Assessing unsafe behaviors and their relationship with work-related factors among EMS staff in Iran: a cross-sectional study.

BACKGROUND: Emergency Medical Services (EMS) staff often encounter various safety incidents. Work-related factors can lead to unsafe behaviors and safety incidents. This study assessed unsafe behaviors and their relationship with work-related factors among EMS staff. METHODS: This descriptive-correlational study used census sampling method to select 284 EMS staff in Ardabil Province, northwest of Iran, from April to June 2023. The data collection tools were demographic and occupational information form, Mearns Unsafe Behavior Scale, Cohen Perceived Stress Scale, Michielsen Fatigue Scale, and Patterson Teamwork Scale. The data were analyzed using the SPSSv-16, descriptive statistics, Pearson correlation, and multiple linear regression. RESULTS: The mean of unsafe behavior, fatigue, perceived stress, non-conflict of teamwork, and conflict of teamwork were 15.80 (± 4.77), 20.57 (± 6.20), 16.10 (± 6.13), 117.89 (± 17.24), and 40.60 (± 9.59), respectively. Multiple linear regression analysis showed that "partner trust and shared mental models (PTSMM)," "physical fatigue," "age," "type of shift," "employment status," and "overtime hours per month" were predictors of general unsafe behavior (P < 0.001) and "mild task conflict (MTC)," "employment status," "partner trust and shared mental models (PTSMM)" were predictors of unsafe behavior under incentives EMS staff (P < 0.001). CONCLUSION: The present study showed that some work-related factors were predictors of unsafe behaviors. The negative consequences of unsafe behaviors should be considered, and long-term planning should be done to reduce them. Developing specific guidelines for addressing unsafe behaviors, implementing measures to reduce fatigue, managing overtime hours in the workplace, and Establishing a system where novice staff work with experienced staff during their first year can be beneficial in reducing these behaviors among EMS staff.

Identifying the predictors of turnover intention based on nurse managers' toxic leadership behaviors among nurses in Iran: a cross-sectional correlational study.

BACKGROUND: Unfavorable leadership practices are a growing concern in the field of healthcare and nursing that have adverse consequences on nurses' career outcomes. One of the undesirable leadership styles is the toxic leadership style. Considering the importance of nursing managers' leadership style and its impact on nurses' performance and the scarcity of studies in this field, the present study was conducted to determine toxic leadership behaviors in nursing managers and their relationship with the turnover intention among nurses. METHODS: A multicenter cross-sectional correlational study. This study involved 551 nurses from 5 educational-medical centers in Ardabil province, north-western Iran. Three self-report scales, including The demographic and occupational information form, the Toxic Leadership Behaviors of Nurse Managers Scale (ToxBH-NM), and the turnover intention questionnaire were adopted for assessment purposes in this study. Data were analyzed using SPSS (Version 22) software using descriptive statistics, Pearson correlation coefficient test, t-test, ANOVA test, and multiple linear regression analysis. RESULTS: Overall, 551 nurses participated in this research. There was a significantly positive relationship between Turnover intention and Toxic leadership behavior Subscales (r = 0.475, p < 0.001). Furthermore, multiple linear regression analysis showed Toxic leadership behavior Subscales (Intemperate behavior, Narcissistic behavior, Self-promoting behavior, and Humiliating behavior), Hospital, unit, Age, and Marital status predict Turnover intention when other variables are controlled. CONCLUSION: A leader who directly and indirectly adopts toxic behavior toward their employees destructively affects both individuals and organizations. Nurses who work for a manager exhibiting toxic leadership behaviors demonstrated higher turnover intention.

Disaster preparedness knowledge and its relationship with triage decision-making among hospital and pre-hospital emergency nurses - Ardabil, Iran.

