Unique Features of the INESSS-ONF Rehabilitation Guidelines for Moderate to Severe Traumatic Brain Injury: Responding to Users' Needs
Bibliographic record
Abstract
OBJECTIVE: Traumatic brain injury (TBI) clinical practice guidelines are a potential solution to rapidly expanding literature. The project objective was to convene experts to develop a unique set of TBI rehabilitation recommendations incorporating users' priorities for format and implementation tools including indicators of adherence. METHODS: The Guidelines Adaptation & Development Cycle informed recommendation development. Published TBI recommendations were identified and tabulated. Experts convened to adapt or, where appropriate, develop new evidence-based recommendations. These draft recommendations were validated by systematically reviewing relevant literature. Surveys of experts and target users were triangulated with strength of evidence to identify priority topics. RESULTS: The final recommendation set included a rationale, implementation tools (algorithms/adherence indicators), key process indicators, and evidence summaries, and were divided in 2 sections: Section I: Components of the Optimal TBI Rehabilitation System (71 recommendations) and Section II: Assessment and Rehabilitation of Brain Injury Sequelae (195 recommendations). The recommendations address top priorities for the TBI rehabilitation system: (1) intensity/frequency of interventions; (2) rehabilitation models; (3) duration of interventions; and (4) continuity-of-care mechanisms. Key sequelae addressed (1) behavioral disorders; (2) cognitive dysfunction; (3) fatigue and sleep disturbances; and (4) mental health. CONCLUSION: This TBI rehabilitation guideline used a robust development process to address users' priorities.
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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 | 0.006 | 0.038 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| 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".