Return to productivity following traumatic brain injury: Cognitive, psychological, physical, spiritual, and environmental correlates
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: The purpose of this study was to investigate the determinants and correlates of return to productivity (RTP) defined here as return to paid employment and/or school four years following traumatic brain injury (TBI). METHOD: Participants included 46 people with TBI, part of a prospective, cohort study, and 14 friend/family member controls all employed and/or in school at time of injury or inception into the study. Variables were selected for investigation based on two models of recovery. Demographic and injury severity data including time to recover free recall were collected at time of injury, on admission to a trauma unit. Data on other variables (neuropsychological, psychological, physical, spiritual, environmental) were collected concurrent with productivity status at a mean of 4.3 years post-TBI. RESULTS: Time to recover free recall (measured acutely), neuropsychological status, pain severity, depression, and the use of maladaptive coping behaviours were all related to productivity status (p < 0.05). When these variables were entered into exploratory, planned hierarchical logistic regression models time to free recall, pain, and maladaptive coping remained in the models with depression only dropping out because of the high correlation with pain (r > 0.80). CONCLUSIONS: Injury severity (time to free recall), physical status (pain), and psychological status (depression, coping) are important to understanding differences in productivity outcomes. Addressing pain, depression and coping in rehabilitation programs may have a positive impact on outcomes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| 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 | 0.001 |
| 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 it