] Therefore computing a pooled estimate of a reliability coefficient could help us identify significant differences among reliability methods.

Meta-analysis is a systematic approach for introduction, evaluation, synthesis and unifying results in relation to studying research questions. It also produces the strongest evidence for intervention. [22] Therefore; it is an appropriate method to gain comprehensive and deep insight into the reliability of triage scale especially in regard to kappa statistics.

A review on reliability of the CTAS demonstrated that kappa ranges from 0.202 (fair) to 0.84 (almost perfect). [18],[19],[20],[21],[22],[23] The considerable variation in the kappa statistics indicates a real gap in the reliability of triage scale. So in view of the methodological limitations of the triage scale reliability, context-based triage decision making and the necessity of comprehensive insight into scale reliability in the EDs, the aim of this study was to provide a meta-analytic review of the reliability of the CTAS in order to examine to what extent the CTAS is reliable.


  Materials and Methods Top


The University Research ethics committee approved the study. In the first phase of the study, a literature search was conducted through investigating Cinahl, Scopus, Medline, Pubmed, Google Scholar and Cochrane Library databases until the 1 st March 2014. Meta-analysis has been performed from Jan to July 2014 and authors started to collect data from March 2014. Searching databases were not limited to time periods. The search terms included "Reliability", "Triage", "System", "Scale", "Agreement", "Emergency" and "Canadian Triage and Acuity Scale" [Appendix A [Additional file 1] ].

Relevant citations in reference lists of final studies were hand-searched to identify additional articles regarding the reliability of CTAS. Two researchers independently examined the search results in order to recover potentially eligible articles [Figure 1]. Authors of research articles were contacted to retrieve supplementary information if needed.
Figure 1: Results of literature search and selection process

Click here to view


Irrelevant and duplicated results were eliminated. Irrelevant article has been defined as article which was not related in any manner to the Canadian triage and acuity scale or didn`t contain reliability coefficient. Only English language publications were reviewed. Articles have been chosen according to the Guidelines for Reporting Reliability and Agreement Studies (GRRAS). [24] According to the guidelines, only those studies that had reported description for sample size, number of raters and subjects, sampling method, rating process, statistical analysis and reliability coefficients were included in the analysis. Each item was graded qualified if described in sufficient detail in the paper. Qualified paper was defined as a paper with qualifying score >6 out of the 8 criteria. Disagreements were resolved by consensus. The articles in which the type of reliability was not reported were excluded from the analyses. Researchers also recorded moderator variables such as participants, raters, origin and publication year of study.

In the next phase, participants (age-group, size), raters (profession, size), instruments (live, scenario), origin and publication year of study, reliability coefficient and method were retrieved. Reliability coefficients were extracted from articles as below:

- Inter-rater reliability: Kappa coefficient (weighted and un-weighted), intraclass correlation coefficient, Pearson correlation coefficient and Spearman rank correlation coefficient.
- Intra-rater reliability: Articles which contained reliability statistics including Pearson correlation coefficient, intraclass correlation coefficient and Spearman rank correlation coefficient were included.
- Internal consistency: Articles that reported alpha coefficients were included in the analyses.

In meta-regression, each sample was considered as a unit of analysis. If the same sample were reported in more than two articles, it was included once. In contrast, if several samples regarding different populations were reported in one study, each sample was separately included as a unit of analysis.

Pooling data was performed for all three types of reliability. The most qualified articles reported reliability coefficient using kappa statistics, so it could be considered as an r type of coefficient ranging from −1.00 to + 1.00. Standard agreement definition was used as poor (κ = 0.00-0.20), fair (κ = 0.21-0.40), moderate (κ = 0.41-0.60), substantial (κ = 0.61-0.80), and almost perfect (κ = 0.81-1.00). [20] Kappa could be treated as a correlation coefficient in meta-analysis. [25] In order to obtain the correct interpretation, back-transformation (z to r transformation) of pooled effect sizes to the level of primary coefficients was performed. [26],[27] Fixed effects and random effects models were applied. Data was analyzed using Comprehensive Meta Analysis software (Version 2.2.050).

