Comparison of Simulation‐based Resuscitation Performance Assessments With In‐training Evaluation Reports in Emergency Medicine Residents: A Canadian Multicenter Study
Bibliographic record
Abstract
OBJECTIVE: Simulation stands to serve an important role in modern competency-based programs of assessment in postgraduate medical education. Our objective was to compare the performance of individual emergency medicine (EM) residents in a simulation-based resuscitation objective structured clinical examination (OSCE) using the Queen's Simulation Assessment Tool (QSAT), with portfolio assessment of clinical encounters using a modified in-training evaluation report (ITER) to understand in greater detail the inferences that may be drawn from a simulation-based OSCE assessment. METHODS: A prospective observational study was employed to explore the use of a multicenter simulation-based OSCE for evaluation of resuscitation competence. EM residents from five Canadian academic sites participated in the OSCE. Video-recorded performances were scored by blinded raters using the scenario-specific QSATs with domain-specific anchored scores (primary assessment, diagnostic actions, therapeutic actions, communication) and a global assessment score (GAS). Residents' portfolios were evaluated using a modified ITER subdivided by CanMEDS roles (medical expert, communicator, collaborator, leader, health advocate, scholar, and professional) and a GAS. Correlational and regression analyses were performed comparing components of each of the assessment methods. RESULTS: Portfolio review and ITER scoring was performed for 79 residents participating in the simulation-based OSCE. There was a significant positive correlation between total OSCE and ITER scores (r = 0.341). The strongest correlations were found between ITER medical expert score and each of the OSCE GAS (r = 0.420), communication (r = 0.443), and therapeutic action (r = 0.484) domains. ITER medical expert was a significant predictor of OSCE total (p = 0.002). OSCE therapeutic action was a significant predictor of ITER total (p = 0.02). CONCLUSIONS: Simulation-based resuscitation OSCEs and portfolio assessment captured by ITERs appear to measure differing aspects of competence, with weak to moderate correlation between those measures of conceptually similar constructs. In a program of competency-based assessment of EM residents, a simulation-based OSCE using the QSAT shows promise as a tool for assessing medical expert and communicator roles.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".