The Impact of Enhancing Cognitive Skills on Social Skills Development in Traumatic Brain Injury patients
Bibliographic record
Abstract
Abstract Objective: This study investigates the effectiveness of an 8-week structured cognitive and social skills training program in improving cognitive function, communication, and functional independence among individuals with traumatic brain injury (TBI) in Qatar. The goal is to assess the program’s impact on real-world reintegration and quality of life, contributing to evidence-based rehabilitation strategies in this population. Method: A retrospective analysis was conducted on clinical data from TBI patients aged 15–65 who were admitted to the Adult Day Rehabilitation Unit at Qatar Rehabilitation Institute between January 2022 and December 2024. All participants demonstrated cognitive and communication impairments and completed a multidisciplinary rehabilitation program that included individualized speech-language and occupational therapy. Outcome measures included the Montreal Cognitive Assessment (MoCA) for cognitive function, Functional Communication Measures (FCMs) for communication and social interaction, and the Functional Independence Measure (FIM) for overall functional status and return-to-work or school outcomes. Data were collected at baseline, mid-intervention, post-intervention, and follow-up. Results: Post-rehabilitation assessments showed significant improvements across all outcome domains. Participants demonstrated measurable cognitive gains (MoCA), enhanced communication and social function (FCMs), and greater independence (FIM), with many successfully reintegrating into work or academic environments. Conclusions: The findings support the efficacy of integrated cognitive-social rehabilitation for TBI patients, highlighting the benefits of collaborative sessions between speech-language pathologists and occupational therapists. The program demonstrated real-life functional gains, reinforcing the value of multidisciplinary interventions in promoting recovery and social reintegration post-TBI.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.003 | 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".