Simple meta-regression analysis was performed according to method of moments estimator. [28] In the meta-regression model, effect size as dependent variable, and studies and subject characteristics as independent variable were considered to discover potential predictors of reliability coefficients. Z-transformed reliability coefficients are regressed on the following variables: Origin and publication year of study. Distance was defined as distance from origin of each study to origin of CTAS (New Brunswick, Canada). Meta-regression was performed using a random effects model because of the presence of significant between-study variation. [29]


  Results Top


Search strategy introduced 339 primary citations relevant to the reliability of CTAS. Finally, Fourteen unique citations emerged (4.12% out of 339) which met the inclusion criteria [Figure 1]. Subgroups were organized regarding participants (Adult/pediatric), raters (nurse, physician, expert) and method of reliability (intra/inter rater), reliability statistics (weighted/un-weighted kappa) and origin and publication year of study. A. M. has over 10 years of experience in triage and M. E. as an expert, is the head of triage committee in the university. Two clinicians (A. M. and M. E.) and one statistician (R. M.) have reviewed all articles independently. Minor disagreements have been discussed to reach a consensus. The level of agreement among reviewers through final selection of articles was almost perfect.

A total of 29225 cases were included in analysis [Figure 2]. The reliability of CTAS has been assessed in two different countries. The publication year of studies ranged from 1999-2013 with median 2005. Thirty percent of all studies have been conducted using the latest version of triage scale after 2008. Inter-rater reliability had been used in all studies except for one study using intra-rater reliability. No study in our analysis used alpha coefficient to report internal consistency in reliability analysis. Weighted kappa coefficient was the most common statistics [Table 1]. Overall pooled coefficient for the CTAS was substantial 0.672 (CI 95%: 0.599-0.735).
Figure 2: Pooled estimates of participants` reliability coeffi cients (Random effects model)

Click here to view
Table 1: Studies on reliability of CTAS

Click here to view


Participants` pooled coefficients ranged from substantial 0.651 (CI 95%: 0.402-0.811) for nurse-expert agreement, 0.670 (CI 95%: 0.073-0.913) for physician-physician agreement, 0.721 (CI 95%: 0.630-0.793) for nurse-nurse agreement to almost perfect 0.800 (CI 95%: 0.774-0.823) for nurse-physician agreement [Figure 3].
Figure 3: Fisher`s Z transformed pooled estimates of participants` reliability (Random effects model) (NE = Nurse-expert, NN = Nursenurse, NP = Nurse-physician, PP = Physician-physician)

Click here to view


Agreement regarding adult and pediatric version of the CTAS was substantial 0.746 (CI 95%: 0.675-0.804) for adult and 0.598 (CI 95%: 0.375-0.714) for pediatrics.

Agreement regarding paper-based scenario assessment was substantial 0.698 (CI 95%: 0.620-0.762) while it was almost perfect 0.900 (CI 95%: 0.875-0.920) for real live cases assessment.

Agreement regarding inter-rater and intra-rater reliability was substantial 0.708 (CI 95%: 0.629-0.773) and almost perfect 0.800 (CI 95%: 0.773-0.824) respectively. Agreement relating to weighted kappa was substantial 0.714 (CI 95%: 0.639-0.775) and also moderate 0.475 (CI 95%: 0.127-0.389) for un-weighted kappa. Also agreement regarding most updated version was substantial 0.621 (CI 95%: 0.446-0.751) and 0.742 (CI 95%: 0.655-0.811) for prior version.

Eight studies [4],[7],[8],[9],[11],[30],[31],[32] have reported (5 × 5) contingency table to show frequency distribution of triage decisions upon each CTAS level between two raters [Table 2]. Overall agreement was (57.18%). Agreement for each CTAS level was CTAS L-1 (18.14%), CTAS L-2 (7.63%), CTAS L-3 (7.90%), CTAS L-4 (9.18%), CTAS L-5 (14.33%) and disagreement was (5.80%), (7.89%), (12.84%), (12.54%), (3.76%) respectively. Mistriage decisions were (42.82%), of which overtriage was (25.52%) and undertriage (17.30%) [Table 2].
Table 2: Th e Contingency table of triage decision distribution relating to each CTAS category among ED raters[4,7-9,11,30-32]

Click here to view


Meta-regression analysis based on the method of moments for moderators (distance and publication year) was performed. Studies in terms of the distance from the origin of the CTAS in Canada significantly showed lower pooled coefficients, in other terms studies did indicate higher pooled coefficients for the nearest places rather than farther places (B = −0.00003; SE b = 0.00000; P = 0.0000). Analysis of studies in terms of publication year of study revealed insignificant increase in reliability pooled coefficients, so the reliability of CTAS has not been increased systematically through the years (B = 0.00005; SE b = 0.00187; P = 0.9700).


