Risk for cardiovascular disease after pre-eclampsia: differences in Canadian women and healthcare provider perspectives on knowledge sharing
Bibliographic record
Abstract
A research-to-practice gap was identified in a study on knowledge sharing regarding future cardiovascular disease (CVD) risk associated with a previous diagnosis of pre-eclampsia (PE) during pregnancy, where 41% of healthcare practitioners did not inform patients of increased risk more than 50% of the time. Employing an empirical, sociological lens, we conducted interviews with women and healthcare providers from the same sample as that study. In this article, we analyse participants’ perceptions of and attitudes towards the relationship between PE and CVD risk, assessing how relationships between research findings, risk, pregnancy, and women’s health are understood and acted upon in Canadian healthcare. Relating empirical observations to larger debates surrounding knowledge sharing practices, we argue that structural, practical, and ideological barriers impede knowledge sharing between healthcare practitioners and patients. Patient perceptions and experiences of the knowledge sharing gap must be addressed in practical and structural changes to healthcare.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".