Bibliographic record
Abstract
Objective : The purpose of this study was to develop a Korean version of the manual Wheelchair Skills Training Program for hemiplegia (K-WSTP), and evaluate its effectiveness for improving the wheelchair mobility of hemiplegic patients. Methods : Twenty-four subjects were selected to evaluate the effectiveness of the K-WSTP. Of them, six hemiplegic patients requiring assistance when using a manual wheelchair participated as the training group. The other 18 subjects were selected into comparison groups, i.e., independent hemiplegic patients, college students, and occupational therapists, each consisting of 6 persons. All subjects were evaluated based on WST(Wheelchair Skills Test), COPM(Canadian Occupational Perfomance Measure), K-MBI(Korean version of Modified Barthel Index and their subjective opinions before and after implementing the K-WSTP. Results : The results show that the training group was significantly improved (p .05) between the training and comparison groups. Of the total subjects, 18.2% expressed their opinion regarding the difficulties in wheelchair movements such as ‘turn in place’ and ‘maneuver sideways’, whereas the training group expressed an opinion regarding the difficulties in a ‘level transfer’ and ‘relieving weight from the buttocks.’ (note from editor, please check the red sentence carefully to make sure it matches your original intention.) Conclusion : The developed K-WSTP showed improvements in wheelchair skills, independence, individual performance, and satisfaction. It is expected that this study will enhance the motivation toward rehabilitation, improving one’s mobility in daily life, and contribute to the quality of life of hemiplegic patients.
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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 | 0.000 | 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 | 0.000 | 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) | 0.002 | 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".