Journal List > J Korean Acad Nurs > v.48(3) > 1108872

Moon and Park: Development of a Triage Competency Scale for Emergency Nurses

Abstract

Purpose

This study aimed to develop a triage competency scale (TCS) for emergency nurses, and to evaluate its validity and reliability.

Methods

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.

Results

The item analysis and confirmatory factor analysis yielded 5 factors with 30 items; the fit index of the derived model was good (χ 2/df =2.46, Root Mean squared Residual=.04, Root Mean Squared Error of Approximation=.08). Additionally, contrasted group validity was assessed. Participants were classified as novice, advanced beginner, competent, and proficient, and significant differences were observed in the mean score for each group (F=6.02, p=.001). With reference to criterion-related validity, there was a positive correlation between scores on the TCS and the Clinical Decision Making in Nursing Scale (r=.48, p<.001). Further, the total score on the problem solving method using video scenarios was positively correlated with the TCS score (r=.13, p=.04). The Cronbach's α of the final model was .91.

Conclusion

Our TCS is useful for the objective assessment of triage competency among emergency nurses and the evaluation of triage education programs.

References

1. Sweet V; Emergency Nurses Association. Emergency nursing core curriculum. 7th ed. St. Louis: Elsevier Health Sciences;2017. p. 23–30.
2. Edwards TA. The art of triage. New York: Nova Science Publishers;2013. p. 7–49.
3. Göransson KE, Ehrenberg A, Ehnfors M. Triage in emergency departments: National survey. Journal of Clinical Nursing. 2005; 14(9):1067–1074. https://doi.org/10.1111/j.1365-2702.2005.01191.x.
crossref
4. Park JB, Choi HJ, Kang BS, Kim CS, Kang HG, Lim TH. A nationwide survey of Korean emergency department triage systems and scales: A first step towards reform of the emergency medical service system. Journal of the Korean Society of Emergency Medicine. 2014; 25(5):499–508.
5. Axley L. Competency: A concept analysis. Nursing Forum. 2008; 43(4):214–222. https://doi.org/10.1111/j.1744-6198.2008.00115.x.
crossref
6. Emergency Nurses Association. Triage qualifications [Internet]. Des Plaines (IL): Emergency Nurses Association;c2011. [cited 2016 Apr 10]. Available from:. https://www.ena.org/docs/default-source/resource-library/practice-resources/position-statements/triagequalificationscompetency.pdf?s-fvrsn=a0bbc268_8.
7. Korean Triage and Acuity Scale (KTAS) Committee. Korean triage and acuity scale manual [Internet]. Version 1.0. Seoul: KTAS National Working Group;c2014. [cited 2016 Apr 1]. Available from:. http://www.prism.go.kr/homep-age/entire/retrieveEntireDetail.do?pageIndex=1&research_id=1351000-201400241&leftMenuLevel=160&cond_research_name=%EC%A4%91%EC%A6%9D%EB%8F%84+%EB%B6%84%EB%A5%98&cond_research_start_date=&cond_research_end_date=&pageUnit=10&cond_or-der=3.
8. Moon SH, Park YH. Concept analysis of triage competency in emergency nursing. Korean Society of Critical Care Nursing. 2017; 10(3):41–52.
9. National Emergency Nurses Association. Role of the triage nurse [Internet]. Chilliwack (BC): National Emergency Nurses Association;c2014. [revised 2011 Nov; cited 2016 Apr 10]. Available from:. http://nena.ca/w/wp-content/uploads/2014/11/Role-of-the-Triage-Nurse-2.pdf.
10. Cone KJ, Crumpler TP. The development and testing of an instrument to measure decision-making in emergency department triage nurses [dissertation]. St. Louis (MO): Saint Louis University;2000. p. 1–129.
