The effects of prenatal group genetic counselling on knowledge, anxiety and decisional conflict: issues for nuchal translucency screening
Bibliographic record
Abstract
This study evaluates the effects of prenatal genetic group counselling on women's anxiety, decisional conflict and levels of knowledge. Participants (N=271) were aged 35 years and older. ANOVA results indicated that pre/postcounselling scores for anxiety did not change significantly, while decisional conflict decreased significantly (P<0.001). Pre/postcounselling scores on two different knowledge measures were analysed using 2x3 mixed ANOVAs for time by highest level of education and by having discussed prenatal diagnosis with one's health care provider. No potential interactions were statistically significant; time alone had a strong significant effect for both knowledge measures (P<0.01); P<0.01, respectively), suggesting that the effects of the counselling intervention were robust. Group genetic counselling is an effective method for education and decision support in the prenatal context, and may serve as a model for other clinical populations facing genetic screening decisions.
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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".