Unveiling the performance of the prehospital Rapid Emergency Medicine Score (pREMS): How the predictive score impacts in-hospital outcomes in traumatic brain injury (TBI): A retrospective observational cohort study.

INTRODUCTION: This study aimed to evaluate the predictive accuracy of the prehospital rapid emergency medicine score (pREMS) for predicting the outcomes of hospitalized patients with traumatic brain injury (TBI) who died, were discharged, were admitted to the intensive care unit (ICU), or were admitted to the operating room (OR) within 72 h. METHODS: A retrospective cohort analysis was performed on a sample of 513 TBI patients admitted to the emergency department (ED) of Besat Hospital in 2023. Only patients of both sexes aged 18 years or older who were not pregnant and had adequate documentation of vital signs were included in the analysis. Patients who died during transport and patients who were transferred from other hospitals were excluded. The predictive power of the pREMS for each outcome was assessed by calculating the sensitivity and specificity curves and by analyzing the area under the receiver operating characteristic curve (AUROC). RESULTS: The mean pREMS scores for hospital discharge, death, ICU admission and OR admission were 11.97 ± 3.84, 6.32 ± 3.15, 8.24 ± 5.17 and 9.88 ± 2.02, respectively. pREMS accurately predicted hospital discharge and death (AOR = 1.62, P < 0.001) but was not a good predictor of ICU or OR admission (AOR = 1.085, P = 0.603). The AUROCs for the ability of the pREMS to predict outcomes in hospitalized TBI patients were 0.618 (optimal cutoff point = 7) for ICU admission and OR and 0.877 (optimal cutoff point = 9.5) for hospital discharge and death at 72 h. CONCLUSION: The results indicate that the pREMS, a new preclinical trauma score for traumatic brain injury, is a useful tool for prehospital risk stratification (RST) in TBI patients. The pREMS showed good discriminatory power for predicting in-hospital mortality within 72 h in patients with traumatic brain injury.

Navigating into the unknown: exploring the experience of exposure to prehospital emergency stressors: a sequential explanatory mixed-methods.

INTRODUCTION: The unpredictability of prehospital emergencies combined with constantly changing circumstances can lead to increased stress and mental health issues among Emergency Medical Technicians (EMTs). To accurately determine the stress-inducing factors in the prehospital environment, it is important to first identify the stressful events that occur in this environment. Therefore, this study strives to provide a thorough analysis of the stressors in the prehospital environment. METHODS: Sequential explanatory mixed methods were conducted in Hamadan prehospital emergency centers in 2022. The study included 251 EMTs, who were selected through a method in the quantitative phase. The quantitative part used a questionnaire consisting of basic information and the Posttraumatic Stress Questionnaire (PCL-5). In the qualitative phase, 17 with extensive experience in dealing with prehospital stressors were selected based on their PCL-5 scores (above 33). The qualitative phase analysis was carried out using the contractual content method using the Graneheim and Ladman's approach. Statistical analyzes for the quantitative and qualitative phases were performed using SPSS 21 and maxqda 10, respectively. RESULTS: The study revealed that the EMTs had an average PTSD score of 21. 60 ± 11. 45. Multivariate linear regression analysis showed that the number of shifts had a statistically significant relationship with PTSD scores (t = 26.38, P < 0.001). The qualitative phase of the study included 17 interviews, resulting in 14 subcategories, which consisted of four categories: "the overall impact of the stress crisis on technicians," "missing links in the communication network in incident management," "professional shortcomings in pre-hospital care," and "the complex and multifaceted context of stressful pre-hospital emergencies." Additionally, the study's theme was centered around "surveying the experiences of EMTs in stressful environments." CONCLUSION: As the number of shifts increased, the primary cause of the high prevalence of PTSD in EMTs was revealed. Prehospital emergency stress can be reduced and managed more skillfully by adjusting various factors such as shortening workdays, offering continuous training, augmenting workforce, supplying ambulance equipment insurance, refraining from hiring personnel devoid of clinical training, hiring psychologists, hiring midwives in an emergency, updating prehospital protocols and guidelines, encouraging cooperation between EMTs and other relief groups, and utilizing cutting-edge technologies.

Patients' bill of rights and effective factors of workplace violence against female nurses on duty at Ilam teaching hospitals.

BACKGROUND: Workplace violence against female nurses is an increasing problem. In addition, recognition the rights of patients can reduce such violence against female nurses. Therefore, the aim of the current study was to investigate workplace violence against female nurses in respect with patients' bill of rights at two public hospitals of Ilam in 2012. METHODS: In a descriptive cross-sectional research, workplace violence against female nurses was studied. Data were gathered employing a researcher made questionnaire filled out by 106 female nurses. The questionnaire was on workplace, physical and verbal violence of patients and their attendants, and also the patient's rights as respected by nursing staff. Permission of university ethics committee was obtained. Data analyses were done by T-test and ANOVA in SPSS software. RESULTS: Totally, 90.6 % and 15.1 % of the participants were subjected to verbal and physical assaults by patients, respectively during last year of the study. Further, 92.5% and 11.3% of nurses experienced verbal and physical assaults by the patients' attendants, respectively. Most of the nursing staff believed that reporting aggressive attacks to the concerned officials would not be useful. A negative significant correlation was found between the aggressions of patients with age as well as marital status of nurses, (P= 0.04). Furthermore, a significant association was seen between physical violence of patients and the nurses' recognition of the patients' bill of rights (P= 0.03). CONCLUSIONS: Due to high rate of violence against female nurses, some proper and effective actions such as employing a trained security force along with legal punitive charges against violators through responsible officials are highly suggested.