11. Gardner A, Hase S, Gardner G, Dunn SV, Carryer J. From competence to capability: A study of nurse practitioners in clinical practice. Journal of Clinical Nursing. 2008; 17(2):250–258. https://doi.org/10.1111/j.1365-2702.2006.01880.x.
crossref
12. National Emergency Medical Center. 2013 Annual report of Korean emergency medicine [Internet]. Seoul: National Emergency Medical Center Press;c2014. [cited 2016 Feb 1]. Available from:. http://www.e-gen.or.kr/nemc/statistics_annual_report.do.
13. Rowe BH, Villa-Roel C, Guo X, Bullard MJ, Ospina M, Van-dermeer B, et al. The role of triage nurse ordering on mitigating overcrowding in emergency departments: A systematic review. Academic Emergency Medicine. 2011; 18(12):1349–1357. https://doi.org/10.1111/j.1553-2712.2011.01081.x.
crossref
14. DeVellis RF. Scale development: Theory and applications. 3rd ed. Los Angeles (CA): Sage Publications Inc.;2012. p. 73–114.
15. Streiner DL, Norman GR, Cairney J. Health measurement scales: A practical guide to their development and use. 5th ed. Oxford: Oxford University Press;2014. p. 74–250.
16. Waltz CF, Jenkins LS. Measurement of nursing outcomes. Volume 1: Measuring nursing performance in practice. New York: Springer Publishing Company;2001. p. 33–37.
17. Baek MK. Relationship between level of autonomy and clinical decision-making in nursing scale of E.T nurse [master’s thesis]. Seoul: Yonsei University;2005. p. 1–89.
18. Tabachnick BG, Fidell LS. Using multivariate statistics. 4th ed. Boston (MA): Allyn and Bacon;2001. p. 588.
19. Munro BH. Statistical methods for health care research. 5th ed. Philadelphia: Lippincott Williams & Wilkins;2005. p. 351–376.
20. Tak JK. Psychological testing. 2nd ed. Seoul: Hakjisa;2007. p. 97–150.
21. Yu JP. Concept and understanding of structure equation model: Amos 4.0-20.0. Seoul: Hannarae Academy;2012. p. 276–372.
22. Song TM, Kim GS. Structural equation modeling for health & welfare research. Seoul: Hannarae Academy;2012. p. 100–125.
23. Jang KS. A study on establishment of clinical career development model of nurses [dissertation]. Seoul: Yonsei University;2000. p. 1–201.
24. Park HA. Theory: Problems and issues in developing measurement scales in nursing. Journal of Nursing Query. 2005; 14(1):46–72.
25. Kaiser HF. An index of factorial simplicity. Psychometrika. 1974; 39(1):31–36. https://doi.org/10.1007/BF02291575.
crossref
26. Reay G, Rankin JA, Then KL. Momentary fitting in a fluid environment: A grounded theory of triage nurse decision making. International Emergency Nursing. 2016; 26:8–13. https://doi.org/10.1016/j.ienj.2015.09.006.
crossref
27. Watson D. Correcting for acquiescent response bias in the absence of a balanced scale: An application to class consciousness. Sociological Methods & Research. 1992; 21(1):52–88. https://doi.org/10.1177/0049124192021001003.
28. Swain SD, Weathers D, Niedrich RW. Assessing three sources of misresponse to reversed likert items. Journal of Marketing Research. 2008; 45(1):116–131. https://doi.org/10.1509/jmkr.45.1.116.
crossref
29. Gosling SD, Vazire S, Srivastava S, John OP. Should we trust web-based studies? A comparative analysis of six preconceptions about internet questionnaires. American Psychologist. 2004; 59(2):93–104. https://doi.org/10.1037/0003-066X.59.2.93.
crossref
30. Zimmermann PG, Sweet V. Writing effective test questions to measure triage competency: Tips for making a good triage test. Journal of Emergency Nursing. 2006; 32(1):106–109. https://doi.org/10.1016/j.jen.2005.10.002.
crossref

