Progress testing in family medicine – A novel use for simulated office oral exams
Bibliographic record
Abstract
BACKGROUND: Simulated office orals (SOOs) are used by the College of Family Physicians of Canada as a method to evaluate family medicine resident readiness for clinical practice. The use of SOOs as a progress test would provide residency programs with useful information to determine resident readiness for challenging the certification exam. The data from a progress test could then be easily manipulated to generate a risk assessment plot. METHODS: During a prospective cohort study conducted at the University of Ottawa, the feasibility of using practice SOO sessions, a structured clinical exam, as a progress test was explored. Twenty-three residents participated in all four practice SOO sessions and their results were entered into a risk assessment plot. RESULTS: Repeated measures analysis of the data using ANOVA demonstrated that the residents' scores at each time point were statistically different from each other, generating an F(3, 66) = 27.52, p < 0.001, η(2) = 0.55.and that the relationship over time was linear with an F(1, 22) = 123.80, p < 0.001, η(2) = 0.85. At the final time point, a risk assessment resulted in no learners mapping to quadrants III or IV. CONCLUSIONS: Our results demonstrate the feasibility of utilizing a SOO exam, a clinical exam, as a progress test. In addition, we propose generating a risk assessment plot, using the data from the Fall 2013 and Spring 2014 practice SOO sessions, as a means of identifying residents at risk. Further studies will be needed to confirm the utility of this analysis. Combined with other measures acquired during in-training evaluation, the utilization of practice SOOs as a progress test will provide program directors with valuable information on resident progression.
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 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 | 0.003 | 0.057 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".