ABSTRACT
Introduction: Authentic leadership has been identified as a style needed to promote quality patient care and nurses' retention. Objective: The objective of this study was to investigate the correlation between the authentic leadership exhibited by nurse managers and the levels of resilience and self-efficacy among nurses. Methods: A descriptive correlational study was conducted in an Egyptian hospital. A sample of convenience nurses (N = 285) completed the Authentic Leadership Inventory, the Connor-Davidson Resilience Scale, and the General Self-Efficacy Scale. The data were analyzed with correlation and structural equation modeling. Results: The highest percentages of nurses (53.33% and 45.96%) perceived their nurse managers as having either moderate or high levels of authentic leadership. The majority of nurses rated themselves as moderately resilient (63.98%, 25.59 ± 6.56) and highly efficacious (76.70%, 30.68 ± 4.95). Furthermore, the analysis conducted using SPSS-AMOS reveals a significant positive association between the variables. Specifically, authentic leadership, along with its constituent components, accounts for approximately 22% of the overall variance observed in nurses' resilience. Additionally, it is shown that these same factors explain approximately 34% of the variance in nurses' self-efficacy. Moreover, the mediating role of self-efficacy was found to explain 49.3% of the variability in nurses' resilience. Conclusion: Nurse leaders should be aware of and implement effective and authentic leadership behaviors and apply tailored strategies for fostering nurses' resilience and self-efficacy to deal with the challenging healthcare environment.
ABSTRACT
Autistic spectrum disorder (ASD) is a neurodevelopmental condition that characterises a range of people, from individuals who are not able to speak to others who have good verbal communications. The disorder affects the way people see, think, and behave, including their communications and social interactions. Identifying autistic traits, preferably in the early stages, is fundamental for clinicians in expediting referrals, and hence enabling patients to access to required healthcare services. This article investigates various ASD behavioral features in toddlers and proposes a data process using machine-learning techniques. The aims of this study were to identify early behavioral features that can help detect ASD in toddlers and to map these features to the neurodevelopment behavioral areas of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). To achieve these aims, the proposed data process assesses several behavioral features using feature selection techniques, then constructs a classification model based on the chosen features. The empirical results show that during the screening process of toddlers, cognitive features related to communications, social interactions, and repetitive behaviors were most relevant to ASD. For the machine-learning algorithms, the predictive accuracy of Bayesian network (Bayes Net) and logistic regression (LR) models derived from ASD behavioral data subsets were consistent pinpointing to the suitability of ML techniques in predicting ASD.
ABSTRACT
BACKGROUND: Injury is an important cause of mortality and morbidity. It is the second most common cause of death in the United Arab Emirates (UAE) for the last 15 years, claiming more than 1200 lives annually. Those numbers can be significantly reduced through first aid (FA) education and training. The aim of this study was to investigate the knowledge and attitude toward FA in the UAE. METHODS: Self-administered questionnaires were distributed through nonprobability sampling method to more than 500 residents across the UAE, aged at least 30 years. Data collection was conducted between July 20, 2017, and September 20, 2017. The number of participants from each city was proportionate to the population size according to the latest available census. RESULTS: More than half of the population (54.2%) were not sufficiently knowledgeable about basic FA. Only 33.8% took an FA course. Age of the participants, higher education, and taking FA courses significantly increased the knowledge about basic FA information. Most of the population showed positive attitude toward FA and were willing to take an FA course in the future. CONCLUSION: The knowledge about FA in the UAE population is limited. FA courses must be made more accessible for the population and updated at frequent intervals. More emphasis should be given to basic FA information.
