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
Abstract 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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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BMC
2022-10-01
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| Series: | BMC Emergency Medicine |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12873-022-00729-y |
| _version_ | 1811197850369916928 |
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| author | Aghil Habibi Soola Saeid Mehri Islam Azizpour |
| author_facet | Aghil Habibi Soola Saeid Mehri Islam Azizpour |
| author_sort | Aghil Habibi Soola |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-04-12T01:21:21Z |
| format | Article |
| id | doaj.art-a6fdb6adaac54b7baf850eb375c0ef15 |
| institution | Directory Open Access Journal |
| issn | 1471-227X |
| language | English |
| last_indexed | 2024-04-12T01:21:21Z |
| publishDate | 2022-10-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Emergency Medicine |
| spelling | doaj.art-a6fdb6adaac54b7baf850eb375c0ef152022-12-22T03:53:47ZengBMCBMC Emergency Medicine1471-227X2022-10-012211910.1186/s12873-022-00729-yEvaluation of the factors affecting triage decision-making among emergency department nurses and emergency medical technicians in Iran: a study based on Benner’s theoryAghil Habibi Soola0Saeid Mehri1Islam Azizpour2Department of nursing, School of Nursing and Midwifery, Ardabil University of Medical SciencesDepartment of Emergency nursing, School of Nursing and Midwifery, Ardabil University of Medical SciencesDepartment of Emergency nursing, School of Nursing and Midwifery, Ardabil University of Medical SciencesAbstract 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.https://doi.org/10.1186/s12873-022-00729-yTriage decision-makingEmergency Department NursesEmergency Medical TechniciansBenner’s theoryIran |
| spellingShingle | Aghil Habibi Soola Saeid Mehri Islam Azizpour 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 BMC Emergency Medicine Triage decision-making Emergency Department Nurses Emergency Medical Technicians Benner’s theory Iran |
| 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 | Triage decision-making Emergency Department Nurses Emergency Medical Technicians Benner’s theory Iran |
| url | https://doi.org/10.1186/s12873-022-00729-y |
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