Informing Parents About Expanded Newborn Screening: Influences on Provider Involvement
Bibliographic record
Abstract
OBJECTIVE: Expanded newborn screening (NBS) identifies some disorders for which clinical benefit is uncertain, as well as "incidental" findings (eg, carrier status), thus enhancing the need to inform parents about NBS before sample collection. METHODS: A self-complete survey was sent to a cross-sectional, stratified, random sample of 5 provider groups in Ontario (obstetricians, midwives, family physicians, pediatricians, and nurses). Univariate and multivariate analyses were used to investigate the effects of core beliefs, perceived barriers, and demographic characteristics on the reported frequency of informing parents about NBS before sample collection. RESULTS: Virtually all of the midwives and almost half of the nurses reported discussing NBS with parents, whereas less than one sixth of the physicians did so. Providers who perceived a responsibility to inform parents were 3 times more likely to report doing so than those who did not perceive this responsibility (odds ratio: 2.9 [95% confidence interval: 2.1-4.1]). Those who lacked confidence to inform parents were 70% less likely to discuss NBS with parents compared with those who did not experience this cognitive barrier (odds ratio: 0.3 [95% confidence interval: 0.2-0.4]). Controlling for these covariates, family physicians and obstetricians were more likely than pediatricians to inform parents. CONCLUSIONS: These results provide guidance for capacity building among providers who are positioned to inform parents about NBS before sample collection. Our findings call for targeted educational interventions that consider patterns of provider practice related to prenatal and NBS care, seek to redress confidence limitations, and engage key provider groups in the importance of this professional responsibility.
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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 | 0.006 | 0.049 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".