In Brief: Validity of Case Summaries in Written Examinations of Clinical Reasoning
Bibliographic record
Abstract
Construct: The purpose of this study was to provide initial evidence of the validity of written case summaries as assessments of clinical problem representation in a classroom setting. BACKGROUND: To solve clinical problems, clinicians must gain a clear representation of the issues. In the clinical setting, oral case presentations-or summaries-are used to assess learners' ability to gather, synthesize, and "translate" pertinent case information. This ability can be assessed in Objective Structured Clinical Examination and Virtual Patient settings using oral or written case summaries. Evidence of their validity in these settings includes adequate interrater agreement and moderate correlation with other assessments of clinical reasoning. We examined the use of written case summaries in a classroom setting as part of an examination designed to assess clinical reasoning. APPROACH: We developed and implemented written examinations for 2 preclerkship general practice courses in Years 4 and 5 of a 7-year curriculum. Examinations included 8 case summary questions in Year 4 and 5 in Year 5. Seven hundred students participated. Cases were scored using 3 criteria: extraction of pertinent findings, semantic quality, and global ratings. We examined the item parameters (using classical test theory) and generalizability of case summary items. We computed correlations between case summary scores and scores on other questions within the examination. RESULTS: Item parameters were acceptable (average item difficulty = 0.49-0.73 and 0.59-0.68 in Years 4 and 5; average point-biserials = 0.21-0.24 and 0.18-0.21). Scores were moderately generalizable (G coefficients = 0.40-0.50), with case-specificity a substantial source of measurement error (10.2%-19.5% of variance). Scoring and rater had small effects. Correlations with related constructs were low to moderate. CONCLUSIONS: There is good evidence regarding the scoring and generalizability of written case summaries for assessment of clinical problem representation. Further evidence regarding the extrapolation and implications of these assessments is warranted.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.042 | 0.280 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".