Implementation challenges for an ethical introduction of noninvasive prenatal testing: a qualitative study of healthcare professionals’ views from Lebanon and Quebec
Bibliographic record
Abstract
BACKGROUND: The clinical introduction of non-invasive prenatal testing for fetal aneuploidies is currently transforming the landscape of prenatal screening in many countries. Since it is noninvasive, safe and allows the early detection of abnormalities, NIPT expanded rapidly and the test is currently commercially available in most of the world. As NIPT is being introduced globally, its clinical implementation should consider various challenges, including the role of the surrounding social and cultural contexts. We conducted a qualitative study with healthcare professionals in Lebanon and Quebec as case studies, to highlight the relevance of cultural contexts and to explore the concerns that should be taken into account for an ethical implementation of NIPT. METHODS: We conducted semi-structured interviews with 20 healthcare professionals (HCPs), 10 from each country, practicing in the field of prenatal screening and follow up diagnostic testing, including obstetricians and gynecologists, nurses, medical geneticists and, genetic counselors. We aimed to 1) explore HCPs' perceptions and views regarding issues raised by NIPT and 2) to shed light on ways in which the introduction of the same technology (NIPT) in two different contexts (Lebanon and Quebec) raises common and different challenges that are influenced by the cultural norms and legal policies in place. RESULTS: We identified challenges to the ethical implementation of NIPT. Some are common to both contexts, including financial/economic, social, and organizational/ educational challenges. Others are specific to each context. For example, challenges for Lebanon include abortion policy and financial profit, and in Quebec challenges include lobbying by Disability rights associations and geographical access to NIPT. CONCLUSIONS: Our findings highlight the need to consider specific issues related to various cultural contexts when developing frameworks that can guide an ethically sound implementation of NIPT. Further, they show that healthcare professional education and training remain paramount in order to provide NIPT counseling in a way that supports pregnant women and couples' choice.
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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 | 0.002 | 0.067 |
| 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 | 0.001 | 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".