  Discussion Top


The overall reliability of the CTAS is substantial in the emergency departments. The CTAS showed acceptable level of reliability to guarantee decisions were made consistently regarding allocating patients to appropriate categories. It supports evidence-based practice in the emergency department. [18] but generally it`s worth-mentioning that there is a considerable gap between research and clinical practice even at the best of times. [33] In addition, most studies used weighted kappa statistics to report reliability coefficient [Table 1] and the fact that weighted kappa statistics overestimates the reliability of triage scale [8] make it necessary to interpret the results with extreme caution. So probably it`s important to bear in mind that the CTAS reliability is actually at the moderate level which is congruent with several studies. [18]

A calculated 42.82% triage decisions were recognized as mistriage. However (25.52%) of them as overtriage decisions are clinically plausible and could extenuate disagreement among raters in favor of patients, an alarming issue is that (13.69%) of triage decisions is related to undertriage in level I and II that it`s notable to endanger critically-ill patients life [Table 2].

Post-hoc analysis revealed that level III has been predominant among Dong et al., [7] Gravel et al., [9] Dellaire et al., [11] and Dong et al. [31] on the other hand level I has been prevailing among Manos et al.,[4] Goransson et al.,[8] and Goransson et al. [32] In spite of the fact that (15.21%) of patients have been assigned into level I has been recognized as notable case-mix of patients in the emergency department, it cannot be concluded that CTAS has a tendency toward prioritizing patients into level I because only three studies are congruent with combined result. However ESI has tendency towards categorizing patients as level 2 (23.39% of all), CTAS has appropriately distributed patients among triage levels. In fact, the CTAS appropriately distribute patients into triage categories, so it has not a tendency to allocate patients into any specific level. Therefore it guarantees to prevent influx of patients in specific category. This influx could create significant disturbance in patient flow in the EDs and causes other parts of ED to remain unusable. [17]

Comparing to other triage scales, mistriage in ESI (10.93%) is notably lower than CTAS and agreement among raters (78.56%) is higher than CTAS. Unlikely, Worster et al., indicated CTAS has higher agreement than ESI. [6] It can be justified that Canadian hospitals are more familiar with CTAS.

The CTAS show diverse pooled reliability coefficients regarding participants, patients, raters, reliability method and statistics. Results demonstrated agreement upon adult version and among nurse-physician were higher than pediatrics version and the other groups of raters, respectively. This result is congruent with ESI moderators. [17] All of these moderator variables could lead further studies to explore more exclusively. The CTAS has been documented and supported substantially by scientific evidence in Canada. Only Sweden has reported reliability studies on CTAS except Canada [Table 1]. In this way, metaregression showed there is a significant difference in terms of distance from origin of CTAS. It shows that CTAS has reached lower reliability coefficients in farther countries [Table 3]. One reason refers to complaint-based nature of CTAS that could be translated changeably in routine practice comparing to the Canada. This result is opposed to ESI triage scale generalizability which has shown the ESI triage scale could be adopted successfully in other countries in spite of cultural diversities. [17]
Table 3: Meta-regression of Fisher's z-transformed kappa coefficients on predictor variables (Studies with weighted kappa)

Click here to view


The third edition of CTAS has been released [15] and the reliability of triage scales has not been significantly improved through the years indicating revisions had considerably been effective. Therefore, the CTAS could be enhanced through the years and shown improved reliability [Figure 4].
Figure 4: Fisher's Z-transformed kappa coeffi cients in relation to the Publication year of study

