Bibliographic record
Abstract
OBJECTIVE: Australian screening programmes for congenital dislocation of the hip (CDH) are characterized by lower neonatal hip instability (NHI) detection rates than more successful international programmes. Through creating a quality, accountable clinical screening programme for NHI detection, the present study aimed to establish the true incidence of NHI in Australian babies and to eliminate 'late diagnosed' CDH. METHODS: Doctors responsible for routine neonatal care were made accountable for NHI detection and examined 5166 consecutive live births in the first days of life between 1989 and 2000. Techniques for clinical NHI detection were taught, and doctors practised with teaching-mannequins. Paediatricians clinically determined true positive NHI cases and managed them for a 12-month period. Peer review of NHI detection rates was introduced to encourage accountability. Surveillance for 'late diagnosed' CDH occurred regularly through a variety of methods. RESULTS: One hundred babies with NHI were detected (19.4 per 1000): 77% were female; 26% were breech presentation, 25% had a family history of hip instability; and all received some form of splinting. Follow up for 85% of these babies at 12 months revealed no significant complications. Extensive searching has revealed no baby with 'late diagnosed' CDH from the study population in 12 years. One baby commenced treatment late (at 4 months) because of a failure of process following early NHI detection. CONCLUSIONS: The true incidence of NHI in Australia is > or =19 per 1000 births. Successful clinical CDH screening programmes using primary care doctors can be created and might eliminate 'late diagnosed' CDH.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".