Miller · Simulation in healthcare : journal of the Society for Simulation in Healthcare 2025 · prospective observational repeated-measures study · n=29

Debriefing Is Germane to Simulation-Based Learning: Parsing Cognitive Load Components and the Effect of Debriefing.

Level 4 - case-series / case-control

Prospective observational repeated-measures study without a separate control group

PubMed 40136013 · doi:10.1097/SIH.0000000000000854 · record verified 2026-08-26

What was done

A prospective observational study evaluated cognitive load (CL) measurements across 10 individual-learner simulations in first-year anesthesiology residents. Immediately following each simulation and prior to debriefing, participants completed four self-report instruments: the Paas scale, the NASA-Task Load Index (NASA-TLX), the Cognitive Load Component questionnaire (CLC), and the Cognitive Load Assessment Scales in Simulation (CLAS-Sim). Following debriefing, participants completed the Paas and CLAS-Sim scales a second time to assess the effect of debriefing on CL components (intrinsic load [IL], extraneous load [EL], and germane load [GL]).

What was found

Among 29 participants, correlations across total CL measures ranged from r = 0.51 to 0.69 (all P < 0.01). Component correlations between CLC and CLAS-Sim were r = 0.66 for IL, r = 0.41 for EL, and r = 0.61 for GL (all P < 0.01). Case complexity had a significant main effect on CLC and CLAS-Sim IL, with a significant interaction between total CL measures and case complexity. CLAS-Sim EL was higher than CLC EL across cases (P = 0.001), while GL showed no significant difference between scales. Following debriefing, participants reported significantly higher CLAS-Sim GL compared to pre-debriefing values (P < 0.001), with no significant differences observed in IL, EL, or Paas scores.

Why it matters

This study provides construct validity evidence for using the CLAS-Sim instrument in medical simulation and demonstrates that post-simulation debriefing specifically boosts germane cognitive load.

Limits

The sample size was small (29 participants) and limited to first-year anesthesiology residents, restricting generalizability. There was no randomized control group without debriefing, and all cognitive load assessments relied entirely on subjective self-report scales rather than objective neurophysiological metrics or subsequent performance testing.