Click here to view


In general, intra-rater reliability is more satisfactory than inter-rater reliability, [34] so it revealed almost perfect agreement comparing to substantial agreement for inter-rater reliability. While intra and inter rater reliability are intended to report the degree to which measurements taken by the same and different observers are similar, respectively; other methods of examining reliability has remained uncommon in studies regarding the triage reliability. [35]

Weighted kappa coefficient showed substantial agreement. In fact, weighted kappa coefficient revealed higher reliability than un-weighted kappa coefficient because it put more emphasis on the large differences between ratings than to small differences. [36] Thus It`s worth-mentioning even one category difference in allocating patients into appropriate category could endanger clinical outcomes of critically-ill patients. So un-weighted kappa statistics provides more realistic estimation of triage scales reliability. [8],[38]

A number limitation of this study must be noted. In our analysis, none of these studies have reported raw agreement for each individual CTAS level and only few studies have presented contingency table for inter-rater agreement between raters. Since this study is limited to overall reliability, some inconsistencies may exist across each CTAS level, therefore the results should be interpreted with caution.


  Conclusion Top


Overall, the CTAS triage scale showed acceptable level of reliability in the emergency department, also it appropriately distributes patients into triage categories. Therefore it needs more development to reach almost perfect agreement and decrease disagreement especially undertriage. The reliability of triage scales requires a more comprehensive approach including all aspects of reliability assessment, so it's necessary to conduct further studies concentrating on the reliability of triage scales, especially in different countries.

Financial support and sponsorship

This project has been funded with support from the Mashhad University of Medical Sciences.

Conflicts of interest

There are no conflicts of interest.

 
  References Top

1.
Mirhaghi A, Kooshiar H, Esmaeili H, Ebrahimi M. Outcomes for emergency severity index triage implementation in the emergency department. J Clin Diagn Res 2015;9:OC04-7.  Back to cited text no. 1
    
2.
Beveridge R, Ducharme J, Janes L, Beaulieu S, Walter S. Reliability of the Canadian emergency department triage and acuity scale: Interrater agreement. Ann Emerg Med 1999;34:155-9.  Back to cited text no. 2
    
3.
Bergeron S, Gouin S, Bailey B, Patel H. Comparison of triage assessments among pediatric registered nurses and pediatric emergency physicians. Acad Emerg Med 2002;9:1397-401.  Back to cited text no. 3
    
4.
Manos D, Petrie DA, Beveridge RC, Walter S, Ducharme J. Inter-observer agreement using the Canadian Emergency Department Triage and Acuity Scale. CJEM 2002;4:16-22.  Back to cited text no. 4
    
5.
Grafstein E, Innes G, Westman J, Christenson J, Thorne A. Inter-rater reliability of a computerized presenting-complaint-linked triage system in an urban emergency department. CJEM 2003;5:323-9.  Back to cited text no. 5
    
6.
Worster A, Gilboy N, Fernandes CM, Eitel D, Eva K, Geisler R, et al. Assessment of inter-observer reliability of two five-level triage and acuity scales: A randomized controlled trial. CJEM 2004;6:240-5.  Back to cited text no. 6
    
7.
Dong SL, Bullard MJ, Meurer DP, Colman I, Blitz S, Holroyd BR, et al. Emergency triage: Comparing a novel computer triage program with standard triage. Acad Emerg Med 2005;12:502-7.  Back to cited text no. 7
    
8.
Göransson K, Ehrenberg A, Marklund B, Ehnfors M. Accuracy and concordance of nurses in emergency department triage. Scand J Caring Sci 2005;19:432-8.  Back to cited text no. 8
    
9.
Gravel J, Gouin S, Bailey B, Roy M, Bergeron S, Amre D. Reliability of a computerized version of the Pediatric Canadian Triage and Acuity Scale. Acad Emerg Med 2007;14:864-9.  Back to cited text no. 9
    
10.
Gravel J, Gouin S, Manzano S, Arsenault M, Amre D. Interrater agreement between nurses for the Pediatric Canadian Triage and Acuity Scale in a tertiary care center. Acad Emerg Med 2008;15:1262-7.  Back to cited text no. 10
    
