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Reliability in healthcare simulation is challenged by design and social factors. This review examines how simulation attributes and simulated participant performance impact consistent assessment outcomes in health professions education.

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Area of Science:

  • Medical Education
  • Simulation Design
  • Assessment Reliability

Background:

  • Healthcare simulation is widely used for performance competency assessment.
  • Simulation reliability is crucial for consistent participant exposure to conditions.
  • Existing literature highlights simulation's vulnerability to design and social factors.

Purpose of the Study:

  • To define reliability in healthcare simulation.
  • To explore how simulation attributes challenge traditional reliability concepts.
  • To examine the impact of social factors and design on simulation reliability.

Main Methods:

  • Definitional review utilizing constructivist perspective and grounded theory.
  • Filtered articles (2009-2019) using keywords on simulation development and design.
  • Analyzed data through a framework of simulation as a social practice.

Main Results:

  • Healthcare simulation reliability is impacted by interactions between design attributes and simulated participant (SP) performance.
  • SP training aims to mitigate errors introduced by simulation design.
  • Inconsistent SP performance leads to setting errors, affecting competency achievement.

Conclusions:

  • Simulation design attributes and SP performance are key to achieving reliability.
  • Understanding these factors is vital for consistent and valid healthcare simulation assessments.
  • Further research should focus on refining simulation design and SP training to enhance reliability.