Discordance between patients' stated values and treatment preferences for end-of-life care: results of a multicentre survey
Bibliographic record
Abstract
BACKGROUND: Medical orders for the use of life-supports should be informed by patients' values and treatment preferences. The purpose of this study was to explore the internal consistency of patients' (or their family members') stated values, and the relationship between these values and expressed preferences. METHODS: We conducted a prospective study in 12 acute care hospitals in Canada. We administered a questionnaire to elderly patients and their family members about their values related to end-of-life (EOL) care, treatment preferences and decisional conflict. RESULTS: Of 513 patients and 366 family members approached, 278 patients (54%) and 225 family members (61%) consented to participate. Participants' most important stated values were to be comfortable and suffer as little as possible, to have more time with family, to avoid being attached to machines and tubes and that death not be prolonged. The least important stated value was that life be preserved. Based on prespecified expected associations between the various values measured, there were inconsistencies in participants' expressed value statements. With few exceptions, participants' expressed values were not associated with expected corresponding treatment preferences. Of the 109 (40%) patients and 95 (42%) family members who had made decisions about use of life-supports, 68 (56%) patients and 60 (59%) family members had decisional conflict. CONCLUSIONS: Decision-making regarding medical treatments at the EOL is inadequate. To reduce decisional conflict, patients and their families need more support to clarify their values and ensure that their preferences are grounded in adequate understanding of their illness and treatment options. TRIAL REGISTRATION NUMBER: NCT01362855.
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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 | 0.007 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".