11.
Dallaire C, Poitras J, Aubin K, Lavoie A, Moore L, Audet G. Interrater agreement of Canadian Emergency Department Triage and Acuity Scale scores assigned by base hospital and emergency department nurses. CJEM 2010;12:45-9.  Back to cited text no. 11
    
12.
Dallaire C, Poitras J, Aubin K, Lavoie A, Moore L. Emergency department triage: Do experienced nurses agree on triage scores?. J Emerg Med 2012;42:736-40.  Back to cited text no. 12
    
13.
Gravel J, Gouin S, Goldman RD, Osmond MH, Fitzpatrick E, Boutis K, et al. The Canadian Triage and Acuity Scale for children: A prospective multicenter evaluation. Ann Emerg Med 2012;60:71-7.  Back to cited text no. 13
    
14.
Fernandes CM, McLeod S, Krause J, Shah A, Jewell J, Smith B, et al. Reliability of the Canadian Triage and Acuity Scale: Interrater and intrarater agreement from a community and an academic emergency department. CJEM 2013;15:227-32.  Back to cited text no. 14
[PUBMED]    
15.
Bullard MJ, Chan T, Brayman C, Warren D, Musgrave E, Unger B. Revisions to the Canadian Emergency Department Triage and Acuity Scale (CTAS) Guidelines. CJEM 2014;16:1-5.  Back to cited text no. 15
    
16.
Andersson AK, Omberg M, Svedlund M. Triage in the emergency department - A qualitative study of the factors which nurses consider when making decisions. Nurs Crit Care 2006;11:136-45.  Back to cited text no. 16
    
17.
Mirhaghi A, Heydari A, Mazlom R, Hasanzadeh F. Reliability of the Emergency Severity Index: Meta-analysis. Sultan Qaboos Univ Med J 2015;15:e71-7.  Back to cited text no. 17
    
18.
Farrohknia N, Castrén M, Ehrenberg A, Lind L, Oredsson S, Jonsson H, et al. Emergency department triage scales and their components: A systematic review of the scientific evidence. Scand J Trauma Resusc Emerg Med 2011;19:42.  Back to cited text no. 18
    
19.
Sim J, Wright CC. The kappa statistic in reliability studies: Use, interpretation, and sample size requirements. Phys Ther 2005;85:257-68.  Back to cited text no. 19
    
20.
van der Wulp I, van Stel HF. Calculating kappas from adjusted data improved the comparability of the reliability of triage systems: A comparative study. J Clin Epidemiol 2010;63: 1256-63.  Back to cited text no. 20
    
21.
Viera AJ, Garrett JM. Understanding interobserver agreement: The kappa statistic. Fam Med 2005;37:360-3.  Back to cited text no. 21
    
22.
Petitti D. Meta-analysis, decision analysis, and cost effectiveness analysis. 1 st ed. New York: Oxford University Press; 1994. p. 69.  Back to cited text no. 22
    
23.
Christ M, Grossmann F, Winter D, Bingisser R, Platz E. Modern triage in the emergency department. Dtsch Arztebl Int 2010;107:892-8.  Back to cited text no. 23
    
24.
Kottner J, Audige L, Brorson S, Donner A, Gajewski BJ, Hróbjartsson A, et al. Guidelines for reporting reliability and agreement studies (GRRAS) were proposed. Int J Nurs Stud 2011;48:661-71.  Back to cited text no. 24
    
25.
Rettew DC, Lynch AD, Achenbach TM, Dumenci L, Ivanova MY. Meta-analyses of agreement between diagnoses made from clinical evaluations and standardized diagnostic interviews. Int J Methods Psychiatr Res 2009;18:169-84.  Back to cited text no. 25
    
26.
Hedges LV, Olkin I. Statistical methods for meta-analysis. 1 st ed. Waltham: Academic Press; 1985. p. 76-81.  Back to cited text no. 26
    
27.
Rosenthal R. Meta-analytic procedures for social research. Rev ed. Newbury Park, CA: SAGE Publications; 1991. p. 43-89.  Back to cited text no. 27
    
28.
Chen H, Manning AK, Dupuis J. A method of moments estimator for random effect multivariate meta-analysis. Biometrics 2012;68:1278-84.  Back to cited text no. 28
    
