Feasibility of conducting prospective observational research on critically ill, dying patients in the intensive care unit
Bibliographic record
Abstract
Studying patients during the end of life is important, as it has the potential to lead to improvements in care for the dying. For patients who die after a controlled withdrawal of life-sustaining therapies in the intensive care unit, information about the natural history of death and the process of removing life support has additionally led to advances in practice for deceased organ donation. However, this unique population of severely critically ill and imminently dying patients has been difficult to study, largely due to assumptions made by research teams and ethics boards alike about the logistical difficulties of obtaining consent and completing research procedures before or during the process of withdrawal of life-sustaining therapies. In this paper, we describe the ethics substudy of the first prospective observational research study in Canada to obtain consent and collect clinical data on patients during the process of withdrawal of life-sustaining therapies in the intensive care unit. We describe in detail the process of protocol development, review by five institutional research ethics boards and bedside staff satisfaction with the study. We conclude that prospective research on a critically ill and imminently dying population is feasible and can be conducted in an ethical manner. Further information is needed about the experiences and motivations of families and substitute decision makers who provide consent for research on critically ill intensive care unit patients at the end of life.
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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 | 0.009 | 0.301 |
| 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 | 0.003 |
| 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".