Are Clerks Proficient in the Basic Sciences? Assessment of Third‐Year Medical Students’ Basic Science Knowledge Retention and Reinforcement
Bibliographic record
Abstract
Introduction Basic sciences (anatomy, biochemistry, microbiology, pathology, pharmacology, physiology) are a cornerstone of undergraduate medical education (UME), as they provide a foundation for the development of clinical science knowledge and clinical reasoning skills. However, studies demonstrate that medical students’ basic science knowledge is not well retained. This lack of knowledge retention may also be contributing to the lack of proficiency of current trainees reported by clinical facilitators. Based on this evidence, there is a need for an educational model that ensures students are retaining fundamental basic science concepts prior to entering clerkship. Thus, the purpose of this study was to establish third‐year (clerks) medical students’ basic science knowledge retention and reinforcement during clerkship year. Methods A basic science assessment was created for each clerkship rotation (family medicine, psychiatry, paediatrics, obstetrics and gynaecology (OB/GYN), surgery, internal medicine). Assessments were distributed as a pre‐ and post‐test for each rotation to assess clerks’ knowledge retention and reinforcement of basic science concepts. i) Clerkship groups’ pre‐test scores were analyzed using an Analysis of Variance (ANOVA) to determine if rotation order had an effect on clerks’ performance, and ii) post‐test scores were compared (ANOVA) to establish if there were any differences between clerkship groups. iii) Pre‐test data was organized into quartiles, following which post‐test scores were analyzed (ANOVA, paired t‐test) to determine if the improvement of post‐test scores was influenced by pre‐test performance. Results i) There were no significant differences between group’s pre‐test scores regardless of rotation order ii) Data revealed no differences between clerkship groups’ pre‐test scores or post‐test scores (p>0.05). iii) Only the students falling in the lower quartiles on the pre‐test, demonstrated a significant improvement on the post‐test in all six clerkship rotations (p≤0.05). Conclusions Results indicate that rotation order had no effect on clerks’ pre‐test performance, suggesting that clerks’ basic science knowledge retention was not influenced by their prior clerkship experience. Our data also revealed that there were no differences between clerkship groups’ pre‐ and post‐test scores suggesting that all groups are comparable. Finally, we revealed that low performing students (pre‐test) demonstrated the greatest knowledge gain on the post‐test following each rotation, indicating that the clinical experience of clerkship reinforced fundamental basic science concepts. Overall, the findings of our research indicate that earlier clinical exposure may enhance low performing students’ basic science knowledge. Thus, future research should explore the influence of early integration between the basic sciences and clinical experiences on medical students’ clerkship performance. Support or Funding Information Ontario Graduate Scholarship, American Association for Anatomy Education Research Scholarship
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".