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Numerical Assessment Tool to Measure Realism in Clinical Simulation.

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Summary

A new tool, ProRealSim v.1.0, objectively measures realism in clinical simulation. This digital platform enhances the study and didactic use of simulation-based learning (SBL) by quantifying realism across key dimensions.

Keywords:
fidelityhigh-fidelity simulationrealismsimulation-based learning

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Area of Science:

  • Medical Education
  • Simulation Technology
  • Quantitative Research Methods

Background:

  • Realism is crucial for effective clinical simulation learning.
  • Objective measurement of realism in simulation is lacking.
  • Standardized tools are needed to assess simulation fidelity.

Purpose of the Study:

  • To present the methodology of a novel numerical and digital tool, ProRealSim v.1.0, for objectively measuring realism in clinical simulation.
  • To develop a tool that assesses realism across three dimensions: simulated participant, scenography, and simulator.
  • To foster a culture of interpreting realism for improved study and didactic application.

Main Methods:

  • Development of ProRealSim v.1.0, incorporating indicators for accuracy and naturality.
  • Expert review (12 experts) of 73 initial qualitative indicators, reduced to 53 after a screening study of 8 medical simulation scenarios.
  • Statistical analysis including inter- and intra-observer concordance, correlation, internal consistency, and exploratory factorial analysis (p < 0.05).

Main Results:

  • ProRealSim v.1.0 quantifies realism across simulated participant, scenography, and simulator dimensions.
  • High internal consistency was achieved (raw_alpha ≥ 0.9698094).
  • Realism units were weighted based on variability and mathematical contribution to global and dimensional realism.

Conclusions:

  • ProRealSim v.1.0 provides an objective method to measure clinical simulation realism.
  • The tool is integrated into a free, open-access digital platform to support simulation-based learning.
  • The platform aims to enhance the study and didactic use of clinical simulation realism.