Psychosocial determinants of physicians’ intention to practice euthanasia in palliative care
Bibliographic record
Abstract
BACKGROUND: Euthanasia remains controversial in Canada and an issue of debate among physicians. Most studies have explored the opinion of health professionals regarding its legalization, but have not investigated their intentions when faced with performing euthanasia. These studies are also considered atheoretical. The purposes of the present study were to fill this gap in the literature by identifying the psychosocial determinants of physicians' intention to practice euthanasia in palliative care and verifying whether respecting the patient's autonomy is important for physicians. METHODS: A validated anonymous questionnaire based on an extended version of the Theory of Planned Behavior was mailed to a random sample of 445 physicians from the province of Quebec, Canada. RESULTS: The response rate was 38.3% and the mean score for intention was 3.94 ± 2.17 (range: 1 to 7). The determinants of intention among physicians were: knowing patients' wishes (OR = 10.77; 95%CI: 1.33-86.88), perceived behavioral control-physicians' evaluation of their ability to adopt a given behavior-(OR = 4.35; 95%CI: 1.44-13.15), moral norm-the appropriateness of adopting a given behavior according to one's personal and moral values-(OR = 3.22; 95%CI: 1.29-8.00) and cognitive attitude-factual consequences of the adoption of a given behavior-(OR = 3.16; 95%CI: 1.20-8.35). This model correctly classified 98.8% of physicians. Specific beliefs that might discriminate physicians according to their level of intention were also identified. For instance, physicians' moral norm was related to the ethical principle of beneficence. CONCLUSIONS: Overall, physicians have weak intentions to practice euthanasia in palliative care. Nevertheless, respecting patients' final wishes concerning euthanasia seems to be of particular importance to them and greatly affects their motivation to perform euthanasia.
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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 | 0.001 | 0.074 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".