Psychiatric Hospitalization and Veterans With Traumatic Brain Injury
Bibliographic record
Abstract
OBJECTIVE: To determine risk factors for psychiatric hospitalization after traumatic brain injury (TBI) in veterans. SUBJECTS AND PROCEDURES: Medical records of 96 veterans with histories of TBI (17 mild, 33 moderate, and 46 severe) were reviewed for information concerning psychiatric history, including hospitalization and substance misuse. RESULTS: Subjects with a history of problematic drug and alcohol use had a significantly higher probability of psychiatric hospitalization than those without such a history. Gender, age, problematic alcohol use without problematic drug use, injury severity, time since injury, years of follow-up, and a history of psychiatric symptoms (including those attributed to general medical conditions) were not identified as significant risk factors. Ninety-one veterans (95%) had a history of psychiatric difficulty. In addition, the probability of post-TBI problematic drug and alcohol use, given a pre-TBI history of such use, was significantly higher than the probability given no history. CONCLUSIONS: Veterans with problematic drug and alcohol use are at increased risk for psychiatric hospitalization after TBI. In addition, the likelihood of problematic post-TBI drug and alcohol use was significantly greater for those with a preinjury history. Ninety-five percent of veterans in the current sample endorsed lifetime histories of psychiatric difficulty. These findings highlight the need for evidence-based means of psychiatric and/or substance abuse treatment of those with a history of TBI.
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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 | 0.001 | 0.001 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".