Insights into an innovative point of care ultrasound curriculum for Ontario primary maternity care providers
Bibliographic record
Abstract
Point of care ultrasound (POCUS) has increasingly been used by midwives worldwide. In 2018, the scope of midwifery care in Ontario was expanded to include POCUS to allow practitioners to provide more comprehensive care. In response to the scope expansion, a new continuing POCUS education course was created in collaboration with faculty and clinicians from obstetrics, midwifery, and medical radiation sciences. The continuing education sonography course focused on fostering the knowledge, skills and judgment Ontario midwives required to safely perform these new POCUS skills. The course included online modules, a two-day hands-on bootcamp workshop, and a clinical practicum under the supervision of a sonographer to confirm competency across the three trimesters of pregnancy. This paper outlines the process for POCUS curriculum development and implementation in pregnancy care following course completion. The first cohort of 17 learners completed the course in 2019. The new curriculum was well received by learners for learning and applying bedside sonography in clinical care. The indications to use POCUS most frequently reported by learners after course completion included assessment of pregnancy viability and fetal presentation. Challenges identified by participants with the course included learning new content such as physics and struggling to complete the clinical practicum due to the coronavirus pandemic. The success of this course is indicated by the completion of the objective structured clinical exams for all learners and meeting the competencies for beginning their practicum. The POCUS continuing education course plays an important role in providing the knowledge, skills and ability to perform point of care pregnancy scans among midwives.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".