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Evaluation of the factors affecting triage decision-making among emergency department nurses and emergency medical technicians in Iran: a study based on Benner’s theory
INTRODUCTION: Emergency department (ED) nurses and emergency medical technicians (EMTs) find themselves performing triage under time pressure and with limited information. Identifying an effective triage decision-making process can play a significant role in promoting patient safety. Experts are abl...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9613063/ https://www.ncbi.nlm.nih.gov/pubmed/36303127 http://dx.doi.org/10.1186/s12873-022-00729-y |
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author | Soola, Aghil Habibi Mehri, Saeid Azizpour, Islam |
author_facet | Soola, Aghil Habibi Mehri, Saeid Azizpour, Islam |
author_sort | Soola, Aghil Habibi |
collection | PubMed |
description | INTRODUCTION: Emergency department (ED) nurses and emergency medical technicians (EMTs) find themselves performing triage under time pressure and with limited information. Identifying an effective triage decision-making process can play a significant role in promoting patient safety. Experts are able to make faster and more effective decisions in emergencies than novices. OBJECTIVE: The current study aimed to identify the level of triage decision-making (TDM) and its’ predictors in ED nurses and EMTs based on self-reported levels of nursing proficiency in Benner’s theory from novice to expert. MATERIALS AND METHODS: Out of 821 ED nurses and EMTs who met the inclusion criteria, 320 ED nurses and 152 EMTs were included in this descriptive-analytical research. Data were collected by a demographic information form and triage decision-making inventory (TDMI) and analyzed by SPSSv.22 software using descriptive statistics, Pearson correlation test, t-test, ANOVA, and multiple linear regression. RESULTS: The total score of TDMI in the ED nurses and EMTs was higher in the expert nurses than in the proficient, competent, advanced beginner and novices. Multiple linear regression analysis showed that self-reported levels of nursing proficiency, age, work experience, marital status and triage training course were predictors of TDM in ED nurses (P < .05), and self-reported levels of nursing proficiency, service location, work experience, and triage training course were predictors of TDM in EMTs (P < .05). CONCLUSION: Understanding the predictors influencing TDM health professionals may facilitate the understanding of their training needs. The training needs of a novice and inexperienced person may be different from those of an expert person, it is recommended that the training methods be based on the experiences and professional levels of nurses so that the training provided is effective and quality. Moreover, to increase the TDM power and reduce TDM errors due to lack of experience, a system is suggested to be established to allow novice nurses in the first year to work with experienced nurses. Also it is suggested that the determining educational and training focus with regards to triage before entering the bedside be done based on predictors. |
format | Online Article Text |
id | pubmed-9613063 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-96130632022-10-28 Evaluation of the factors affecting triage decision-making among emergency department nurses and emergency medical technicians in Iran: a study based on Benner’s theory Soola, Aghil Habibi Mehri, Saeid Azizpour, Islam BMC Emerg Med Research INTRODUCTION: Emergency department (ED) nurses and emergency medical technicians (EMTs) find themselves performing triage under time pressure and with limited information. Identifying an effective triage decision-making process can play a significant role in promoting patient safety. Experts are able to make faster and more effective decisions in emergencies than novices. OBJECTIVE: The current study aimed to identify the level of triage decision-making (TDM) and its’ predictors in ED nurses and EMTs based on self-reported levels of nursing proficiency in Benner’s theory from novice to expert. MATERIALS AND METHODS: Out of 821 ED nurses and EMTs who met the inclusion criteria, 320 ED nurses and 152 EMTs were included in this descriptive-analytical research. Data were collected by a demographic information form and triage decision-making inventory (TDMI) and analyzed by SPSSv.22 software using descriptive statistics, Pearson correlation test, t-test, ANOVA, and multiple linear regression. RESULTS: The total score of TDMI in the ED nurses and EMTs was higher in the expert nurses than in the proficient, competent, advanced beginner and novices. Multiple linear regression analysis showed that self-reported levels of nursing proficiency, age, work experience, marital status and triage training course were predictors of TDM in ED nurses (P < .05), and self-reported levels of nursing proficiency, service location, work experience, and triage training course were predictors of TDM in EMTs (P < .05). CONCLUSION: Understanding the predictors influencing TDM health professionals may facilitate the understanding of their training needs. The training needs of a novice and inexperienced person may be different from those of an expert person, it is recommended that the training methods be based on the experiences and professional levels of nurses so that the training provided is effective and quality. Moreover, to increase the TDM power and reduce TDM errors due to lack of experience, a system is suggested to be established to allow novice nurses in the first year to work with experienced nurses. Also it is suggested that the determining educational and training focus with regards to triage before entering the bedside be done based on predictors. BioMed Central 2022-10-28 /pmc/articles/PMC9613063/ /pubmed/36303127 http://dx.doi.org/10.1186/s12873-022-00729-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Soola, Aghil Habibi Mehri, Saeid Azizpour, Islam Evaluation of the factors affecting triage decision-making among emergency department nurses and emergency medical technicians in Iran: a study based on Benner’s theory |
title | Evaluation of the factors affecting triage decision-making among emergency department nurses and emergency medical technicians in Iran: a study based on Benner’s theory |
title_full | Evaluation of the factors affecting triage decision-making among emergency department nurses and emergency medical technicians in Iran: a study based on Benner’s theory |
title_fullStr | Evaluation of the factors affecting triage decision-making among emergency department nurses and emergency medical technicians in Iran: a study based on Benner’s theory |
title_full_unstemmed | Evaluation of the factors affecting triage decision-making among emergency department nurses and emergency medical technicians in Iran: a study based on Benner’s theory |
title_short | Evaluation of the factors affecting triage decision-making among emergency department nurses and emergency medical technicians in Iran: a study based on Benner’s theory |
title_sort | evaluation of the factors affecting triage decision-making among emergency department nurses and emergency medical technicians in iran: a study based on benner’s theory |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9613063/ https://www.ncbi.nlm.nih.gov/pubmed/36303127 http://dx.doi.org/10.1186/s12873-022-00729-y |
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