Obstetrical provider knowledge and attitudes towards cell–free DNA screening: results of a cross-sectional national survey
Bibliographic record
Abstract
BACKGROUND: Cell-free DNA (cfDNA) screening has recently acquired tremendous attention, promising patients and healthcare providers a more accurate prenatal screen for aneuploidy than other current screening modalities. It is unclear how much knowledge regarding cfDNA screening obstetrical providers possess which has important implications for the quality and content of the informed consent patients receive. METHODS: A survey was designed to assess obstetrical provider knowledge and attitudes towards cfDNA screening and distributed online through the Society of Obstetricians & Gynecologists of Canada (SOGC). Chi-squared tests were used to detect differences in knowledge and attitudes between groups. RESULTS: 207 respondents completed the survey, composed of 60.6% Obstetricians/Gynecologists (OB/GYN), 15.4% Maternal Fetal Medicine (MFM) specialists, 16.5% General Practitioners (GP), and 7.5% Midwives (MW). MFM demonstrated a significant trend of being most knowledgeable about cfDNA screening followed by OB/GYN, GP, and lastly MW in almost all aspects of cfDNA screening. All groups demonstrated an overall positive attitude towards cfDNA screening; however, OB/GYN and MFM demonstrated a significantly more positive attitude than GP and MW. Despite not yet being a diagnostic test, 19.4% of GP would offer termination of pregnancy immediately following a positive cfDNA screen result compared to none of the MFM and only few OB/GYN or MW. CONCLUSIONS: We have demonstrated that different types of obstetrical providers possess varying amounts of knowledge regarding cfDNA screening with MFM currently having greater knowledge to all other groups. All obstetrical providers must have adequate prenatal screening understanding so that we can embrace the benefits of this novel and promising technology while protecting the integrity of the informed consent process.
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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 | 0.004 |
| 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".