Effectiveness of Client-Centered Training on Percieved Occupational Performance and Satisfaction in People with Multiple Sclerosis
Bibliographic record
Abstract
Background: Individuals with Multiple Sclerosis (MS) experience problems in the level of perceived occupational performance and satisfaction in activities of daily living due to the negative effects of factors such as physical, cognitive, social and environmental. Aims: This study was planned to examine the effectiveness of the client-centered training for people with MS on perceived occupational performance and satisfaction. Methods: Fourteen MS individuals, 10 females and 4 males participated to the study. According to Canadian Occupational Performance Measure (COPM), a training program designed according to the occupations that indicated by participants. A training program consists of 24 sessions of 45 minutes, 4 days a week for 6 weeks. Results: The mean COPM performance of people with MS before the training was 3.5±0.65 (min.2.5-max.4.5), COPM satisfaction was 3.07±1.29 (min.1-max.5.33). After the training, COPM performance mean was 7.34±0.7 (min.6.2-max.8.33), and COPM satisfaction mean was 7.7±0.98 (min.6-max9.4) points. Before and after training COPM performance and COPM satisfaction statistically increased (p<0.01). The occupations distributions examined, it is determined that self-care 55.17%, productivity 24.13% and leisure 20.68%. Conclusions: Client-centered training for individuals with MS had positive effects on perceived occupational performance and satisfaction. It is thought that client-centered training can be used effectively to increase the occupational performance and satisfaction determined by individuals with MS.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".