A Rehabilitation Program for Patients Recovering from Severe Stroke
Bibliographic record
Abstract
OBJECTIVE: The purpose of this study was to describe the outcomes of patients with a severe stroke admitted to a specialized "slow stream" rehabilitation program and to develop a model to predict discharge destination. METHODS: Chart review of 196 consecutive non-ambulatory ("lower-band") stroke patients admitted between 1996-2001, to a specialized in-patient rehabilitation unit designed to accommodate the needs of patients with profound disabilities, and who were considered inappropriate for conventional inpatient rehabilitation programs. Special features of this program included the availability of an independent living unit, therapies tailored to individual tolerance and the opportunity to remain on the unit for an extended period until such time that the patients' rehabilitation potential had been maximized. RESULTS: Patients were admitted to the unit after a median of 49 days following stroke onset. Their median admission and discharge functional independence measure (FIM) scores were 46 and 70, respectively. The improvement in ability to perform self-care tasks was statistically significant (Z= -11.18, p<0.0001). By discharge, 54 patients (28%) were able to ambulate independently (with or without an assistive device), while 142 patients (72%) remained wheelchair dependent. Eighty-five patients (43%) returned to their own home upon rehabilitation discharge, while the remainder were admitted to nursing homes or hospitals closer to the patients' home. Admission FIM score, age, no previous history of stroke and male sex were the variables found to most strongly predict discharge home. CONCLUSIONS: Patients with severe strokes who received individualized care on a highly specialized stroke rehabilitation unit achieved impressive functional outcomes despite a lag of seven weeks post stroke before rehabilitation was initiated. Many patients were no longer wheelchair dependent and almost half returned home. Active rehabilitation should not be limited to "middle-band" stroke patients.
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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 | 0.000 | 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) | 0.002 | 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".