Predicting Patient Outcomes through Transformational Leadership and Change Management in the Riyadh Health Cluster: A Multiple Regression Analysis
Keywords:
Transformational Leadership, Change Management, Patient Outcomes, Healthcare Quality, Riyadh Health ClustersAbstract
This study investigates the relative influence of transformational leadership and change management on patient outcomes in the Riyadh Health Clusters through a rigorous quantitative approach. A structured questionnaire measuring transformational leadership, change management practices, and patient outcomes was administered to 384 healthcare professionals across three Riyadh Health Clusters. Stratified random sampling ensured representation of nurses, physicians, administrators, and technical staff. Data were analyzed using SPSS v27, employing multiple regression to evaluate both the independent and joint contributions of the two predictors at a 5% significance level. The combined model explained 66% of the variance in patient outcomes (R² = 0.66, F= 98.4, p < 0.05). Transformational leadership emerged as the stronger predictor (β = 0.58, t = 10.20, p < 0.05), while change management also had a significant but smaller effect (β = 0.24, t = 4.15, p < 0.05). Both transformational leadership and structured change management practices significantly enhance patient outcomes, with leadership exerting a more pronounced influence. These findings underscore the importance of developing inspirational leadership alongside robust change management frameworks to optimize care quality and organizational performance in healthcare settings.
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