Occupational therapy for complex inpatients with stroke: identification of occupational needs in post-acute rehabilitation setting
Bibliographic record
Abstract
Purpose: Inpatients admitted to rehabilitation express needs not linked to disease causing hospitalization. This observational cross-sectional study identifies features and occupational needs of complex inpatients during rehabilitation, focusing on function and ability, regardless of diagnosis. Method: This study included sixteen adult inpatients with stroke, deemed complex according to Rehabilitation Complexity Scale-Extended, at admission to Rehabilitation ward (from July 2014 to February 2015). Patients with primary psychiatric disorders, language barriers, cognitive or severe communication deficits were excluded. Upon admission, a multidisciplinary team collected data on general health, independence in daily activities (Modified Barthel Index), fatigue (Fatigue Severity Scale), resistance to sitting and ability to perform instrumental activities (Instrumental Activities of Daily Living). The occupational therapist identified occupational needs according to Canadian Occupational Performance Measure. Results: Inpatients enrolled in this study were dependent in basic ADL, limited in instrumental ADL and easily fatigable. Their occupational needs related to self-care (75%) and, to a lesser extent, productivity (15%) and leisure (10%). According to inpatients, rehabilitation process should firstly address self-care needs, followed by productivity and leisure problems. Conclusions: Despite small sample size, this study described patterns of occupational needs in complex inpatients with stroke. These results will be implemented in client-centered rehabilitation programs to be tested in a phase-two trial. [NCT02173197]Implications for RehabilitationPriority occupational needs of complex inpatients with stroke during rehabilitation are focused on self-care area.Productivity and leisure problems also arise in early post-acute phase.Client-centered rehabilitation programs should firstly address self-care needs and, later on, they should also focus on the recovery of family and social roles. Priority occupational needs of complex inpatients with stroke during rehabilitation are focused on self-care area. Productivity and leisure problems also arise in early post-acute phase. Client-centered rehabilitation programs should firstly address self-care needs and, later on, they should also focus on the recovery of family and social roles.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".