Behavioral Health Service Utilization and Unmet Need After Traumatic Brain Injury in Childhood
Bibliographic record
Abstract
OBJECTIVE: The need for behavioral health services, service utilization, and predictors of utilization was examined in children with moderate-to-severe traumatic brain injury (TBI) relative to a comparison group of children with orthopedic injury (OI) 6.8 years after injury. METHODS: A total of 130 children hospitalized for moderate-to-severe TBI (16 severe and 42 moderate) or OI (72) between the ages of 3 and 7 years, who were enrolled at the time of injury at 3 tertiary care children's hospital and one general hospital in Ohio, and completed a long-term follow-up 6.8 years after injury were included in analyses. RESULTS: Adolescents with TBI (moderate [38%] and severe [69%]) had significantly greater rates of need than those with OI (17%). Behavioral health services were utilized by 10% of the sample with no injury group differences (OI: 6%; moderate: 17%; severe: 13%). Early treatment and white race were associated with less service utilization; 77% had an unmet need, with no injury group differences (OI: 75%; moderate: 75%; severe: 82%). Rate of unmet need was greater among white than non-white children. CONCLUSION: Children who sustain a TBI in early childhood experience persistent and clinically significant impairments even years after injury. Rates of unmet need were high for all injury groups. Findings underscore the importance of long-term monitoring to identify developing needs and prevent significant complications/deficits.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".