Life satisfaction and distress in family caregivers as related to specific behavioural changes after traumatic brain injury
Bibliographic record
Abstract
PRIMARY OBJECTIVE: To predict long-term outcome of those caring for family members who have sustained a traumatic brain injury (TBI). METHODS AND PROCEDURES: A multivariate approach was used to examine the effectiveness of caregiver coping strategies in the context of TBI-related behavioural change. Self-administered questionnaire packages were collected from 72 adult survivor and family-member pairs who provided information on survivors' altered executive function, behavioural control and emotional sensitivity as well as caregivers' methods of coping, attitudes toward caregiving, indices of distress, mood ratings and quality of life. MAIN OUTCOMES AND RESULTS: Family members generally reported higher levels of satisfaction than dissatisfaction with their caregiving role. The type of neurobehavioural deficit and the approaches taken to cope with stress had specific effects on each dimension of caregiver outcome. CONCLUSIONS: Adequate family support requires finely tuned assessment of factors relevant to successful coping.
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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 | 0.001 | 0.005 |
| 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) | 0.001 | 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".