Factors influencing decisions by critical care physicians to withdraw life-sustaining treatments in critically ill adult patients with severe traumatic brain injury
Bibliographic record
Abstract
BACKGROUND: Most deaths in critically ill patients with severe traumatic brain injury are associated with a decision to withdraw life-sustaining treatments. We aimed to identify the behavioural determinants that influence recommendations by critical care physicians to consider the withdrawal of life-sustaining treatments in this population. METHODS: We conducted a descriptive qualitative study based on the Theoretical Domains Framework of critical care physicians caring for patients with severe traumatic brain injury across Canada. We stratified critical care physicians by regions and used a purposive sampling strategy. We conducted semistructured phone interviews using a piloted and pretested interview guide. We transcribed the interviews verbatim and verified the content for accuracy. We performed the analysis using a 3-step approach: coding, generation of specific beliefs and generation of specific themes. RESULTS: We recruited 20 critical care physicians across 4 geographic regions. After reaching saturation, we identified 7 core themes across 4 Theoretical Domains Framework domains for factors relevant to the decision to withdraw life-sustaining treatments. Four factors (i.e., clinical triggers, social triggers, interaction with families and intentions with medical decisions) were identified before the decision is made and 3 were identified during the decision-making process (i.e., considerations, priorities and knowledge needs). We identified multiple themes reflecting internal (n = 18, 8 Theoretical Domains Framework domains) and external (n = 15, 6 Theoretical Domains Framework domains) influences on the decision to withdraw life-sustaining treatments. INTERPRETATION: We identified several core themes and domains considered by critical care physicians in Canada in the decision to withdraw life-sustaining treatments in critically ill patients with severe traumatic brain injury. Future research should aim at identifying the factors influencing surrogate decision-makers in the decision to withdraw life-sustaining treatments in these patients.
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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 | 0.005 | 0.035 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".