Wrongful Birth Litigation, Clinical Practice Guidelines on Prenatal Screening, and Implications for Physicians, Patients and Disabled Canadians
Bibliographic record
Abstract
Canadian clinicians must be aware of new standards of care resulting from national clinical practice guidelines, both to ensure best practice and to avoid malpractice litigation. Clinical practice guidelines can reduce successful malpractice actions through physician education and they may be used in court as evidence that the standard of care was met. The 2007 clinical practice guidelines on prenatal screening for fetal aneuploidy have expanded the potential for successful wrongful birth litigation and have set a new standard for family physicians, obstetricians, laboratory physicians, radiologists, geneticists, midwives, registered nurses, genetic counselors and ultrasound technicians.\nThe clinical practice guidelines on prenatal screening were endorsed by the Society of Obstetricians and Gynaecologists of Canada and the Canadian College of Medical Geneticists. The guidelines include the recommendation that all pregnant women be offered prenatal screening, rather than just women aged 35 years or more, the age at which the risk of losing a fetus as a complication of an amniocentesis is equal to the risk of giving birth to a child with Down syndrome. This recommendation was in response to the observation that 56% of women who give birth to a child with Down syndrome are under 35 years of age. New sensitive and noninvasive screening strategies have made this recommendation possible. Recent clinical practice guidelines in the United Kingdom, Australia, New Zealand and the United States, have similarly recommended offering of screening for Down syndrome to all pregnant women. It is too early to evaluate the legal impact of such clinical practice guidelines in these jurisdictions.
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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 | 0.023 | 0.158 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.013 | 0.015 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.019 | 0.014 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".