29.
Riley RD, Higgins JP, Deeks JJ. Interpretation of random effects meta-analyses. BMJ 2011;342:d549.  Back to cited text no. 29
    
30.
Bergeron S, Gouin S, Bailey B, Amre DK, Patel H. Agreement among pediatric health care professionals with the pediatric Canadian triage and acuity scale guidelines. Pediatr Emerg Care 2004;20:514-8.  Back to cited text no. 30
    
31.
Dong SL, Bullard MJ, Meurer DP, Blitz S, Ohinmaa A, Holroyd BR, et al. Reliability of computerized emergency triage. Acad Emerg Med 2006;13:269-75.  Back to cited text no. 31
    
32.
Göransson KE, Ehrenberg A, Marklund B, Ehnfors M. Emergency department triage: Is there a link between nurses' personal characteristics and accuracy in triage decisions? Accid Emerg Nurs 2006;14:83-8.  Back to cited text no. 32
    
33.
Le May A, Mulhall A, Alexander C. Bridging the research -practice gap: Exploring the research cultures of practitioners and managers. J Adv Nurs 1998;28:428-37.  Back to cited text no. 33
    
34.
Eliasziw M, Young SL, Woodbury MG, Fryday-Field K. Statistical methodology for the concurrent assessment of interrater and intrarater reliability: Using goniometric measurements as an example. Phys Ther 1994;74:777-88.  Back to cited text no. 34
    
35.
Hogan TP, Benjamin A, Brezinski KL. Reliability methods: A note on the frequency of use of various types. Educ Psychol Meas 2000;60:523-31.  Back to cited text no. 35
    
36.
Cohen J. Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit. Psychol Bull 1968;70:213-20.  Back to cited text no. 36
[PUBMED]    
37.
Dong SL, Bullard MJ, Meurer DP, Blitz S, Holroyd BR, Rowe BH. The effect of training on nurse agreement using an electronic triage system. CJEM 2007;9:260-6.  Back to cited text no. 37
    
38.
Ebrahimi M, Heydari A, Mazlom R, Mirhaghi A. Reliability of the Australasian Triage Scale: Meta-analysis. World J Emerg Med 2015;6:94-99.  Back to cited text no. 38
    


    Figures

  [Figure 1], [Figure 2], [Figure 3], [Figure 4]
 
 
    Tables

  [Table 1], [Table 2], [Table 3]


