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Attitudes Towards and Experience of the Use of Triage Tags in Major Incidents: A Mixed Method Study

Published online by Cambridge University Press:  23 May 2016

Monica Rådestad*
Affiliation:
Karolinska Institutet, Department of Clinical Science and Education, Södersjukhuset, Stockholm, Sweden
Kristina Lennquist Montán
Affiliation:
University of Gothenburg, Institute of Clinical Science, Department of Surgery, Gothenburg, Sweden
Anders Rüter
Affiliation:
Karolinska Institutet, Department of Clinical Science and Education, Södersjukhuset, Stockholm, Sweden Sophiahemmet University, Stockholm, Sweden and Karolinska Institutet, Department of Clinical Science and Education, Södersjukhuset, Stockholm, Sweden
Maaret Castrén
Affiliation:
Karolinska Institutet, Department of Clinical Science and Education, Södersjukhuset, Stockholm, Sweden
Leif Svensson
Affiliation:
Karolinska Institutet, Department of Clinical Science and Education, Södersjukhuset, Stockholm, Sweden Karolinska Institutet, Department for Medicine, Solna, Sweden
Dan Gryth
Affiliation:
Karolinska Institutet, Department of Physiology and Pharmacology, Section of Anaesthesiology and Intensive Care Medicine, Stockholm, Sweden
Bjöörn Fossum
Affiliation:
Sophiahemmet University, Stockholm Sweden and Karolinska Institutet, Department of Clinical Sciences, Danderyds sjukhus, Stockholm, Sweden
*
Correspondence: Monica Rådestad, RN, PhD Capio S:t Görans Sjukhus AB Sankt Göransplan 1 SE-112 81 Stockholm, Sweden E-mail: monica.radestad@ki.se, monica.radestad@capiostgoran.se
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Abstract

Introduction

Disaster triage is the allocation of limited medical resources in order to optimize patient outcome. There are several studies showing the poor use of triage tagging, but there are few studies that have investigated the reasons behind this. The aim of this study was to explore ambulance personnel attitude towards, and experiences of, practicing triage tagging during day-to-day management of trauma patients, as well as in major incidents (MIs).

Methods

A mixed method design was used. The first part of the study was in the form of a web-survey of attitudes answered by ambulance personnel. The question explored was: Is it likely that systems that are not used in everyday practice will be used during MIs? Two identical web-based surveys were conducted, before and after implementing a new strategy for triage tagging. This strategy consisted of a time-limited triage routine where ambulance services assigned triage category and applied triage tags in day-to-day trauma incidents in order to improve field triage. The second part comprised three focus group interviews (FGIs) in order to provide a deeper insight into the attitudes towards, and experience of, the use of triage tags. Data were analyzed using qualitative content analysis.

Results

The overall finding was the need for daily routine when failure in practice. Analysis of the web-survey revealed three changes: ambulance personnel were more prone to use tags in minor accidents, the sort scoring system was considered to be more valuable, but it also was more time consuming after the intervention. In the analysis of FGIs, four categories emerged that describe the construction of the overall category: perceived usability, daily routine, documentation, and need for organizational strategies.

Conclusion

Triage is part of the foundation of ambulance skills, but even so, ambulance personnel seldom use this in routine practice. They fully understand the benefit of accurate triage decisions, and also that the use of a triage algorithm and color coded tags is intended to make it easier and more secure to perform triage. However, despite the knowledge and understanding of these benefits, sparse incidents and infrequent exercises lead to ambulance personnel’s uncertainty concerning the use of triage tagging during a MI and will therefore, most likely, avoid using them.

RådestadM , Lennquist MontánK , RüterA , CastrénM , SvenssonL , GrythD , FossumB . Attitudes Towards and Experience of the Use of Triage Tags in Major Incidents: A Mixed Method Study. Prehosp Disaster Med. 2016;31(4):376–385.

Information

Type
Original Research
Copyright
© World Association for Disaster and Emergency Medicine 2016 
Figure 0

Figure 1 Algorithm Illustrating the Triage Sieve. Note: Used with permission from TSG Associates.

Figure 1

Figure 2 SMART Tag. Note: Used with permission from TSG Associates.

Figure 2

Table 1 Triage Sort is Intended for Secondary Triage Based on Revised Trauma Score. Adding the values from respiratory rate, systolic blood pressure, and Glasgow Coma Scale gives a scoring point as a base for the priority category: 12 point=Priority 3, 11 point=Priority 2, 10 point or less=Priority 1. Used with permission from TSG Associates (after Champion et al, 1989).

Figure 3

Figure 3 Flowchart Stockholm County Council (SCC).

Figure 4

Table 2 Demographic Data of Pre- and Post-intervention Surveys and Focus Group Interviews

Figure 5

Table 3 Example of Condensation and Abstraction, Using Content Analysis

Figure 6

Table 4 Categories and Sub-categories

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