Aims: Because of the direct contact nurses have with patients, they are exposed to more stressful events during the outbreak of infectious diseases, which increases their turnover intention, highly impacting not only nurses, but also patients and organizations. The present study aimed to identify the predictors of turnover intention based on psychosocial factors in nurses of Ardabil pre‐hospital emergency and educational and medical centres during the COVID‐19 outbreak.Design: The present descriptive‐analytical study was conducted in June, 2020.Methods: A total of 479 nurses working in Ardabil pre‐hospital emergency and educational and medical centres to fight COVID‐19 were recruited for this study using the census method. Data were collected using the Demographic Information Questionnaire, Turnover Intention Questionnaire, Weiss & Marmar Impact of Event Scale‐Revised (IES‐R), General Health Questionnaire (12 C‐GHQ) and Job Content Questionnaire (JCQ). Data were analysed with SPSSv.22 software using correlation, t test, analysis of variance, multiple regression and descriptive tests.Results: The mean turnover intention score of nurses was 41.73 with a standard deviation of 12.11. The results of correlation coefficient revealed a positive relationship between PTSD, general health, job demand and job strain with turnover intention (p ≤ .01) and a positive and significant relationship between social support and turnover intention (p ≤ .01). Multiple regression analysis showed that the variables of gender, marital status, work position, decision latitude, social support, job strain, general health and post‐traumatic stress disorder (PTSD) were predictors of turnover intention.Conclusion: Job stressors during the COVID‐19 outbreak have led to an increase in nurses’ turnover intention. Identifying and managing the factors related to job stressors will make it possible to prevent nurses’ turnover intention in such critical situations.

Background: Electrocardiogram (ECG) interpretation is a core clinical skill that helps to rapid diagnosis of potentially life-threatening diseases. Misinterpretation of the electrocardiogram can lead to inappropriate clinical decisions with adverse outcomes. The main aim of this survey was to assess the competency of electrocardiogram interpretation and related factors among healthcare professionals and students of Ardabil University of Medical Sciences. Methods: This descriptive cross-sectional study included 323 staff and students of Ardabil University of Medical Sciences in northwestern Iran. Data were collected randomly from November to January 1400 using the Badell-Coll ECG Interpretation Competency Questionnaire and analyzed using SPSS V.14. Statistical analysis included descriptive statistics, independent t-test, ANOVA, Pearson correlation coefficient and multiple linear regression. Results: The results showed that the mean and standard deviation of electrocardiogram interpretation competency of health professional staff and students was 5.13 ± 2.25 (maximum score = 10). The large number of participants wasn’t able to identify normal sinus rhythm (n = 251, 77.3%), acute myocardial infarction (n = 206, 63.8%) and pathological Q waves (n = 201, 62.2%). The results of multiple linear regression showed that the variables of education level, self-assessment of electrocardiogram interpretation competence, work experience, and type of hospital were able to predict the competence of ECG interpretation in participants. Conclusions: Our findings showed that the participants’ level of electrocardiogram interpretation competency was low. Hence, regular, standard training and education are recommended. Also, managers and educators of the health system should consider the role of positive self-assessment and exposure to ECG interpretation in improving the competence of staff and students to interpret ECG.

Background: Eating behavior is an essential aspect of life that can have long-term effects on health outcomes. Nutrition literacy is crucial for better health and well-being. It empowers individuals to make informed decisions about their nutrition and take control of their eating habits. Objectives: This study aimed to assess the relationship between nutritional literacy and eating behavior among nursing students at the nursing faculties of Ardabil University of medical sciences. Methods: A cross-sectional correlational study was conducted in Ardabil province, northwest Iran. The study collected data through simple random sampling at nursing schools in Ardabil province, with 224 nursing students participating. The study collected data from a demographic information form, the nutritional literacy self-assessment questionnaire for students (NL-SF12), and the adult eating behavior questionnaire (AEBQ). The data were analyzed using SPSS version 14.0 software. Results: Based on the results, nutritional literacy explains 44% of the variance in eating behavior and shows significant explanatory power in two sub-scales of eating behavior. The adjusted R² values for food approach and food avoidance scales were 0.33 and 0.27, respectively. Conclusion: Given the significant relationship between nutritional literacy and eating behaviors among nursing students, nursing faculty managers and health policymakers should develop new public health strategies to increase nutritional literacy among nursing students.

Nursing managers have the potential to significantly impact the outcomes of nurses, patients, and organizations. Their competencies for effective performance are crucial. The global nursing workforce is facing a severe shortage of nurses. Dissatisfaction with management is one of the most important reasons for nurses’ inclination to leave their jobs. Therefore, this study examines the relationship between nursing managers’ competencies, job satisfaction and intention to leave among clinical nurses. An analytical cross-sectional study was conducted on 354 nurses in five hospitals affiliated with Ardabil University of Medical Sciences from May to August 2023. This research used web-based software to design demographic information forms, nurse manager competency scale, turnover intention, and single-item job satisfaction questionnaires. The significance level for the study was set at p < 0.05. This study revealed that participants had an average score of 3.06 out of 5 in perceived nurse manager competence. Only one-fourth of the participants (25.7%) were satisfied with their current job, and less than half (46.9%) intended to leave. Employee support and development, change and resource management, supervision and quality monitoring, and personal mastery positively influenced nurses’ job satisfaction. These competencies hurt employees’ intention to leave their jobs. The research findings indicate that nursing managers in Iran have lower competency than in previous studies. Developing and strengthening these competencies is very important, as it significantly improves job satisfaction and reduces nurses’ tendency to leave their jobs. Additionally, the results show that nursing managers who excel in supporting and developing staff, resource management, quality supervision, and personal mastery positively impact nurses’ job satisfaction. However, these competencies can also help reduce employees’ intention to leave their jobs. Retaining and maintaining nurses in the healthcare field is of utmost importance.