Planning and evaluating evidence-based perinatal nurse staffing

Area of Science:

• Healthcare Management
• Nursing Practice
• Health Services Research

Background:

• Nurse staffing is a critical, high-cost factor in healthcare.
• Inadequate staffing can lead to medical errors, missed care, and adverse patient outcomes.
• Overstaffing increases healthcare expenditures without proportional benefits.

Purpose of the Study:

• To introduce organizing frameworks for calculating and evaluating nurse staffing decisions.
• To provide evidence-based models for optimizing nurse staffing levels.
• To enhance the quality of patient care and healthcare cost-efficiency.

Main Methods:

• Building upon the American Nurses' Association's principle-based staffing models.
• Integrating Donabedian's framework for evaluating healthcare quality.
• Developing systematic approaches for nurse staffing calculation and evaluation.

Main Results:

• The proposed frameworks offer structured methods for nurse staffing decisions.
• These frameworks aim to mitigate risks associated with both understaffing and overstaffing.
• Implementation can lead to improved patient safety and resource allocation.

Conclusions:

• Effective nurse staffing frameworks are essential for quality healthcare delivery.
• Strategic staffing decisions impact patient outcomes and healthcare costs.
• The presented models provide a foundation for evidence-based nurse staffing practices.