ArticleBMC emergency medicine2022
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.
Article in BMC emergency medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.
- Safety and Efficacy of Digital Check-in and Triage Kiosks in Emergency Departments: Systematic Review.Journal of medical Internet research · 2025Pooled it
- Workload, missed nursing care, ethical climate, and work interruptions among emergency department registered nurses: A descriptive-analytical study.International journal of nursing studies advances · 2026Article
- Article
- Impact of Patients, Nurses, and Workload on the Use of a Nurse-Initiated Pain Protocol at Triage in the Emergency Department: A Single-Center Retrospective Observational Study.Journal of clinical medicine · 2026Article
- Risk factors for mis-triage between medical and surgical causes in emergency patients with non-traumatic abdominal pain: a retrospective study.Frontiers in public health · 2026Article
- The effectiveness of the diversion of patients from an emergency department waiting room to a virtual medical consultation.Oxford open digital health · 2026Article
- Predictive values of news and Mts in patients presenting with dyspnea: A comparative cohort study.Northern clinics of Istanbul · 2026Article
- Moral distress in emergency nurses: a qualitative systematic review and meta-synthesis protocol.BMJ open · 2025Article
- Patient Satisfaction With the Level of Competence of the Triage Nurse in Hospital Emergency Departments.Journal of clinical nursing · 2025Article
- Artificial intelligence in emergency department triage: a scoping review on workload reduction and patient safety enhancement.Journal of Korean biological nursing science · 2025Review
- Triage decision-making levels and affective factors of nurses working in cardiovascular emergency department and intensive care units: a cross-sectional study.BMC nursing · 2025Article
- Nursing informatics and patient safety outcomes in critical care settings: a systematic review.BMC nursing · 2025Article
- Mass Casualty Incident Training in Immersive Virtual Reality: Quasi-Experimental Evaluation of Multimethod Performance Indicators.Journal of medical Internet research · 2025Article
- Evaluation of Emergency Severity Index (ESI) triage quality by nurses and associated factors in Iran.Journal of education and health promotion · 2024Article
- Is the Triage System Welcomed in the Tertiary Hospital of the Limpopo Province? A Qualitative Study on Patient's Perceptions.Nursing reports (Pavia, Italy) · 2023Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionEmergency 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.
objectiveThe 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
methodsOut 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.
resultsThe 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).
conclusionUnderstanding 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.
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