Background: As artificial intelligence (AI) becomes an integral part of healthcare, nursing practice is rapidly evolving, requiring a deeper understanding of how nurses’ attitudes toward AI influence essential competencies such as creative self-efficacy and clinical reasoning competency, both of which are crucial for delivering safe and effective patient care. Aim: This study aimed to explore the relationship between nurses’ AI-related attitudes, creative self-efficacy, and clinical reasoning competency. Methods: A cross-sectional descriptive-correlational design was employed, involving a convenience sample of 380 nurses working in critical care units at a university-affiliated hospital in Egypt. Data were collected using three validated instruments: the Nurses’ Artificial Intelligence Attitudes Scale, the Creative Self-Efficacy Scale, and the Clinical Reasoning Competency Scale. Data analysis included both descriptive and inferential statistics. Results: The majority of nurses demonstrated high levels of AI-related attitudes and clinical reasoning competency, while moderate levels of creative self-efficacy were observed. A strong positive correlation was found between AI attitudes and both creative self-efficacy and clinical reasoning competency (r = 0.559 and r = 0.728, p < 0.001, respectively). Regression analysis confirmed that AI attitudes were significant predictors of both creative self-efficacy and clinical reasoning competency, explaining 37.4% and 56.5% of their variance, respectively. Additionally, educational qualifications and years of nursing experience were identified as significant factors influencing these competencies. Conclusion and Implications: Positive attitudes toward artificial intelligence (AI) play a crucial role in enhancing nurses’ creative self-efficacy and clinical reasoning competency. Therefore, fostering positive perceptions of AI and providing targeted training are vital to prepare nurses for AI-integrated clinical environments. Integrating AI-focused content into nursing education and promoting continuous professional development are key strategies to strengthen nurses’ readiness to engage with AI-driven healthcare. Additionally, healthcare organizations and nursing leaders should create supportive environments that encourage AI adoption while preserving the principles of patient-centered care. Clinical trial number: Not applicable.

This study aimed to investigate the level of professional shared governance and career motivation and their relationship among nurses in Egypt. A cross-sectional survey was conducted. A total of 724 nurses working in inpatient medical, surgical, and critical care units in Alexandria Main University Hospital were recruited from May to August 2022. The Index of Professional Nursing Governance (IPNG) version 3.0 and the Career Motivation Scale were used for evaluation. The IPNG version 3.0 total score was 109.18 ± 22.76, that nurses perceived had a low level of professional shared governance; the access to information dimension achieved the highest average mean score (2.81 ± 0.76), followed by the ability to set goals and conflict resolution dimension (2.75 ± 0.53). On the other hand, the dimension of participation in the committee structure achieved the lowest average mean score (1.65 ± 0.37). The total score of career motivation was 69.82 ± 9.70 this reflects that nurses perceived a moderate level of career motivation. The career insight dimension achieved the highest average mean score (3.56 ± 0.34), while the career resilience dimension achieved the lowest average mean score (3.07 ± 0.49). Male nurses, less than 30 years old, had a bachelor’s degree in nursing sciences, and worked in the ICU had higher total scores of the IPNG and career motivation (P < 0.001). There was a positive correlation between the IPNG version 3.0 score and the Career Motivation Scale score (r = 0.239, P = 0.003). The study’s findings can serve as a theoretical foundation for nursing managers to re-plan the management model and develop appropriate methods to give better career planning for nurses.

Background: Patient safety remains a global priority, with nurses playing a crucial role in minimizing errors and improving patient outcomes. System thinking, which involves understanding how various components of a healthcare system interact, is increasingly recognized as essential for enhancing patient safety competencies. Aim: This study investigates the impact of systems thinking on patient safety competencies among nurses in critical care units, exploring the relationship between systems thinking and various subdomains of patient safety competencies. Methods: A cross-sectional study was conducted at all critical care units of Alexandria Main University Hospital, Egypt. Data were collected from a convenience sample of 289 nurses using the system thinking scale and the patient safety competency self-evaluation questionnaire. Correlation and regression analyses were performed to examine the relationship between systems thinking and patient safety competencies, controlling for demographic factors such as age, qualifications, and years of experience. Results: Nurses demonstrated moderate to high levels of systems thinking (mean = 82.36 ± 12.14) and patient safety competencies (mean = 162.74 ± 23.56). Strong positive correlations were found between systems thinking and patient safety competencies (r = 0.605, p < 0.05), particularly in areas such as error reporting, communication, and infection prevention. Regression analysis revealed that systems thinking significantly predicted patient safety competencies, increasing the explained variance from 58.8 to 67.7%. Conclusion: The findings highlight the critical role of systems thinking in enhancing nurses’ patient safety competencies. Nurses with higher systems thinking skills are better equipped to prevent errors and improve communication, ultimately enhancing patient care quality. Implications: Nursing schools should integrate system thinking into nursing curricula to prepare future nurses for complex healthcare environments. Healthcare organizations should incorporate system thinking into professional development programs to enhance the competencies of practicing nurses. Nurse managers can foster a culture of safety by promoting interdisciplinary collaboration and reflective practice. Broader adoption of system thinking can improve patient outcomes, especially in resource-constrained environments. Clinical trial number: Not applicable.

Background: Since nurses are at the frontline of healthcare delivery, their actions and understanding of the environment have a big impact on how long healthcare systems can last. It is essential to comprehend the elements that impact nurses’ sustainability consciousness to encourage ecologically conscious actions in the healthcare industry. Aim: This study aimed to explore the relationship between pro-social leader behaviors and nurses’ sustainability consciousness and testify to the mediating role of organizational culture in this relationship. Design: A cross-sectional descriptive correlational design by STROBE criteria was used. Methods and tools: An approach to a judgmental non-probability sampling technique was employed to obtain data from 350 nurses in an Egyptian hospital. Three measurement surveys were employed: Organizational Culture Survey, Prosociality Scale, and, Sustainability Consciousness Questionnaire (SCQ-S). Relationships were shown using structural equation modeling and descriptive and inferential statistics. Results: 53.4% of nurses have high perceptions of organizational culture, and the majority of nurses (85.7%) have high perceptions of prosocial leader behaviors. Furthermore, 60.9% of nurses have high perceptions of sustainability consciousness. Additionally, Prosocial leader behaviors positively correlated with organizational culture (r = 0.129) and nurses’ sustainability consciousness (r = 0.274). The indirect effect of prosocial leader behaviors on nurses’ sustainability consciousness through organizational culture is calculated by multiplying the coefficients of both direct effects (0.129 * 0.159 = 0.811). This means that for each unit increase in prosocial leader behaviors, we would expect a 0.811 unit increase in nurses’ sustainability consciousness through the mediating effect of organizational culture. The model appears to match the data well based on the model fit parameters (CFI = 1.000, IFI = 1.000, RMSEA = 0.114). Conclusions: The study highlights the impact of pro-social leader behaviors on nurses’ sustainability consciousness through the organizational culture as a mediating factor. Nursing Implications: Findings from this research can promote environmental stewardship and sustainable practices in the healthcare sector by illuminating the elements that can encourage and support a sustainability-oriented mindset among nurses. To promote a more sustainable future for the nursing profession, the findings can guide activities in nursing education, corporate culture transformation, and leadership development.