BACKGROUND: Nurses, as the largest working group in the hospital, experience many problems, conflicts, and stressors in the workplace and family especially after the widespread distribution of coronavirus 2019 (COVID-19). OBJECTIVE: The perceived conflict and burnout among nurses, as well as the correlation between these two variables and the associated factors, were the main subjects of this study. METHODS: This cross-sectional study involved 256 nurses from three COVID-19 referral hospitals in northwest Iran. Participants completed demographic, work-family conflict (WFC), and burnout questionnaires. The nonparametric tests including Mann-Whitney U, Kruskal-Wallis, and Spearman correlation coefficient were applied to statistical analysis. RESULTS: The overall score of conflict was 55.3 (12.7). The time dimension received the highest score 11.4 (2.9). In terms of intensity 27.6 (8.7) and frequency 27.6(8.8), nurses had the most burnout in the lack of personal accomplishment dimension. All aspects of WFC, emotional exhaustion, and depersonalization characteristics of burnout had statistically significant positive correlations (p < 0.01). The ward, hospital and employment status variables were associated with WFC (p < 0.05). The association between taking the crisis management course and the severity of depersonalization, and the frequency of lack of personal accomplishment was confirmed (p < 0.01). Additionally, the frequency and severity of emotional exhaustion were associated with employment status and work experiences (p < 0.05). CONCLUSION: The findings showed that nurses had WFC and burnout rates that were above average. Regarding the negative effects of these two phenomena on health, and also nurse’s clinical practices, rearranging work conditions and providing better organizational support seem necessary.

Background: Youth is undeniably the most important force and resource of any country, thus, identifying the leading causes of death among them to develop preventable interventions is essential. This study aimed to determine the trend of mortality rate and the leading cause of death, based on the ICD-10, among young people in Iran.Methods: The present study is a retrospective cohort and examines the trend of Iranian youth mortality, aged 15-24 years, between 1990 and 2017. The data source was the Global Burden of Disease (GBD) website. Linear Regression analysis was used to measure the slope of changes in mortality rates and causes of mortality during the period, where "time" was the independent variable and "mortality rate" and "causes of mortality" were dependent variables.Results: the death rate of young people declined by 54% during the period, equal to an average of 1.37 units per year. The most common cause of death has been injuries (70%), and then NCDs (25%) and finally communicable diseases (5%). However, death due to injuries (except SUD) and communicable diseases (except HIV) declined significantly by 0.94 and 0.09 units per year, respectively (P<0.001), while, death due to the NCDs had an increasing trend by 0.12 units per year over 28 years (P=0.006).Conclusion: Examining past trends in death rates and causes strengthens insights into the state and future trends in health and death-related indicators, which are crucial for policy-making, especially in developing countries with limited resources.

Background:Patient safety is one of the most important elements of quality of healthcare. It means preventing any harm to the patients during medical care process.Objective:This paper introduces a cost-effective tool in which the Radio Frequency Identification (RFID) technology is used to identify medical errors in hospital.Methods:The proposed clinical error management system (CEMS) is consisted of a reader device, a transfer/receiver device, a database and managing software. The reader device works using radio waves and is wireless. The reader sends and receives data to/from the database via the transfer/receiver device which is connected to the computer via USB port. The database contains data about patients’ medication orders.Results:The CEMS has the ability to identify the clinical errors before they occur and then warns the care-giver with voice and visual messages to prevent the error. This device reduces the errors and thus improves the patient safety.Conclusion:A new tool including software and hardware was developed in this study. Application of this tool in clinical settings can help the nurses prevent medical errors. It can also be a useful tool for clinical risk management. Using this device can improve the patient safety to a considerable extent and thus improve the quality of healthcare.