Descriptive study of occupational performance of subjects with Parkinson’s disease: the use of ICF as a tool for the classification of activity and participation
Bibliographic record
Abstract
The International Classification of Functionality, Disability, and Health (ICF) which appears as a tool to classify and identify factors that, in addition to the state of health, interfere with the functionality of the subject performing activities. In this cross-sectional study we assess the occupational performance of 46 subjects diagnosed with Parkinson’s disease (PD) through the application of the Canadian Occupational Performance Measurement (COPM) and its classification in the areas of ICF. The activities most effected are, Social, Civic, and Community Life (32.6%), Mobility (26.1%), Personal Care (27.1%), Family Life (10.9%), and Learning and Application of Knowledge (8.7%). Information has also been gathered about gender, marital status, type of residence, need for assistance, the Hoehn & Yahr Scale, rigidity profile, postural stability, age and length of illness. This data was not statistically significant (p <0.05). However, in the correlation between variables studied, the fact that only the rigidity variable showed an average correlation of r-0, 452 (p <0.01) was obtained through the non-parametric Spearman correlation test, with the five areas classified in the ICF. The importance of promoting and maintaining Community, Social, and Civic Life for subjects with PD and rigidity as an important component of their complaints in relation to occupational performance. The Health Model proposed by the ICF, along with the application of the COPM, were effective, allowing for correlation when the activity is the focus of evaluation, between functions and structures of the body and environmental and personal factors, with the difficulties of performance in carrying out activities.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".