Learning the Thyroid Examination-A Multimodality Intervention for Internal Medicine Residents
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Many physicians have inadequate physical diagnosis skills and cannot detect thyroid abnormalities on physical examination. PURPOSE: To evaluate a multimodality intervention to improve thyroid examination skills using a prospective controlled trial in first-year residents enrolled in an academic internal medicine program. METHODS: The intervention group received a 60-minute educational session during which an endocrinologist described anatomical landmarks, thyroid abnormalities, and examination techniques using a slide show, computerized animation, videotape, and live demonstration on a volunteer with goiter. Residents examined a normal and a goitrous thyroid under the observation of a preceptor and received an evidence-based handout on the thyroid examination. The control group received no specific intervention. Examination technique and identification of thyroid abnormalities were blindly assessed in 2 stations of an objective structured clinical examination (OSCE). RESULTS: Of the 19 residents in the intervention group and the 20 in the control group, 6 (32%) and 3 (15%), respectively, observed the neck for thyroid abnormalities (P = 0.3), 17 (90%) and 16 (80%) used proper hand position (P = 0.7), and 13 (68%) and 15 (75%) had the patient swallow while the neck was palpated (P = 0.7). There was a significant difference in the mean scores based on thyroid physical findings during the OSCE between the intervention and control groups (100 vs. 52.5 [maximal possible score = 200], P = 0.047). CONCLUSION: A 1-hour multimodality learning session furthered the ability of first-year internal medicine residents to detect thyroid abnormalities.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 it