Parental preferences for neonatal resuscitation research consent: a pilot study
Bibliographic record
Abstract
OBJECTIVE: Obtaining informed consent for resuscitation research, especially in the newborn, is problematic. This study aimed to evaluate parental preferences for hypothetical consent procedures in neonatal resuscitation research. DESIGN: Mail-out survey questionnaire. SETTING/ PARTICIPANTS: Randomly selected parents who had received obstetrical or neonatal care at a tertiary perinatal centre. MAIN OUTCOME MEASURES: Parental levels of comfort (Likert-type scale 1-6) regarding different methods of obtaining consent in hypothetical resuscitation research scenarios. RESULTS: The response rate was 34%. The respondents were a group of highly educated women with a higher family income than would be expected in the general population. In terms of results, parents valued the impact the research would have on their baby and the importance of a positive interaction with the physicians conducting the research study. Parents felt most comfortable with prospective consent in the setting of prenatal classes or prenatal visits with a physician, but they were somewhat uncomfortable with prospective consent upon admission to hospital after labour had begun. Parents were uncomfortable with waived consent, deferred consent, and opting out, no matter when during the pregnancy consent was requested. CONCLUSION: This pilot study reports parental preferences for prenatal information and consent for such research trials of neonatal resuscitation. A low response rate and potentially skewed demographics of the respondents prevent generalisability of this result. Interview studies should be performed to better determine parental preferences for informed consent in a more representative population.
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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 | 0.024 | 0.045 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".