Efficacy of a functionally-based neurorehabilitation programme: A retrospective case-matched study of rehabilitation outcomes following traumatic brain injury
Bibliographic record
Abstract
OBJECTIVE: To investigate the efficacy of a functionally-based neurorehabilitation programme. DESIGN: Retrospective, case-matched cohort design. SETTING: An inpatient acquired brain injury (ABI) service at a post-acute rehabilitation facility. In 2001, a functionally-based rehabilitation model was introduced that streams patients into neurocognitive (NC) and neurophysical (NP) treatment groups based on predominant functional deficits. METHODS: Sixty-nine patients with TBI admitted to the ABI service before implementation of the functionally-based programme comprised a historical control group. These patients were individually case-matched to 69 participants admitted after the functionally-based programme began. Rehabilitation outcomes were compared between matched patients treated before and after implementation of the programme. OUTCOME MEASURES: Rehabilitation length of stay (RLOS), Functional Independence Measure (FIM) and Disability Rating Scale (DRS) at rehabilitation discharge and FIM efficiency. RESULTS: At discharge, the NP-stream had a significantly higher FIM motor efficiency compared to the historical control (0.41 vs. 0.29; p = 0.01). The NC-stream had significantly less disability, as measured by the DRS, compared to its control (3.63 vs. 5.05; p = 0.01). CONCLUSIONS: This study presents preliminary evidence that a rehabilitation programme that targets functional needs rather than diagnosis may be useful in improving function after traumatic brain injury.
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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 | 0.003 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".