Rehabilitation status of children with cerebral palsy in Vietnam: findings from a cross-sectional hospital-based study
Bibliographic record
Abstract
Purpose To examine rehabilitation service use and associated factors among children with cerebral palsy (CP) in Vietnam.Materials and methods This study uses data from hospital-based surveillance of children with CP who attended the National Children’s Hospital, Hanoi between June and November 2017 using methodology modeled on the Pediatric Active Enhanced Disease Surveillance system in Australia. Descriptive statistics, exact tests, and logistic regression were used.Results Of 765 children with CP, 92.6% received rehabilitation services. The median age at first receipt of rehabilitation service was nine months. Physiotherapy (94.3%) was the most common service, followed by advice on treatment (21.5%), rehabilitation childcare, psychological counseling for parents and assistive devices (11.5%). Among children who received rehabilitation services, the majority (88.8%) received them at home.Lack of awareness of rehabilitation (98.2%) was the main barrier to service access. In univariate analysis, younger age (p < 0.01), no intellectual impairment (p < 0.001), Gross Motor Function Classification System levels IV-V (p < 0.05), and wasted weight-for-height (p < 0.05) were significantly associated with limited service use. In multivariate analysis, no intellectual impairment and wasted weight-for-height remained significant (p < 0.05).Conclusion While most children accessed rehabilitation services, younger age, severe motor impairment, and malnutrition were associated with limited access to these services.
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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 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".