Community Stroke Rehabilitation Teams: Providing Home-Based Stroke Rehabilitation in Ontario, Canada
Bibliographic record
Abstract
BACKGROUND: Community stroke rehabilitation teams (CSRTs) provide a community-based, interdisciplinary approach to stroke rehabilitation. Our objective was to assess the effectiveness of these teams with respect to client outcomes. METHODS: Functional, psychosocial, and caregiver outcome data. were available at intake, discharge from the program, and six-month follow-up. Repeated measures analysis of covariance was performed to assess patient changes between time points for each outcome measure. RESULTS: A total of 794 clients met the inclusion criteria for analysis (54.4% male, mean age 68.5±13.0 years). Significant changes were found between intake and discharge on the Hospital Anxiety and Depression Scale total score (p=0.017), Hospital Anxiety and Depression Scale Anxiety subscale (p<0.001), Functional Independence Measure (p<0.001), Reintegration to Normal Living Index (p=0.01), Bakas Caregiver Outcomes Scale (p<0.001), and Caregiver Assistance and Confidence Scale assistance subscale (p=0.005). Significant gains were observed on the strength, communication, activities of daily living, social participation, memory, and physical domains of the Stroke Impact Scale (all p<0.001). These improvements were maintained at the 6-month follow-up. No significant improvements were observed upon discharge on the memory and thinking domain of the Stroke Impact Scale; however, there was a significant improvement between admission and follow-up (p=0.002). All significant improvements were maintained at the 6-month follow-up. CONCLUSIONS: Results indicate that the community stroke rehabilitation teams were effective at improving the functional and psychosocial recovery of patients after stroke. Importantly, these gains were maintained at 6 months postdischarge from the program. A home-based, stroke-specific multidisciplinary rehabilitation program should be considered when accessibility to outpatient services is limited.
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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 | 0.002 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".