Choose wisely.

Area of Science:

• Healthcare Management
• Nursing Workforce Studies
• Health Services Research

Background:

• Optimal nursing staff numbers and skill mix are critical for patient safety and quality of care.
• Existing literature provides limited evidence-based guidance for nurse staffing decisions.
• Healthcare organizations face challenges in efficiently allocating nursing resources.

Purpose of the Study:

• To review and synthesize available information on determining optimal nursing staff numbers.
• To identify key factors influencing the ideal nursing staff mix.
• To provide a framework for evidence-based nursing workforce planning.

Main Methods:

• Systematic literature review of studies on nurse staffing levels and composition.
• Analysis of factors such as patient acuity, unit type, and organizational context.
• Synthesis of findings to identify best practices and knowledge gaps.

Main Results:

• Significant variability exists in current nurse staffing models.
• Patient acuity and dependency levels are primary drivers of staffing needs.
• The optimal skill mix depends on the specific clinical setting and patient population.

Conclusions:

• There is a critical need for standardized, evidence-based approaches to nurse staffing.
• Further research is required to develop robust models for nursing workforce optimization.
• Implementing data-driven staffing strategies can improve healthcare outcomes and operational efficiency.