Unmet Rehabilitation Needs After Hospitalization for Traumatic Brain Injury
Bibliographic record
Abstract
OBJECTIVES: In this study, we describe unmet service needs of children hospitalized for traumatic brain injury (TBI) during the first 2 years after injury and examine associations between child, family, and injury-related characteristics and unmet needs in 6 domains (physical therapy, occupational therapy, speech therapy, mental health services, educational services, and physiatry). METHODS: Prospective cohort study of children age 8 to 18 years old admitted to 6 hospitals with complicated mild or moderate to severe TBI. Service need was based on dysfunction identified via parent-report compared with retrospective baseline at 6, 12, and 24 months. Needs were considered unmet if the child had no therapy services in the previous 4 weeks, no physiatry services since the previous assessment, or no educational services since injury. Analyses were used to compare met and unmet needs for each domain and time point. Generalized multinomial logit models with robust SEs were used to assess factors associated with change in need from pre-injury baseline to each study time point. RESULTS: Unmet need varied by injury severity, time since injury, and service domain. Unmet need was highest for physiatry, educational services, and speech therapy. Among children with service needs, increased time after TBI and complicated mild TBI were associated with a higher likelihood of unmet rather than met service needs. CONCLUSIONS: Children hospitalized for TBI have persistent dysfunction with unmet needs across multiple domains. After initial hospitalization, children with TBI should be monitored for functional impairments to improve identification and fulfillment of service needs.
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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 | 0.004 |
| 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 | 0.000 |
| 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".