INVESTIGATING THE SATISFACTION LEVELS OF INDIVIDUALS WITH STROKE USING KINESIO WRISTBAND
Bibliographic record
Abstract
Aim:Kinesio Wristband was developed using the principles of neuroplasticity and biofeedback mechanism to preventneglect of the hemiparatic upper extremity and to encourage the use of the hemiparetic upper extremity in strokepatients. If active movement does not appear in the hemiparatic upper extremity of the individual within one hour, theKinesio Wristband will give a warning in the form of vibration. Thus, the individual will be aware that he/she shouldmove the affected side upper extremity and use it in activities. The aim of the current study is to investigate thesatisfaction levels of individuals with stroke using Kinesio Wristband.Method:The cross sectional study was conducted at the Safir Medical Center. The study included 20 stroke patients(9 females, 11 males) with a mean age of 51.50±15.37 (mean ± standard deviation) years who voluntarily received theKinesio Wristband. Before the st udy, the level of knowledge about Kinesio Wristband and the level of belief in itsfunctionality were questioned with the Visual Analog Scale (VAS). The Quebec User Evaluation of Satisfaction withAssistive Technology (QUEST 2.0) questionnaire was used to question the satisfaction of the individuals after usingthe Kinesio Wristband for 4 weeks.Results:The mean level of knowledge about the Kinesio Wristband was 2.95±1.39 (min 0 max 7) and the mean levelof belief in its functionality was 3.65±1.27 (min 1 max 5). The mean score of the ‘assistive device’ heading of QUESTwas 28.55± (7.42) (min 21 max 40) out of 40 points; the mean score of the ‘service’ heading of QUEST was 16.10±(2.99) (min 12 max 20) out of 20 points. As a result of the participants' sel ection of the 3 items that they considered themost important among the 12 items related to satisfaction with QUEST, it was found that individuals selected regularfollow up services with 30% (n:12), professional service with 20% (n:8), weight, ease of use and comfort with 12.5%(n:Conclusion:Individuals with stroke reported high assistive device and service satisfaction with Kinesio Wristband.The appearance, weight, ease of use, durability and satisfaction of the assistive devices used in rehabilitation positivelyaffect the success of rehab ilitation. The Kinesio Wristband has the potential to be used in individuals with stroke, butthere is a need to improve the current version of the device.
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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 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.004 | 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".