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Simulation-based learning impacts nurses' cognitive load. Optimizing simulation design by managing factors like fidelity and pre-briefing can improve learning outcomes for nurses.

Keywords:
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Area of Science:

  • Nursing Education
  • Healthcare Simulation
  • Cognitive Load Theory

Background:

  • Simulation-based learning is crucial for developing essential nursing skills.
  • High cognitive load in simulation can negatively impact learning outcomes for nurses.

Purpose of the Study:

  • To review and synthesize existing knowledge on nurses' cognitive load during simulation.
  • To summarize the various methods used to measure cognitive load in nursing simulations.

Main Methods:

  • An integrative review of peer-reviewed studies published after 2006.
  • Searches conducted across CINAHL, Medline, ProQuest Nursing and Allied Health, and ERIC databases.
  • Included studies focused on nurses and simulation, excluding advanced practice or interprofessional contexts.

Main Results:

  • Factors increasing cognitive load include simulation fidelity, time pressure, dual-tasking, interruptions, complexity, distractions, and mismatched objectives.
  • Factors optimizing cognitive load include prior experience, pre-briefing, scenario repetition, and worked-out modeling.
  • Both subjective and objective measures are valuable for understanding cognitive load and its relationships.

Conclusions:

  • Nursing simulation significantly influences cognitive load.
  • Adjusting simulation design to optimize cognitive load is key to enhancing learning.
  • Future research should employ validated measures and assess cognitive load with other variables to understand its impact on outcomes.