Healthcare Worker Staffing Ratios Affect Methicillin-Resistant Staphylococcus aureus Acquisition

Stephanie Sikavitsas Johnson1, Matthew Steven Mietchen1,2, Eric Thomas Lofgren1

  • 1Paul G. Allen School for Global Health, College of Veterinary Medicine, Washington State University, Pullman, WA.

Abstract

Insights

Optimizing nurse-to-patient ratios in intensive care units (ICUs) significantly reduces methicillin-resistant Staphylococcus aureus (MRSA) acquisitions. Lowering nurse ratios drastically cuts MRSA rates, highlighting nursing staff as key to infection control.

Area of Science:

  • Infectious Disease Epidemiology
  • Healthcare Management
  • Critical Care Medicine

Background:

  • Methicillin-resistant Staphylococcus aureus (MRSA) poses a significant threat in intensive care units (ICUs).
  • Optimizing healthcare staffing is crucial for effective infection control and patient outcomes.
  • Understanding the impact of staffing variations on MRSA acquisition rates is essential for resource allocation.

Approach:

  • A simulation-based study using stochastic compartmental mathematical modeling was employed.
  • The model explored variations in nurse-to-patient ratios and intensivist staffing levels.
  • Simulations considered both infinite and finite workload conceptualizations over one-year periods, with 1000 repetitions per scenario.

Key Points:

  • Reducing nurse-to-patient ratios substantially decreased MRSA acquisitions. A 1:1 ratio led to a 65% reduction in infinite models and an 83% reduction in finite models.
  • Finite models showed exponential increases in MRSA with higher patient-to-nurse ratios (e.g., 348% increase for 6:1).
  • Variations in intensivist staffing had a comparatively modest impact on MRSA rates.

Conclusions:

  • Optimizing nursing staffing levels is critical for controlling MRSA infections in ICUs.
  • The impact of staffing on MRSA acquisition is significantly influenced by workload conceptualization (infinite vs. finite).
  • Findings provide practical insights for refining ICU staffing protocols to improve infection control outcomes.

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