Effectiveness of the Functional and Cognitive Occupational Therapy (FaCoT) Intervention for Improving Daily Functioning and Participation of Individuals with Mild Stroke: A Randomized Controlled Trial
Bibliographic record
Abstract
Background: Mild stroke can cause subtle cognitive–behavioral symptoms, which although might be hidden, can restrict community reintegration and participation. Cognitive rehabilitation programs exist for stroke but not specifically for mild stroke and the research evidence varies. The Functional and Cognitive Occupational Therapy (FaCoT) intervention was developed specifically for this population. Objective: To examine the effectiveness of FaCoT intervention for improving daily functioning and participation compared with standard care. Method: A single blind randomized controlled trial with assessments pre (T1), post (T2) and 3-month follow-up (T3). Individuals in the FaCoT group received 10 weekly sessions practicing cognitive and behavioral strategies. The Canadian Occupational Performance Measure (COPM) was the primary outcome measure, IADL-questionnaire, Reintegration to Normal Living questionnaire (RNL) were secondary measures. Results: In total, 66 community-dwelling individuals with mild stroke were randomly allocated to FaCoT (n = 33, mean (SD) age 64.6 (8.2), 33% women), or control group (n = 33, mean (SD) age 64.4 (10.8), 45% women). Time X Group interaction effects were found for the COPM performance (F(1.4,90.3) = 11.75, p < 0.000) and satisfaction (F(1.5,96.8) = 15.70, p < 0.000), with large effect size values. Significant between-group effects were found for RNL (F = 10.02, p < 0.002, ɳP2 = 0.13). Most participants in FaCoT achieved a clinically important difference in COPM between T1–T2, T1–T3, and in RNL between T1 to T3 compared with the control group. Conclusions: FaCoT intervention is effective to improve daily functioning, participation and satisfaction of individuals with mild stroke compared with standard care, therefore FaCoT should be implemented in community rehabilitation settings.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".