Perspectives of Pregnant People and Clinicians on Noninvasive Prenatal Testing: A Systematic Review and Qualitative Meta-synthesis.
Bibliographic record
Abstract
Background: Pregnant people have a risk of carrying a fetus affected by a chromosomal anomaly. Prenatal screening is offered to pregnant people to assess their risk. In recent years, noninvasive prenatal testing (NIPT) has been introduced clinically, which uses the presence of circulating cell-free fetal DNA in the maternal blood to quantify the risk of a chromosomal anomaly. At present, NIPT is publicly funded for pregnancies at high risk of a chromosomal anomaly, and available to pregnant people at average risk if they choose to pay out of pocket. Methods: We performed a systematic review of primary, empirical qualitative research that describes the experiences and perspectives of pregnant people, their families, clinicians, and others with lived experience relevant to NIPT. We were interested in the beliefs, experiences, preferences, and perspectives of these groups. We analyzed the evidence available in 36 qualitative and mixed-methods studies using the integrative technique of qualitative meta-synthesis. Results: Most people (pregnant people, clinicians, and others with relevant lived experience) said that NIPT offered important information to pregnant people and their partners. Most people were very enthusiastic about widening access to NIPT because it can provide information about chromosomal anomalies quite early in pregnancy, with relatively high accuracy, and without risk of procedure-related pregnancy loss. However, many groups cautioned that widening access to NIPT may result in routinization of this test, causing potential harm to pregnant people, their families, the health care system, people living with disabilities, and society as a whole. Widened logistical, financial, emotional, and informational access may be perceived as a benefit, but it can also confer harm on various groups. Many of these challenges echo historical critiques of other forms of prenatal testing, with some issues mitigated or exacerbated by the particular features of NIPT. Conclusions: Noninvasive prenatal testing offers significant benefit for pregnant people but may also be associated with potential harms related to informed decision-making, inequitable use, social pressure to test, and reduced support for people with disabilities.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.075 | 0.217 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.007 | 0.008 |
| Bibliometrics | 0.012 | 0.015 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".