Noninvasive Prenatal Testing: Views of Canadian Pregnant Women and Their Partners Regarding Pressure and Societal Concerns
Bibliographic record
Abstract
BACKGROUND: Noninvasive prenatal testing (NIPT) provides important benefits yet raises ethical concerns. We surveyed Canadian pregnant women and their partners to explore their views regarding pressure to test and terminate a pregnancy, as well as other societal impacts that may result from the routinization of NIPT. METHODS: A questionnaire was offered (March 2015 to July 2016) to pregnant women and their partners at five healthcare facilities in four Canadian provinces. RESULTS: 882 pregnant women and 395 partners completed the survey. 64% of women anticipated feeling no pressure to take the test if it were offered routinely, and 39% were not concerned about routinization leading to increased pressure to terminate a pregnancy of a fetus with Down Syndrome. Regarding other social concerns possibly resulting from routinization, pregnant women were most concerned regarding a reduction in resources available for people with Down Syndrome and their families and least concerned regarding a decrease in the population of people with Down Syndrome. CONCLUSIONS: Our findings reflect the concerns expressed by pregnant women and their partners, both personal (pressure to test, pressure to terminate) and societal (e.g., regarding potential negative impact on people with disabilities and their families). Even if most women were not concerned about feeling pressured to test due to NIPT routinization, a large minority express concerns that should not be taken lightly. Moreover, a majority of respondents were concerned regarding pressure to terminate pregnancies due to NIPT routinization as well as regarding most societal impacts they were queried on, especially the possible future reduction in resources available for people with DS and their families. Canadian policy-makers should consider these potential negative ramifications of NIPT and ensure that appropriate social policies accompany 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 | 0.004 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".