Aim To explore predictors of perceived nursing workload in relation to patients, nurses, and workflow. Background Nursing workload is important to healthcare organizations. It determines nurses’ well-being and quality of care. Nevertheless, its predictors are barely studied. Methods Cross-sectional prospective design based on the Complex Adaptive Systems theory was used. An online survey asked nurses to describe perceived workload at the end of every shift. Data were gathered from five medical-surgical wards over three consecutive weeks. We received 205 completed surveys and tested multivariate regression models. Results Patient acuity, staffing resources, patient transfers, documentation, patient isolation, unscheduled activities, and patient specialties were significant in predicting perceived workload. Nurse-to-patient ratio proved not to be a predictor of workload. Conclusions This study significantly contributed to literature by identifying some workload predictors. Complexity of patient care, staffing adequacy and some workflow aspects were prominent in determining the shift workload among nurses. Implications for Nursing Management Our findings provide valuable information for top and middle hospital management, as well as for policymakers. Identification of predictors and measurement of workload are essential for optimizing staff resources, workflow processes, and work environment. Future research should focus on the appraisal of more determinants.

Background: Transformational leadership fosters trusting relationships; new visions; and personal, professional, and cultural growth. Effective leaders support their team’s motivational growth and organizational goals. This study aims to underscore the importance of transformational leadership and its various dimensions, focusing on its impact on job satisfaction and personal mastery among nursing leaders in healthcare organizations. Method: A cross-sectional design with convenience sampling was used. The evaluation tools included the Multifactor Leadership Questionnaire (MLQ-6S), the Satisfaction of Employees in Health Care (SEHC) questionnaire, and the Personal Mastery Scale (PMS). Results: The findings indicate that job satisfaction is influenced by transformational leadership, emphasizing the importance of tailored leadership development strategies within healthcare organizations. The laissez-faire leadership style was the only one showing no correlation with nurses’ job satisfaction. Other leadership styles showed significant positive or negative correlations with the analyzed variables. Conclusions: Transformational leaders are essential for fostering trust and enhancing job satisfaction in healthcare settings. Positive leadership styles contribute to higher levels of job satisfaction and personal mastery among nursing leaders. Conversely, laissez-faire and autocratic leadership styles can negatively impact performance and staff satisfaction. These findings highlight the critical role of leaders in creating positive work environments and supporting employee development and well-being in healthcare.

Introduction: Work contexts can affect nurses’ work and work outcomes. Work context factors of nurses, patients, or workflow can modulate nurses’ organization of work and determine increased workloads. Aim: The aim of this research was to analyze relationships between factors regarding the patient, the nurse, workflow, and nurses’ work organization, to investigate whether work organization is related to physical, mental, and emotional workloads, and to explore whether one dimension of workload influences the other dimensions. Methods: We used a cross-sectional design based on the Job Demand-Resources theory. We asked registered nurses, working in nine medical-surgical wards across three hospitals in Italy, to self-report on work organization and workloads regarding randomized shifts over three consecutive weeks. Four scales from the QEEW 2.0 questionnaire were used on an online survey for data collection. multivariable linear regressions with structural equation modelling were tested. The study was approved by the three local Ethics Committees. Results: We received 334 questionnaires regarding 125 shifts worked. Patient complexity (β = 0.347), patient specialties (β = 0.127), adequacy of staffing (β = −0.204), collaboration with colleagues (β = −0.155), unscheduled activities (β = 0.213), supply search (β = 0.141), and documentation (β = 0.221) significantly influenced nurses’ work organization. Nurses’ work organization was significantly related to physical, mental, and emotional nursing workloads. Conclusions: the patient, the nurse, and workflow aspects influence nurses’ work organization and workloads. Healthcare organizations, managers, and nurses should explore work settings to identify work turbulences early and implement strategies to improve nursing work conditions and workloads.