Improving internal medicine residents' performance, knowledge, and confidence in central venous catheterization using simulators
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Efficacy of simulators in teaching central venous catheterization (CVC) in an internal medicine residency program is unknown. OBJECTIVE: To determine whether or not learning CVC on simulators is associated with improvement in performance of CVC, knowledge about the procedure, and self-reported confidence. METHODS: All consenting first-year internal medicine residents who completed training in CVC on simulators were included. Participants were evaluated pre- and post-training by video-recorded CVC insertion and multiple-choice knowledge assessments. Procedural technique was rated in a blinded fashion by two independent adjudicators. Knowledge retention and self-reported confidence were reassessed at 18 months. MEASUREMENTS: Primary outcome of CVC performance was assessed based on global rating score (minimum 1, maximum 5). Secondary measures include checklist score (out of ten), knowledge score and self-reported confidence (6-point Likert scale ranging from "none" to "complete"). RESULTS: Median global rating scores in 30 participants increased from 3.5 (IQR = 3-4) to 4.5 (IQR = 4-4.5) (P < 0.001). Checklist score increased from 9 (IQR = 6-9.5) to 9.5 (IQR = 9-9.5) (P < 0.001). Knowledge score increased from 65.7 +/- 11.9% to 81.2 +/- 10.7% (P < 0.001). Confidence increased from 3 ("moderate", IQR = 2-3) to 4 ("good", IQR=3-4) (P < 0.001). Sixteen participants completed the retention tests. Improvement in knowledge score and confidence at 18 months was retained compared with baseline (P = 0.002 and P < 0.0001 respectively). CONCLUSIONS: Use of simulators in teaching CVC in an internal medicine residency program results in improved procedural performance, knowledge, and self-reported confidence. Improvement in knowledge and confidence was retained at 18 months.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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