Primary care role in expanded newborn screening: After the heel prick test.
Bibliographic record
Abstract
OBJECTIVE: To examine the role of primary care providers in informing and supporting families who receive positive screening results. DESIGN: Cross-sectional survey. SETTING: Ontario. PARTICIPANTS: Family physicians, pediatricians, and midwives involved in newborn care. MAIN OUTCOME MEASURES: Beliefs, practices, and barriers related to providing information to families who receive positive screening results for their newborns. RESULTS: A total of 819 providers participated (adjusted response rate of 60.9%). Of the respondents, 67.4% to 81.0% agreed that it was their responsibility to provide care to families of newborns who received positive screening results, and 64.2% to 84.8% agreed they should provide brochures or engage in general discussions about the identified conditions. Of the pediatricians, 67.3% endorsed having detailed discussions with families, but only 24.1% of family physicians and 27.6% of midwives endorsed this practice. All provider groups reported less involvement in information provision than they believed they should have. This discrepancy was most evident for family physicians: most stated that they should provide brochures (64.2%) or engage in general discussions (73.5%), but only a minority did so (15.3% and 27.7%, respectively). Family physicians reported insufficient time (42.2%), compensation (52.2%), and training (72.3%) to play this role, and only a minority agreed they were up to date (18.5%) or confident (16.5%) regarding newborn screening. CONCLUSION: Providers of primary newborn care see an information-provision role for themselves in caring for families who receive positive newborn screening results. Efforts to further define the scope of this role combined with efforts to mitigate existing barriers are warranted.
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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 | 0.002 | 0.008 |
| 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 | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".