The Influence of Family Characteristics on Perinatal Decision Making
Bibliographic record
Abstract
OBJECTIVE: To determine whether parental characteristics affect estimates of best interests and intervention decisions for preterm infants. DESIGN AND METHODS: The study consisted of an anonymous questionnaire given to nurses, physicians, and students. The study included scenarios of 3 sets of parents, including a 16-year-old teenager, a couple who were lawyers, and a couple with a history of in vitro fertilization, about to deliver at 22 5/7 weeks, 24 weeks, or 27 5/7 weeks. Respondents were asked whether active intervention is in the infant's best interests and whether they would comply with family decisions. RESULTS: A total of 1105 questionnaires were sent out, with 829 respondents in Canada and the United States. At 22 5/7 weeks' gestation, 21% of the respondents thought that resuscitation was in the infant's best interest; among respondents who did not agree, 59% would intervene if the parents wished. At 27 5/7 weeks' gestation, 95% of respondents thought that resuscitation was in the infant's best interest, yet 34% would accept comfort care. Estimates of best interest, and willingness to comply, varied significantly by parental characteristics. At 22 5/7 weeks' gestation, 17% of respondents believed that resuscitation was in the best interest of the teenaged mother's infant compared with 26% of respondents who believed that resuscitation was in the best interest for the infants of the others; this difference persisted at 24 weeks. At 22 5/7 and at 24 weeks' gestation, compliance with active care despite believing that it not in the infant's best interest was significantly more frequent for the in vitro fertilization couple and the lawyers than for the teenaged mother. At 27 weeks' gestation, more than 93% of respondents complied for all parents. CONCLUSIONS: Caregivers frequently are ready to intervene actively, or not, despite believing that it is against the infant's best interest. Willingness to do so varies according to parental characteristics.
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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 | 0.004 | 0.040 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".