Attitudes of cancer patients, family caregivers, oncologists and members of the general public toward critical interventions at the end of life of terminally ill patients
Bibliographic record
Abstract
BACKGROUND: Whereas most studies have focused on euthanasia and physician-assisted suicide, few have dealt comprehensively with other critical interventions administered at the end of life. We surveyed cancer patients, family caregivers, oncologists and members of the general public to determine their attitudes toward such interventions. METHODS: We administered a questionnaire to four groups about their attitudes toward five end-of-life interventions--withdrawal of futile life-sustaining treatment, active pain control, withholding of life-sustaining measures, active euthanasia and physician-assisted suicide. We performed multivariable analyses to compare attitudes and to identify sociodemographic characteristics associated with the attitudes. RESULTS: A total of 3840 individuals--1242 cancer patients, 1289 family caregivers and 303 oncologists from 17 hospitals, as well as 1006 members of the general Korean population--participated in the survey. A large majority in each of the groups supported withdrawal of futile life-sustaining treatment (87.1%-94.0%) and use of active pain control (89.0%-98.4%). A smaller majority (60.8%-76.0%) supported withholding of life-sustaining treatment. About 50% of those in the patient and general population groups supported active euthanasia or physician-assisted suicide, as compared with less than 40% of the family caregivers and less than 10% of the oncologists. Higher income was significantly associated with approval of the withdrawal of futile life-sustaining treatment and the practice of active pain control. Older age, male sex and having no religion were significantly associated with approval of withholding of life-sustaining measures. Older age, male sex, having no religion and lower education level were significantly associated with approval of active euthanasia and physician-assisted suicide. INTERPRETATION: Although the various participant groups shared the same attitude toward futile and ameliorative end-of-life care (the withdrawal of futile life-sustaining treatment and the use of active pain control), oncologists had a more negative attitude than those in the other groups toward the active ending of life (euthanasia and physician-assisted suicide).
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".