Describing healthcare concerns of adolescents and adults with cerebral palsy
Bibliographic record
Abstract
To identify healthcare concerns of adolescents and adults with cerebral palsy (CP) followed in a multidisciplinary rehabilitation program and identify patient factors associated with the number of concerns raised. A retrospective chart review of initial consultations of 241 people with CP (53 % male) aged 14 years or older (mean 27 y 5mo, SD 13 y 2mo), over a three-year period. Descriptive statistics were used to summarize data and explore associations. Poisson’s regression was used to predict healthcare concerns from patient demographic factors. A total of 2237 distinct concerns were raised by the participants, with a median of 9 (range 1–34) concerns per person. Ten healthcare concern categories were reported by more than 25 % of the sample. Only age was associated with the number of healthcare concerns (r = 0.25, p < 0.001). Age and GMFCS significantly predicted total number of healthcare concerns. Adolescents and adults with CP reported a high number of healthcare concerns at the initial visit to the Transitional and Lifelong Care program and the number of concerns may increase with advancing age. The concerns identified span a variety of biopsychosocial spheres and supports the need for ongoing specialty and multidisciplinary care of this population through their adult years.
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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 | 0.004 |
| 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 | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".