Predictors of nursing staff turnover

Area of Science:

• Healthcare Management
• Nursing Workforce Studies
• Organizational Behavior

Background:

• Nursing turnover is a significant concern impacting patient care, hospital management, and the nursing profession.
• Existing research primarily focuses on staff nurses in the public sector, leaving gaps in understanding nurse manager turnover and private sector dynamics.

Purpose of the Study:

• To examine the turnover of staff nurses and nurse managers across both public and private hospital settings.
• To identify variables consistently associated with nurse turnover from existing literature.
• To utilize multiple regression analysis to predict turnover behavior for both staff nurses and nurse managers.

Main Methods:

• Literature review to identify consistent variables related to nurse turnover.
• Multiple regression analysis to predict turnover behavior.
• Comparative analysis of turnover in public vs. private hospitals and staff nurses vs. nurse managers.

Main Results:

• Identified key variables associated with nursing turnover across different sectors and roles.
• Multiple regression models were developed to predict turnover behavior.
• Highlighted methodological challenges common in nursing turnover research.

Conclusions:

• Despite methodological challenges, the study provides a clearer understanding of nursing turnover.
• Findings contribute to identifying predictors of turnover for staff nurses and nurse managers.
• Emphasizes the need for sector-specific and role-specific strategies to address nursing turnover.