Counseling regarding pregnancy--related drug exposures by family physicians in Ontario.
Bibliographic record
Abstract
BACKGROUND: Family physicians may play a significant role in providing information to their patients on the effects of medication exposure during pregnancy. Women must receive accurate information, as unrealistic perception of teratogenic risk may lead to inadequate treatment of maternal disease or termination of otherwise wanted pregnancies. OBJECTIVES: To collect data on the current practices of family physicians in providing information regarding pregnancy-related drug exposures, in particular, their confidence in providing counseling and their sources of information. METHODS: A mailed survey was sent to a random sample of family physicians in Ontario. Outcome measures included the proportion of family physicians that feel confident in providing counseling regarding drugs in pregnancy, most common resources, barriers to counseling and preferences for future educational programs. RESULTS: Of the 756 surveys, 400 (53%) were returned, 265 (66%) by practicing physicians caring for women of childbearing age. Most (80.3%) felt confident in providing counseling, though a majority (56%) stated that available sources of information are not adequate. The most commonly consulted source was the Motherisk Program (62%). Lack of evidence-based information was cited as the major barrier. CONCLUSIONS: Although family physicians were confident in providing counseling to pregnant patients with regards to drug use, more than one-half thought that the available sources of information are not adequate. The dissemination of more evidence-based information in this field is needed.
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 | 0.001 | 0.000 |
| 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 | 0.000 |
| 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".