Preparing Adults with Cerebral Palsy to Move from Assisted to Independent Living
Bibliographic record
Abstract
Background. To evaluate effectiveness of The Greenhouse for autonomy and independence to prepare adults with severe cerebral palsy (CP) for the transition from assisted to independent living. The intervention combines weekly individual sessions using Pathways and Resources for Engagement and Participation together with weekly group sessions. Method. Seven adults with severe CP ages 23–45 years (M = 35; SD = 10) participated in the 20-week program. An Interrupted Time Series quasi-experimental design was used, assessing the intervention effect over time. The Canadian Occupational Performance Measure was administered bi-weekly from baseline to post-intervention to assess activity performance. Functional Independence Measure (FIM), Wheelchair use Confidence scale (WheelCon) and Impact on Participation and Autonomy (IPA) were administered baseline (4 weeks pre-intervention), mid and post-intervention, using Freidman test. Interviews were conducted four weeks after intervention. Findings. All participants’ activity performance improved over time with significant clinical improvement in 95% of COPM goals. Significant improvement was seen in FIM (χ 2 = 8.07, p = .018) and WheelCon (χ 2 = 7.18, p = .028) though not in IPA. Participants described being better prepared, however more aware of challenges. Conclusion. The findings suggest the program may be effective to help adults with severe CP attain goals related to independent living and enhance function.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".