This article has been cited by
1 Over-triage occurs when considering the patientæs pain in Korean Triage and Acuity Scale (KTAS)
Ji Hwan Lee,Yoo Seok Park,In Cheol Park,Hak Soo Lee,Ji Hoon Kim,Joon Min Park,Sung Phil Chung,Min Joung Kim,Rosemary Frey
PLOS ONE. 2019; 14(5): e0216519
[Pubmed] | [DOI]
2 Reliability and performance of the Swiss Emergency Triage Scale used by paramedics
Olivier Grosgurin,Angèle Gayet-Ageron,Laurent Suppan,Josette Simon,Adolfo Villar,Véronique Trombert,Christophe Marti,François P. Sarasin,Olivier T. Rutschmann
European Journal of Emergency Medicine. 2019; 26(3): 188
[Pubmed] | [DOI]
3 The introduction of the Early Warning Score in the Emergency Department: A retrospective cohort study
Catherine McCabe,Margaurita OæBrien,Mary B. Quirke
International Emergency Nursing. 2019; 45: 31
[Pubmed] | [DOI]
4 Validation of the five-tier Taiwan Triage and Acuity Scale for prehospital use by Emergency Medical Technicians
Chip-Jin Ng,Cheng-Yu Chien,Julian Chen-June Seak,Shang-Li Tsai,Yi-Ming Weng,Chung-Hsien Chaou,Chan-Wei Kuo,Jih-Chang Chen,Kuang-Hung Hsu
Emergency Medicine Journal. 2019; 36(8): 472
[Pubmed] | [DOI]
5 Effectiveness of the four-level Chinese Emergency Triage Scale (CETS) in mainland China: a multicenter assessment
Guo Zhiting,Jin Jingfen,Chen Shuihong,Yang Minfei,Wang Yuwei,Wang Sa
International Journal of Nursing Studies. 2019; : 103447
[Pubmed] | [DOI]
6 Evaluation of triage quality in the emergency department
Ana Paula Santos de Jesus,Vanessa Cordeiro Vilanova,Alyne Henri Motta Coifman,Bruna Roberta Siqueira Moura,Fernanda Ayache Nishi,Larissa Chaves Pedreira,Ruth Ester Assayag Batista,Diná de Almeida Lopes Monteiro da Cruz
JBI Database of Systematic Reviews and Implementation Reports. 2019; 17(4): 479
[Pubmed] | [DOI]
7 Responsibility-evading performance: The experiences of healthcare staff about triage in emergency departments: A qualitative study
Asghar Sherafat,Aliakbar Vaezi,Mohammadreza Vafaeenasab,Mohammadhassan Ehrampoush,Hossein Fallahzadeh,Hossein Tavangar
Iranian Journal of Nursing and Midwifery Research. 2019; 24(5): 379
[Pubmed] | [DOI]
8 „Triagierung“ – Ersteinschätzung von Patienten in der zentralen Notaufnahme
M. Möckel,S. Reiter,T. Lindner,A. Slagman
Medizinische Klinik - Intensivmedizin und Notfallmedizin. 2019;
[Pubmed] | [DOI]
9 Reliability of Korean Triage and Acuity Scale: Interrater Agreement between Two Experienced Nurses by Real-Time Triage and Analysis of Influencing Factors to Disagreement of Triage Levels
Joon Bum Park,Juncheol Lee,Yu Jin Kim,Jin Hee Lee,Tae Ho Lim
Journal of Korean Medical Science. 2019; 34(30)
[Pubmed] | [DOI]
10 Triage accuracy and causes of mistriage using the Korean Triage and Acuity Scale
Sun-Hee Moon,Jae Lan Shim,Keun-Sook Park,Chon-Suk Park,Itamar Ashkenazi
PLOS ONE. 2019; 14(9): e0216972
[Pubmed] | [DOI]
11 Round-off decision-making: Why do triage nurses assign STEMI patients with an average priority?
Mor Saban,Lev Zaretsky,Heli Patito,Rabia Salama,Aziz Darawsha
International Emergency Nursing. 2018;
[Pubmed] | [DOI]
12 Embracing the wild profusion: A Foucauldian analysis of the impact of healthcare standardization on nursing knowledge and practice
Allie Slemon
Nursing Philosophy. 2018; : e12215
[Pubmed] | [DOI]
13 Reliability of the revised Swiss Emergency Triage Scale
Olivier T. Rutschmann,Olivier W. Hugli,Christophe Marti,Olivier Grosgurin,Antoine Geissbuhler,Michel Kossovsky,Josette Simon,François P. Sarasin
European Journal of Emergency Medicine. 2018; 25(4): 264
[Pubmed] | [DOI]
14 Characteristics and outcomes of older emergency department patients assigned a low acuity triage score
Ariel Hendin,Debra Eagles,Victoria Myers,Ian G. Stiell
CJEM. 2018; : 1
[Pubmed] | [DOI]
15 Prognostic performance of Emergency Severity Index (ESI) combined with qSOFA score
