Long-Term Functional Outcome of Older Adults After a Traumatic Brain Injury
Bibliographic record
Abstract
PURPOSE: To identify factors associated with long-term independence in mobility and self-care activities of daily living of older adults after traumatic brain injury (TBI). PARTICIPANTS: One hundred thirty-six TBI survivors 55 years or older were assessed 2 to 4 years postinjury (mean of 3.2 years). SETTING: Level I or level II trauma centers in Quebec, Canada. MAIN MEASURES: Personal, injury-related, and environmental factors were gathered from hospital records or by telephone interview; a telephone version of the Functional Independence Measure motor scale was collapsed to 4 levels. ANALYSIS: Logistic regression analyses identified factors associated with independence in mobility and self-care. RESULTS: The strongest and most consistent factors associated with independence in mobility and self-care were fewer comorbid conditions, no difficulty of access to home modification services and home support services, male gender, younger age at time of injury, and shorter acute care length of stay. CONCLUSION: Factors associated with long-term functional outcome should be considered in the development of practice guidelines for rehabilitation of older adults who sustained a TBI.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".