The use of medical devices in people with hemiparesis of the upper limb and the presentation of the competence of the master and specialist of physiotherapy in the prescription of orthopedic supplies
Bibliographic record
Abstract
Background: Medical devices are special-purpose articles used, among other things, to prevent or compensate for motor dysfunctions caused by neurological disorders.Being authorized in this regard indicates the obligation of a physiotherapist to have the appropriate knowledge and competence to prescribe the devices and also to train the patient for their use.Aims: The purpose of this study was to present the possibility and evaluate the effectiveness of using upper limb orthoses in hemiparesis and present the authority of the master and specialist of physiotherapy to prescribe medical devices. Material and methods:The available literature was analyzed based on English-language databases PubMed, Scopus, ScienceDirect, Medline, and others, using the Google Scholar search engine.Twenty articles were analyzed out of 75 retrieved by the above method.Publications no older than 14 years were used as search criteria using the following keywords: hemiparesis, upper limb orthosis, and medical device prescribing.
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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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".