Collecting evidence of validity for an assessment tool for Norwegian medical students’ non-technical skills (NorMS-NTS): usability and reliability when used by novice raters
Bibliographic record
Abstract
BACKGROUND: The NorMS-NTS tool is an assessment tool for assessing Norwegian medical students' non-technical skills (NTS). The NorMS-NTS was designed to provide student feedback, training evaluations, and skill-level comparisons among students at different study sites. Rather than requiring extensive rater training, the tool should capably suit the needs of busy doctors as near-peer educators. The aim of this study was to examine the usability and preliminary assess validity of the NorMS-NTS tool when used by novice raters. METHODS: This study focused on the usability of the assessment tool and its internal structure. Three raters used the NorMS-NTS tool to individually rate the team leader, a medical student, in 20 video-recorded multi-professional simulation-based team trainings. Based on these ratings, we examined the tools' internal structure by calculating the intraclass correlation coefficient (ICC) (version 3.1) interrater reliability, internal consistency, and observability. After the rating process was completed, the raters answered a questionnaire about the tool's usability. RESULTS: The ICC agreement and the sum of the overall global scores for all raters were fair: ICC (3,1) = 0.53. The correlation coefficients for the pooled raters were in the range of 0.77-0.91. Cronbach's alpha for elements, categories and global score were mostly above 0.90. The observability was high (95%-100%). All the raters found the tool easy to use, none of the elements were redundant, and the written instructions were helpful. The raters also found the tool easier to use once they had acclimated to it. All the raters stated that they could use the tool for both training and teaching. CONCLUSIONS: The observed ICC agreement was 0.08 below the suggested ICC level for formative assessment (above 0.60). However, we know that the suggestion is based on the average ICC, which is always higher than a single-measure ICC. There are currently no suggested levels for single-measure ICC, but other validated NTS tools have single-measure ICC in the same range. We consider NorMS-NTS as a usable tool for formative assessment of Norwegian medical students' non-technical skills during multi-professional team training by raters who are new to the tool. It is necessary to further examine validity and the consequences of the tool to fully validate it for formative assessments.
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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 | 0.015 | 0.096 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".