Rehabilitation among individuals with traumatic brain injury who intersect with the criminal justice system: A scoping review
Bibliographic record
Abstract
Traumatic brain injury (TBI), a leading cause of morbidity and mortality globally, is highly prevalent among individuals who intersect with the criminal justice system (CJS). It is well-established that TBI negatively impacts individuals' interactions both within the CJS and upon release and is associated with serious disciplinary charges and higher recidivism rates. Although rehabilitation is fundamental to TBI recovery, it is not known to what extent rehabilitation is available to, or used by, individuals who intersect with the CJS. This scoping review explores the availability and extent of rehabilitation for individuals with TBI who intersect with the CJS, based on available literature. A systematic search of electronic databases (MEDLINE, Embase, Cochrane CENTRAL Register of Clinical Trials, CINAHL, APA PsycINFO, Applied Social Sciences Index and Abstracts, and Proquest Nursing and Allied Health), relevant organizations' websites, and reference lists of eligible articles identified 22 peer-reviewed articles and 2 gray literature reports that met predetermined eligibility criteria. Extracted data were synthesized through a descriptive numerical summary and qualitative content analysis. This review provides evidence that existing rehabilitation interventions are already serving individuals with TBI with a history of CJS involvement; however, they rarely consider or acknowledge TBI or CJS in their interventions. Findings also suggest opportunities to integrate rehabilitation for individuals with TBI who intersect with the CJS through TBI screening, education on TBI within CJS settings, and linkages to the community to facilitate continuity of care. This review also highlights significant gaps in knowledge regarding sex, gender, and other intersecting factors. Research to understand how these experiences impact the rehabilitation process throughout the CJS is urgently needed to enable timely and appropriate rehabilitation and continuity of care for diverse individuals with TBI who intersect with the CJS.
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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 | 0.006 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.014 | 0.014 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".