When and by Whom Is Concern First Expressed for Children With Neuromotor Problems?
Bibliographic record
Abstract
OBJECTIVE: To describe when and by whom concern is first expressed for children referred to rehabilitation because of neuromotor problems. STUDY DESIGN AND SETTING: We conducted a survey of parents of 92 children (aged 0-6 years) who were on the waiting list for physical or occupational therapy services at rehabilitation centers in Montréal, Québec. We compared age of child at initial concern with who first expressed concern for children who were considered at risk due to their perinatal history of prematurity and those who were not born prematurely but were later diagnosed as having neuromotor problems. INTERVENTION: Parents were interviewed regarding their child's medical history and utilization of health care services. RESULTS: Parents were concerned later than physicians were regarding their child's development (mean difference, 8.2 months; 95% confidence interval [CI], 3.7-12.6 months). There was no significant difference in time of recognition of problems between the premature (10.2 months) and full-term (11.9 months) groups. Even after controlling for risk group, parental concern occurred later than physician concern (beta coefficient, 7.3; 95% CI, 2.5-12.2). The child's age at the time of initial concern was associated with the child's age at referral to rehabilitation (beta coefficient, 0.04; 95% CI, 0.01-0.06). CONCLUSIONS: Early recognition is important if a child is to benefit from early rehabilitation. It may be important to improve primary care screening of children for neuromotor problems and to increase parental awareness regarding normal motor development of their children. Prompt, simultaneous referral to medical evaluation and rehabilitation resources may decrease delays in rehabilitation.
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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 | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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 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".