Prenatal diagnosis for detecting congenital malformations: acceptance among Israeli Arab women.
Bibliographic record
Abstract
BACKGROUND: A high rate of consanguineous marriages exists within the Israeli Arab community, with approximately half occurring between first cousins. This contributes towards a high incidence of congenital malformations and autosomal recessive diseases, many of which are detectable at prenatal diagnosis. OBJECTIVES: To assess the levels of both awareness and acceptance regarding prenatal diagnosis and termination of pregnancy among a group of Arab women in order to devise the optimal means of providing genetic counseling and general health services. METHODS: A total of 231 Arab women of childbearing age were interviewed 3 days postpartum to assess their knowledge of prenatal diagnosis and termination of pregnancy, their willingness to undergo prenatal diagnosis, and their opinions on termination of pregnancy in the event of a severely affected fetus. RESULTS: Half the women believed that prenatal testing is not an effective (or accurate) tool for diagnosing an affected fetus. A quarter had poor knowledge on prenatal diagnosis, and a quarter believed that prenatal diagnosis does provide the correct diagnosis. Ninety-five percent said they would agree to undergo prenatal diagnosis; and in the event of a severely affected fetus, 36% said they would agree to a termination of pregnancy, 57% said they would not, and 7% were undecided. CONCLUSIONS: There is a need for special intervention programs, with guidance by health professionals, geneticists and religious authorities, that will inform this population on the increased risk associated with consanguinity, stress the importance and effectiveness of prenatal testing to identify severe congenital malformations, and help them to accept prenatal diagnosis and termination of pregnancy if indicated.
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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 | 0.002 |
| 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".