<scp>OP20</scp>.05: Challenges to ultrasound training in obstetrics and gynecology: a survey across three Scandinavian countries
Bibliographic record
Abstract
The use of ultrasound is traditionally considered safe, although the quality of the examination is highly operator dependent. A more detailed understanding of factors that influence the acquisition of ultrasound skills is therefore needed. The aim of this study was to explore the association between clinical training characteristics and trainees' level of confidence in performing ultrasound scans. An e-survey was used to assess factors of importance to OB/GYN trainees' level of confidence in performing ultrasound scans in three Scandinavian countries (N = 977). Multiple linear regression models were used to explore the effect of length of stay in ultrasound units and clinical experience on trainees' ultrasound confidence. Exploratory factor analysis was then used to identify factors contributing to trainees' ultrasound confidence. Trainees' ultrasound confidence was compared to their expected levels of performance, and finally trainees' satisfaction with training was explored. The response rate was 70.1%. Clinical experience and length of stay in ultrasound units were predictors of trainees' ultrasound confidence (p < 0.001). For trainees to feel ‘confident’ in performing transvaginal- and transabdominal ultrasound scans more than 24 months of clinical experience and 12–24 days of training in ultrasound units were required. Three factors related to ultrasound confidence: Technical aspects, image perception, and integration of scan into patient care. There were significant differences between trainees' level of ultrasound confidence and expected levels of performance, P < 0.001. Trainees' satisfaction with the training was low. Clinical experience and length of stay in ultrasound units were both predictors of ultrasound confidence. Discrepancies between trainees' confidence and expected levels of performances and trainees' low satisfaction with the training raise concern about the adequacy of current ultrasound training programmes.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".