Patient-family agreement on values and preferences for life-sustaining treatment: results of a multicentre observational study
Bibliographic record
Abstract
OBJECTIVES: To quantify agreement between patients and their family members on their own values and preferences for use or non-use of life-sustaining treatments for the patient. METHODS: Hospitalised patients aged 55 years or older with advanced pulmonary, cardiac, liver disease or metastatic cancer or aged 80 years or older from medical wards at 16 Canadian hospitals and their family members completed a questionnaire including eight items about values related to life-sustaining treatment and a question about preferences for life-sustaining treatments. RESULTS: We recruited a total of 313 patient-family member dyads. Crude agreement between patients and family members about values related to life-sustaining treatment was 42% across all eight items but varied widely: 20% when asking how important it was for the patient to respect the wishes of family members regarding their care; 72% when asking how important it was for the patient to be kept comfortable and suffer as little as possible. Crude agreement on preferences for life-sustaining treatment was 91% (kappa 0.60; 95%CI 0.45 to 0.75) when looking at preferences for cardiopulmonary resuscitation (CPR) versus no CPR but fell to 56% when including all five response options with varying degrees of resuscitative, medical or comfort options (kappa 0.39; 95%CI 0.31 to 0.47). CONCLUSIONS: There is appreciable disagreement between seriously ill hospitalised patients and family members in their values and preferences for life-sustaining treatment. Strategies are needed to improve the quality of advance care planning, so that surrogates are better able to honour patient's wishes at the end of life.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.011 | 0.042 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.002 | 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".