Figure 1.
Flow chart for this study.
jkan-48-362f1.tif
Table 1.
Characteristics of the Participants (N=250)
Characteristics Classification n (%) or M±SD
Age (yr) 30.20±7.10
20~29 138 (55.2)
30~39 85 (34.0)
40~49 22 (8.8)
≥50 5 (2.0)
Sex Male 21 (8.4)
Female 229 (91.6)
Most recent degree Diploma 79 (31.6)
Bachelor’s degree 157 (62.8)
≥ Master’s degree 14 (5.6)
Experience in Nursing (yr) 7.27±6.98
<1 37 (14.8)
1~ less than 3 44 (17.6)
3~ less than 7 68 (27.2)
≥ 7 101 (40.4)
Experience in the emergency department (yr) 3.83±3.72
<1 60 (24.0)
1~ less than 3 59 (23.6)
3~ less than 7 95 (38.0)
≥ 7 36 (14.4)
Experience of Triage (yr) Yes 131 (52.4)
Duration of triage 2.10±2.84
No 119 (47.6)
Triage training Yes 169 (67.6)
No 81 (32.4)
Type of emergency department Regional emergency 46 (18.4)
department
Local emergency 204 (81.6)
department

M±SD=Mean±standard deviation.

Table 2.
Measured Variable Estimates of the Confirmatory Factor Model (N=250)
Factor Item Unstandardized λ Standard Error Critical Ratio l Standardized λ
Clinical judgment Q1: On a patient’s arrival, I can decide if the patient needs immediate care based on a first look. 1.00 - - 0.57
Q2: I can intuitively identify a patient experiencing a cardiac arrest. 1.11 0.16 6.84 0.52
Q3: I can connect a patient’s symptoms with the vital signs. 0.83 0.12 6.73 0.51
Q4: I can connect a patient’s symptoms caused by an accident with injury mechanisms. 1.05 0.15 7.25 0.56
Q5: I can interpret a patient’s symptoms by considering his/her underlying diseases. 0.97 0.14 7.09 0.54
Q7: I can identify clues of an emergent disease from a patient’s trivial actions or words. 1.20 0.16 7.48 0.58
Q8: I can identify several diseases based on a patient’s complaints. 1.20 0.16 7.62 0.60
Q9: I know which severe symptoms should be addressed with priority. 1.14 0.14 8.21 0.67
Q10: Based on a patient’s complaints, I can identify if the patient needs to be isolated for a suspected infectious disease. 1.17 0.16 7.16 0.55
Q12: I am able to clearly identify the health problems of a patient who reports symptoms discursively. 1.36 0.16 8.32 0.68
Q13: I can make evidence-based decisions on triage. 1.27 0.15 8.36 0.69
Q15: I can predict the treatments and interventions that may be provided to a patient. 0.89 0.12 7.42 0.58
Q17: I try to review the accuracy of or mistakes in my triage. 0.96 0.15 6.21 0.46
Expert assessment Q30: While interviewing a patient, I can take a rough look at patients waiting behind. 1.00 - - 0.46
Q21: I can understand what a patient and caregivers expect from the treatment at the emergency room. 1.24 0.22 5.70 0.58
Q19: I can perform a simple physical assessment to confirm the disease I suspect. 1.43 0.25 5.80 0.60
Q18: During an interview with a patient for triage, I can investigate about the patient by scanning from his/her head to toe. 1.60 0.26 6.21 0.72
Management of medical resources Q26: I am aware of the types of medical resources available at the emergency room. 1.00 - - 0.69
Q27: I can determine the best placement for a patient. 0.93 0.11 8.70 0.70
Q25: I know the internal regulations of the emergency room about the placement of patients after triage. 1.08 0.12 8.82 0.71
Q23: When several patients arrive at the hospital simultaneously, I can handle the situation by asking for help from team members (doctors, nurses, emergency medical technicians, security guards, etc.). 0.35 0.12 2.92 0.21
Timely decision Q38: My team members (doctors, nurses, emergency medical technicians, security guards, etc.) think that I work efficiently and rapidly. 1.00 - - 0.53
Q37: I can rapidly intervene when a patient’s condition exacerbates suddenly. 0.94 0.14 6.88 0.58
Q11: I am confident that I can perform triage reasonably. 1.19 0.15 8.02 0.77
Q34: I am confident that my clinical experiences in the emergency room may be helpful for patients. 0.91 0.15 6.26 0.51
Communication Q44: I can easily understand what a patient means. 1.00 - - 0.72
Q42: I can ask appropriate questions to clarify the meaning when a patient speaks discursively. 0.84 0.11 7.58 0.59
Q41: Patients understand my questions or explanations well. 0.75 0.10 7.78 0.61
Q48: I provide a clear explanation to a patient who needs Nothing Per Os (NPO). 0.67 0.12 5.57 0.42
Q49: I can reduce a patient’s anxiety in the emergency room by giving a brief explanation about the treatment process. 0.72 0.12 5.83 0.44
Model fitness: χ2=971.2 (p<.001), χ2/df=2.46, RMR=.04, RMSEA=.08

RMR=Root mean squared residual; RMSEA=Root mean squared error of approximation.

Table 3.
Mean Score between each Stages for Contrasted Groups Validity (N=250)
Stages Experience in the ED (yr) Number of participants M±SD F p-value Post hoc (Dunnett T3)
Novice (a) <1 60 85.50±12.30 6.02 .001 a, b <c,d
Advanced beginner (b) 1~ less than 3 59 84.63±13.18
Competent (c) 3~ less than 7 95 89.89±9.66
Proficient (d) ≥ 7 36 92.69±7.48
Total 250 88.00±11.32

ED=emergency department; M±SD=Mean±standard deviation.

Table 4.
Correlation between the Clinical Decision Making in Nursing Scale and the Triage Competency Scale, and Reliability Coefficients (N=250)
Clinical judgment Expert assessment Management of medical resources Timely decision Communication Triage competency scale
Correlation
CDMNS .41 .46 .27 .17 .51 .48
p-value <.001 <.001 <.001 <.001 <.001 <.001
Cronbach’s α .86 .67 .62 .69 .69 .91
Score range 0~52 0~16 0~16 0~16 0~20 0~120
M±SD 38.47±5.67 10.22±2.26 12.82±1.96 11.45±2.12 15.04±2.12 88.00±11.32

CDMNS=clinical decision making in nursing scale; M±SD=Mean±standard deviation.

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