Breaking the news of traumatic brain injury and incapacities
Bibliographic record
Abstract
PRIMARY OBJECTIVE: This paper presents research results regarding disclosure of traumatic brain injury (TBI) diagnosis and resulting deficits of a study aiming to investigate the experiences of individuals who had sustained a TBI, their families, the physicians and health professionals involved, from the critical care episodes and subsequent rehabilitation. RESEARCH DESIGN: Semi-structured interviews were conducted with individuals who had sustained a TBI (n = 8) and their families (n = 8) as well as with the health professionals (or service providers) (n = 22) and physicians (n = 9) who provided them care. MAIN OUTCOMES AND RESULTS: Results revealed that the quality of the disclosure is strongly influenced by the medical uncertainty surrounding the TBI and the difficulties of healthcare professionals in dealing with the family's emotions. CONCLUSIONS: Delivering bad news is always difficult, but it is possible to make this harrowing experience easier and, in so doing, enhance patient and family resilience.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".