SACM - Jordan
Permanent URI for this collectionhttps://drepo.sdl.edu.sa/handle/20.500.14154/9658
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Item Restricted THE RELATIONSHIP BETWEEN FACIAL EMOTION RECOGNITION ABILITY AND SAUDI NURSES' PROFESSIONAL SELF-CONCEPT: A CROSS-SECTIONAL STUDY(Saudi Digital Library, 2025) Alruwaili, Ishraq Khurais Dhafi; Alsaqer, KhitamBackground: Facial emotion recognition (FER) is a crucial component of emotional intelligence and leadership effectiveness in healthcare. Professional self-concept (PSC), representing a nurses' perception of their professional identity and competence, significantly impacts job satisfaction, resilience, and leadership behavior. Aim: To examine the relationship between facial emotion recognition ability and professional self-concept among Saudi nurses. XII Methods: A descriptive cross-sectional study was conducted in two governmental hospitals in Al-Jouf, Saudi Arabia. A convenience sample of 177 nurse completed an online questionnaire. FER ability was measured using the Reading the Mind in the Eyes Test (RMET), and PSC was assessed using the Nurses' Self-Concept Questionnaire (NSCQ). Data were analyzed using SPSS version 27, including descriptive statistics, Pearson correlation, and Simple linear regression analysis. Results: The results of the study showed a relatively high level of facial emotion recognition ability with a total score of (24.43). The level of professional self- concept among nurse was moderate and tended to increase with a total score of (192.59). The results showed a positive and statistically significant relationship between facial emotion recognition ability and nurse professional self-concept at a statistical significance level of 0.001. Finally, results of the study showed that facial emotion recognition ability is the only predictor of nurses’ awareness of Professional Self-Concept at the statistical significance level (0.001). The analysis shows that among the factors studied, only gender and facial emotion recognition ability were significant predictors of professional self-concept for Saudi nurses. XIII Conclusion: The study revealed a significant positive relationship between facial emotion recognition ability and professional self-concept among nurses in government hospitals in northern Saudi Arabia. Facial emotion recognition emerged as the strongest predictor of professional self-concept. Keywords: Facial emotion recognition, Self-concept, Nurses, Emotion, Saudi Arabia15 0Item Restricted THE RELATIONSHIP BETWEEN PERCEIVED WORKPLACE GOSSIP AND COGNITIVE DISSONANCE AMONG NURSES IN SAUDI ARABIA(Saudi Digital Library, 2025) Alruwaili, Latifah Munayzil Hurayth; Afaneh, TareqWorkplace gossip is a common psychosocial stressor in nursing that can undermine professional ethics, teamwork, and emotional well-being. In hierarchical and multicultural environments such as Saudi governmental hospitals, gossip may trigger cognitive dissonance, a psychological conflict between values and social interactions. This study aimed to examine the relationship between perceived workplace gossip and cognitive dissonance among nurses in northern Saudi Arabia. A descriptive cross-sectional correlational design was conducted with 167 Saudi nurses using convenience sampling. Data were collected through an online self-administered survey including the Workplace Gossip Scale (WGS), the Cognitive Dissonance Scale (CDS), and a sociodemographic questionnaire. Descriptive statistics, Pearson correlation, and multiple regression analyses were performed using SPSS v26. Results showed moderate to high levels of both gossip and cognitive dissonance. Significant positive correlations were found, with workplace gossip predicting 23.2% of the variance in cognitive dissonance. The findings suggest that addressing gossip through ethical leadership, open communication, and resilience training is essential to support nurse well-being and improve healthcare quality.19 0Item Restricted NURSING INFORMATICS COMPETENCY AND EFFECTIVE CLINICAL DECISION-MAKING AMONG NURSES IN SAUDI ARABIA(Saudi Digital Library, 2025) ALRUWAILI, SABIRIN; Al Osta, MohammadABSTRACT Introduction: Clinical Decision-Making (CDM) is among the essential skills in the nursing profession that affect the outcomes of provided care. Nurses utilize various resources to achieve optimal care outcomes, including nursing informatics tools and skills, where nurses’ competencies play a vital role. Aim: To examine the relationship between nursing informatics competency and the levels of clinical decision-making skills among nurses in Saudi Arabia. Methods: A descriptive correlational design with convenience sampling methods was used to conduct the current study. A self-report questionnaire that consists of questions about demographic characteristics, the Nursing Informatics Competency Assessment Tool (NICAT), and the Clinical Decision-Making in Nursing Scale (CDMNS). Data were collected between May and July 2024 using online Google Forms from registered nurses at three governmental hospitals in Saudi Arabia. Results: 160 registered nurses participated in the study. The results show that nurses in Saudi Arabia were “proficient” in their nursing informatics competencies with total scale average (M=110.5, SD ±24.3), and have a perceived “medium” level in their effective clinical decision-making with total average score (148.6, SD ±32.0). Moreover, there was a statistically significant strong linear relationship between nursing informatics competency and perceived levels of clinical decision-making (r=.734, p<.001). However, nursing informatics competency was the sole statistically significant predictor (β=0.7, p<.001) of their perceived level of clinical decision-making. Conclusion and Implications: The study presented the critical role of nursing informatics competency in clinical decision-making among nurses. The results highlight to the healthcare stakeholders and nursing management the importance of investing in targeted informatics training and the integration of nursing informatics clinical decision support tools into the clinical nursing practice. Moreover, the findings encourage researchers to explore additional factors influencing clinical decision-making through longitudinal and qualitative research methods to gain a deeper understanding of this complex process.33 0