Parental consent for newborn screening: \na discrete choice experiment
Bibliographic record
Abstract
Background: Parental consent is very commonly assumed for newborn bloodspot screening (NBS) \nin most Canadian provincial screening programs. This falls short of usual norms, and evidence \nsuggests that some parents would prefer an explicit process. This study was designed to inform \nimprovements in NBS consent processes. \nObjectives: (1) To examine parents’ past experiences with, and attitudes towards, NBS consent \nprocesses in Canada. (2) To quantify parents’ preferences towards specific attributes of the NBS \nconsent process, and identify characteristics of subgroups with different preference patterns. \nMethod: A cross-sectional survey that included a discrete choice experiment (DCE) was \nconducted to capture information on participants’ past experiences with and preferences for NBS \nconsent processes. DCE data were analyzed using conditional logit and latent class (LC) regression \nmodels. \nResults: The sample comprised 715 participants. As an overall group, respondents preferred to \nhave NBS information provided late in pregnancy, for consent not to be assumed by providers, and \nfor the consent decision to always be recorded. Three classes of participants with different \nunderlying preference patterns were identified in the sample. \nConclusion: If NBS programs wish to better meet parents’ preferenes, the results indicate specific \naspects of the consent process that could be targeted for further examination..
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".