Waiting time for rehabilitation services for children with physical disabilities
Bibliographic record
Abstract
BACKGROUND: Early rehabilitation may minimize disability and complications. However, children often wait a long time to gain admission to rehabilitation centres. OBJECTIVES: To describe waiting times for paediatric physical and occupational therapy and to determine factors associated with these waiting times. RESEARCH DESIGN: The study was a prospective cohort design. Patients were followed from 1 January 1999 to 1 March 2000. SUBJECTS: All children with physical disabilities, aged 0-18 years, referred in 1999 from the Montreal Children's Hospital to paediatric rehabilitation centres. MEASURES: Data on date of referral, date of first appointment at the rehabilitation centre, age, gender, diagnosis, region and language were obtained from the rehabilitation transfer database. Primary family caregivers of children who were transferred to a rehabilitation facility participated in a telephone interview regarding their perceptions of the transfer process. RESULTS: There were 172 children referred to rehabilitation facilities. The mean age of the children was 2.5 years. Average waiting time was 157.4 days (SD 57.1) for occupational therapy and 129.4 days (SD 51.6) for physical therapy. Decreased waiting time was associated with living in the city as opposed to the suburbs (hazard ratio=1.77; 95% confidence interval=0.92-3.41) and inversely associated with age (hazard ratio=0.46; 95% confidence interval=0.34-0.62). Among the 41 primary family caregivers who participated in the survey, higher empowerment scores were associated with shorter waits for rehabilitation. CONCLUSION: Waiting time for rehabilitation services needs to be reduced. Empowered parents appear to manoeuvre within the system to reduce waiting times for their children.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".