A qualitative study of women and partners from Lebanon and Quebec regarding an expanded scope of noninvasive prenatal testing
Bibliographic record
Abstract
BACKGROUND: In the near future, developments in non-invasive prenatal testing (NIPT) may offer couples the opportunity to expand the range of genetic conditions tested with this technology. This possibility raises a host of ethical and social concerns, such as the type of information (medical vs. non-medical information) that couples might be exposed to and how this might complicate their informed decision-making. Currently, only limited research, mainly carried out in western countries, was conducted on women's and partners' views regarding the potential expansion of NIPT. METHODS: This study used semi-structured interviews with pregnant women and their partners to explore their views on future potential NIPT applications such as non-medical sex selection and non-medical traits, paternity testing, and NIPT use for fetal whole genome sequencing (FWGS). It was conducted in Lebanon and Quebec, as case studies to explore the impact of cultural differences on these views. RESULTS: We found no differences and many similarities when comparing the perceptions of participants in both contexts. While couples in both settings disapproved of the use of NIPT for non-medical sex selection and non-medical traits such as physical characteristics, they were near-unanimous about their support for its use for paternity testing in specific cases, such as legal doubts or conflicts related to the identity of the father. Participants were more ambivalent about NIPT for Fetal Whole Genome Sequencing. They supported this use to detect conditions that would express at birth or early childhood, while objecting to testing for adult-onset conditions. CONCLUSIONS: These results can further inform the debate on the future uses of NIPT and future policy related its implementation.
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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) | 0.000 | 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".