Perceived mental health and needs for mental health services following trauma with and without brain injury
Bibliographic record
Abstract
OBJECTIVES: To compare self-reported mental health in trauma survivors with and without brain injury; to describe factors associated with lower mental health; and to compare needs in terms of mental health services and perceived access limitations to such services. DESIGN: Cross-sectional community survey. PATIENTS: A total of 405 trauma survivors (239 with traumatic brain injury and 166 without) interviewed 2-4 years post-injury. METHODS: Short Form-12 mental health scales and a survey measuring perceived needs for mental health services, and access limitations. RESULTS: Injury survivors with and without traumatic brain injury are similarly affected on subjective reports of global mental health, vitality, role changes, and social functioning except for cognitive complaints. Variables associated with lower mental health in trauma survivors include younger age, being a woman, shorter time since injury, higher pain, lower social support, and presence of cognitive problems. Although individuals with traumatic brain injury report slightly more mental health problems and more need for mental health services, proportionally to their needs, more individuals without traumatic brain injury report access limitations to mental health services. CONCLUSION: Mental health problems affect important proportions of trauma survivors, either with or without traumatic brain injury. More effort should be made to facilitate access to mental health services for all trauma survivors.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".