Occupational Therapy for Improving Occupational Performance in COPD Patients: A Scoping Review
Bibliographic record
Abstract
Background. Chronic obstructive pulmonary disease (COPD) is a multisystemic chronic condition which may induce significant consequences in daily life activities. Preserving activities of daily living in COPD is therefore a common treatment goal among people living with COPD, which leaves ample opportunity for occupational therapy interventions to comprise part of their rehabilitation. However, the question of how exactly occupational therapists can and do contribute to pulmonary rehabilitation remains underexplored. Purpose. To reveal the contribution of occupational therapy intervention in the pulmonary rehabilitation on improving the occupational performance of patients with COPD. Method. A scoping review was performed by selecting articles focusing on occupational therapy in pulmonary rehabilitation for patients with COPD. A total of four databases were surveyed for article selection. Findings. Among nine studies selected, seven studies reported a significant improvement in the occupational performance of patients with occupational therapy. However, two studies did not observe differences between the groups regarding occupational performance. Implications. Occupational therapy in pulmonary rehabilitation seems to contribute to the improvement of occupational performances of patients with COPD. Nevertheless, research focused on this field needs to be further developed to support the positive impact of occupational therapy in COPD management.
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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 | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.014 | 0.014 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".