Nurse Turnover in Lebanese Hospitals
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Abstract
This article analyzes nursing staff turnover in Lebanese hospitals by examining its rates, causes, and the impact on healthcare quality and team dynamics. Survey data from nursing staff across Lebanese hospitals in 2022 are used to identify turnover factors. Descriptive statistics categorize turnover rates by hospital size and region. Structural equation modeling identifies key factors influencing turnover, such as work environment, compensation, professional development, and organizational support. The study reveals that high turnover rates negatively affect care quality and team stability, while extremely low turnover may hinder innovation. This research highlights the need for tailored retention strategies to improve nursing staff motivation, reduce turnover, and enhance hospital performance.