Associations and Predictive Pathways Between Shared Governance, Autonomy, Magnet Status, Nurse-Sensitive Indicators,...

Area of Science:

• Nursing Science
• Healthcare Management
• Patient Safety

Background:

• Limited evidence exists on the impact of shared governance (SG) and autonomy on nurse-sensitive indicators (NSIs).
• Understanding these relationships is vital for improving healthcare quality.

Purpose of the Study:

• To investigate the influence of shared governance (SG), autonomy, and Magnet status on both nurse and patient outcomes.
• To identify key factors affecting nurse satisfaction and patient safety indicators.

Main Methods:

• A cross-sectional survey design was employed with 404 nurses across four hospitals.
• Statistical analyses, including descriptive statistics, ANOVAs, and path analysis, were used to examine associations between variables.

Main Results:

• Nurse managers reported higher levels of SG, autonomy, and satisfaction compared to staff nurses.
• Both SG and autonomy were identified as significant predictors of reduced patient falls and hospital-acquired pressure injuries.
• Nurses' autonomy, SG, and Magnet accreditation were significant predictors of increased nurse satisfaction.

Conclusions:

• Leadership endorsement of shared governance and autonomous nursing practice are essential strategies.
• Implementing these strategies can lead to enhanced nurse satisfaction and improved nurse-sensitive indicator outcomes.