BACKGROUND: Hospital and pre-hospital emergency nurses are at the forefront of disaster response. Disaster incidents continue to pose a threat to healthcare systems by exposing them to an overwhelming surge of patients. METHODS: This descriptive cross-sectional study was performed on 472 hospital and pre-hospital emergency nurses in Ardabil province, in the northwest Iran, from March to April 2021, were recruited by convenience sampling method. Data were collected using valid and reliable self-reported questionnaires, including the Emergency Preparedness Information questionnaire (EPIQ) and Triage Decision-making Inventory (TDMI). Data were analyzed using SPSS (Version 22) software using descriptive statistics, Pearson correlation coefficient test, t-test, ANOVA test, and multiple linear regression analysis. RESULTS: Emergency nurses' disaster preparedness knowledge was low according to the mean score of total disaster preparedness knowledge. Furthermore, multiple linear regression analysis showed triage decision-making, age, residence, disaster preparedness training, working on duty during a disaster, and training organization variables were predictors of disaster preparedness knowledge in hospital and pre-hospital emergency nurses (p < 0.05). CONCLUSION: Emergency nurses who have higher disaster preparedness knowledge have higher triage decision-making skills. It is suggested that the managers of educational and medical centres and professional organizations provide favourable conditions for training and increasing disaster preparedness of emergency nurses according to their age and residence.

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.

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.

Determinants of quality of life among elderly patients with type 2 diabetes in northwest of iran: based on problem areas in diabetes.

Background: Diabetes is a metabolic disease characterized by chronic hyperglycemia, leading to damage to various organs of the patients and a reduction of their life expectancy and quality of life (QOL). The aim of this study was to explore the determinants of the QOL based on the Problem Areas in Diabetes (PAID). Methods: This cross-sectional study was carried out in an Iranian diabetic clinic in Ardabil. The PAID, the short form health survey (SF-12), and the sociodemographic questionnaire were all employed. Using the census sample method, 266 elderly people with type 2 diabetes from the lone diabetic clinic at Ardabil took part in this study. One-way ANOVA, t-test, one-sample Kolmogorov-Smirnov test, and multiple regression were used to analyze the data. Results: Data analysis showed that there was a statistically negative significant relationship between the QOL dimensions and the triple domains of PAID (p < 0.01). In the final model of the predictors of the QOL, treatment barriers, psychological distress related to diabetes management, the type of treatment, age, and the duration of diabetes were statistically significant predictors of the QOL dimensions (p>0.05). Conclusion: Individual characteristics and factors connected to health services should be prioritized in any intervention program aimed at improving the QOL of elderly patients with diabetes. Psychological distress should be considered in addition to regular physician visits.

Identifying the Predictors of Self-Management Behaviors in Patients with Diabetes Based on Ecological Approach: A Systematic Review.

BACKGROUND: Recognizing and promoting the factors that affect the self-management behaviors of diabetes lead to a reduction in the number of patients and an improvement in the quality of care. The ecological approach focuses on the nature of people's interactions with their physical and socio-cultural environments. OBJECTIVE: The purpose of this study was to identify the predictors of self-management behaviors with a comprehensive approach in these patients. METHODS: The keywords were investigated in the relevant national and international databases, including PubMed, Google Scholar, Science Direct, Scopus, and Scientific Information Database, Magiran, and Iran Medex, to obtain the articles published from 2009 to 2019. The search and article selection strategy was developed based on the Prisma checklist and was carried out in three steps. RESULTS: Most studies have shown that personal factors had the highest prediction power for the self-management of diabetes. The interpersonal factors, society and policy-making factors, and group and organization factors were then the most frequently reported predictors of self-management behaviors in diabetic patients. CONCLUSION: Self-management of diabetes is necessary for controlling it because 95% of care is done by the patient. When designing self-management interventions, factors are based on the individual level that is to increase self-management behaviors.

The impact of psychological factors on bereavement among frontline nurses fighting Covid-19.

The COVID-19 pandemic has considerably changed the workplace and social relationships of nurses. As potential factors, uncertainty, stigma, and exposure of nurses' families to risk have disturbed the process of providing healthcare services for patients infected by COVID-19. Accordingly, this study aimed at determining the impact of psychological factors on stigma among frontline nurses fighting COVID-19. The extant paper was carried out based on the descriptive-analytical method for April-June 2020. A total of 312 nurses working in educational-medical centers in Ardabil, Iran, were selected using the census method to participate in this research. To collect data, demographic features, stigma, mental health, perceived stress, and hardiness questionnaires were used. The collected data were analyzed using statistical correlation tests, multivariate regression, and descriptive tests through SPSS v.22 Software. The mean score of stigma in nurses equaled 28.36 ± 10.55. Results of the correlation coefficient showed a positive relationship between the mean score of stigma and stress (P ≤ 0.01) as well as the negative relationship between mental health and hardiness (P ≤ 0.01). Multivariate regression analysis indicated that mental health could be the predictor of stigma. Therefore, these factors should be identified and controlled to mitigate stigma under such critical circumstances.