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Decoding Nursing Job Demands: A Multicenter Cross-Sectional Descriptive Study Assessing Nursing Workload in Hospital

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This study identified key factors influencing nursing workload, distinguishing universal variables from context-specific ones. Understanding these dimensions is crucial for improving nursing practice and management.

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Area of Science:

  • Nursing
  • Healthcare Management
  • Occupational Health

Background:

  • Nursing workload is a critical factor in healthcare, yet its physical, mental, and emotional dimensions remain underexplored.
  • Existing research has identified a limited number of variables associated with nursing workload and work environments.

Purpose of the Study:

  • To determine if variables consistently correlating with nursing workload can be identified.
  • To differentiate between universal workload variables and those specific to particular care contexts.

Main Methods:

  • A descriptive correlational analysis was employed using a cross-sectional design.
  • Data were collected via surveys from registered nurses across Italy after randomly assigned shifts.

Main Results:

  • 456 surveys were analyzed from 195 shifts across six hospitals (four public, two private).
  • Commonly associated variables included patient complexity, admissions/discharges, patient/family communication, physician contact, and unscheduled activities.
  • Setting-specific variables comprised patient isolation, specialties, nurse-to-patient ratio, staffing adequacy, peer collaboration, documentation, education, and medical urgency.

Conclusions:

  • Certain variables consistently impact nursing workload across different settings, while others are context-dependent.
  • Measuring nursing workload across its various dimensions is essential for timely implementation of improvement strategies by nurses and managers.