Combination of different clinical reasoning tests in a national exam.
Bibliographic record
Abstract
INTRODUCTION: Clinical reasoning as a critical and high level of clinical competency should be acquired during medical education, and medical educators should attempt to assess this ability in medical students. Nowadays, there are several ways to evaluate medical students' clinical reasoning ability in different countries worldwide. There are some well-known clinical reasoning tests such as Key Feature (KF), Clinical Reasoning Problem (CRP), Script Concordance Test (SCT), and Comprehensive Integrative Puzzle (CIP). Each of these tests has its advantages and disadvantages. In this study, we evaluated the reliability of combination of clinical reasoning tests SCT, KF, CIP, and CRP in one national exam and the correlation between the subtest scores of these tests together with the total score of the exam. METHODS: In this cross sectional study, a total number of 339 high ranked medical students from 60 medical schools in Iran participated in a national exam named "Medical Olympiad". The ninth Medical Olympiad was held in Shahid Beheshti University of Medical Sciences, Tehran, Iran, under the direct supervision of the Ministry of Health and Medical Education in summer 2017. The expert group designed a combination of four types of clinical reasoning tests to assess both analytical and non-analytical clinical reasoning. Mean scores of SCT, CRP, KF, and CIP were measured using descriptive statistics. Reliability was calculated for each test and the combination of tests using Cronbach's alpha. Spearman's correlation coefficient was used to evaluate the correlation between the score of each subtest and the total score. SPSS version 21 was used for data analysis and the level of significance was considered <0.05. RESULTS: The reliability of the combination of tests was 0.815. The reliability of KF was 0.81 and 0.76, 0.80, and 0.92 for SCT, CRP, and CIP, respectively. The mean total score was 169.921±41.54 from 240. All correlations between each clinical reasoning test and total score were significant (P<0.001). The highest correlation (0.887) was seen between CIP score and total score. CONCLUSION: The study showed that combining different clinical reasoning tests can be a reliable way of measuring this ability.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".