Hyeongkyu Kwak,Gil Joon Suh,Taegyun Kim,Woon Yong Kwon,Kyung Su Kim,Yoon Sun Jung,Jung-In Ko,So Mi Shin
The American Journal of Emergency Medicine. 2018;
[Pubmed] | [DOI]
16 The reliability of the Manchester Triage System (MTS): a meta-analysis
Amir Mirhaghi,Reza Mazlom,Abbas Heydari,Mohsen Ebrahimi
Journal of Evidence-Based Medicine. 2017; 10(2): 129
[Pubmed] | [DOI]
17 Comparison of prehospital triage and five-level triage system at the emergency department
Li-Heng Tsai,Chien-Hsiung Huang,Yi-Chia Su,Yi-Ming Weng,Chung-Hsien Chaou,Wen-Cheng Li,Chan-Wei Kuo,Chip-Jin Ng
Emergency Medicine Journal. 2017; 34(11): 720
[Pubmed] | [DOI]
18 Clinical Considerations When Applying Vital Signs in Pediatric Korean Triage and Acuity Scale
Bongjin Lee,Do Kyun Kim,June Dong Park,Young Ho Kwak
Journal of Korean Medical Science. 2017; 32(10): 1702
[Pubmed] | [DOI]
19 Patient satisfaction may need to be weighed by patient acuity in the emergency department
Amir Mirhaghi
Emergency Medicine Journal. 2017; 34(4): 269.1
[Pubmed] | [DOI]
20 The conclusion validity of the triage scales has been threatened
A. Mirhaghi,M. Christ
Notfall + Rettungsmedizin. 2016; 19(4): 299
[Pubmed] | [DOI]
21 Revision for the Rapid Emergency Triage and Treatment System Adult (RETTS-A) needed?
Amir Mirhaghi,Michael Christ
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine. 2016; 24(1)
[Pubmed] | [DOI]
22 Delays in the treatment of patients with acute coronary syndrome: Focus on pre-hospital delays and non-ST-elevated myocardial infarction
K.A. Mol,B.M. Rahel,J.G. Meeder,B.C.A.M. van Casteren,P.A. Doevendans,M.J.M. Cramer
International Journal of Cardiology. 2016; 221: 1061
[Pubmed] | [DOI]
23 Development of an algorithm to aid triage decisions for intensive care unit admission: a clinical vignette and retrospective cohort study
Joao Gabriel Rosa Ramos,Beatriz Perondi,Roger Daglius Dias,Leandro Costa Miranda,Claudio Cohen,Carlos Roberto Ribeiro Carvalho,Irineu Tadeu Velasco,Daniel Neves Forte
Critical Care. 2016; 20(1)
[Pubmed] | [DOI]
24 The Culture of Care Interfacing Internal Validity of Emergency Severity Index
Amir Mirhaghi,Michael Christ
Journal of Emergency Nursing. 2016; 42(4): 297
[Pubmed] | [DOI]
25 Predictive value of the NEWS-L for mortality and the need for critical care among general emergency department patients
Sion Jo,Jaechol Yoon,Jae Baek Lee,Youngho Jin,Taeoh Jeong,Boyoung Park
Journal of Critical Care. 2016;
[Pubmed] | [DOI]
26 The Role Descriptions of Triage Nurse in Emergency Department: A Delphi Study
Mohsen Ebrahimi,Amir Mirhaghi,Reza Mazlom,Abbas Heydari,Asra Nassehi,Mojtaba Jafari
Scientifica. 2016; 2016: 1
[Pubmed] | [DOI]
27 Importance of respiratory rate for the prediction of clinical deterioration after emergency department discharge: a single-center, case-control study
Katsunori Mochizuki,Ryosuke Shintani,Kotaro Mori,Takahisa Sato,Osamu Sakaguchi,Kanako Takeshige,Kenichi Nitta,Hiroshi Imamura
Acute Medicine & Surgery. 2016;
[Pubmed] | [DOI]
28 A Decision support system (DSS) for municipal nurses encountering health deterioration among older people
Annica Kihlgren,Fredrik Svensson,Conny Lövbrand,Mervyn Gifford,Annsofie Adolfsson
BMC Nursing. 2016; 15(1)
[Pubmed] | [DOI]
29 Comment on Alquraini et al.: reliability of Canadian Emergency Department Triage and Acuity Scale (CTAS) in Saudi Arabia
Amir Mirhaghi
International Journal of Emergency Medicine. 2015; 8(1)
[Pubmed] | [DOI]



 

Top
 
 
  Search
 
Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
Access Statistics
Email Alert *
Add to My List *
* Registration required (free)

 
  In this article
Abstract
Introduction
Materials and Me...
Results
Discussion
Conclusion
References
Article Figures
Article Tables

 Article Access Statistics
    Viewed2658    
    Printed44    
    Emailed0    
    PDF Downloaded649    
    Comments [Add]    
    Cited by others 29    

Recommend this journal