Does the public feel prepared to be substitute decision-makers? Gaps in preparedness and support for a high school curriculum: a national survey
Bibliographic record
Abstract
BACKGROUND: Substitute decision-makers (SDMs) make decisions on behalf of patients who do not have capacity, in line with previously expressed wishes, values and beliefs. However, miscommunications and poor awareness of previous wishes often lead to inappropriate care. Increasing public preparedness to communicate on behalf of loved ones may improve care in patients requiring an SDM. METHODS: We conducted an online survey in January 2019 with a representative sample of the Canadian population. The primary outcome was self-reported preparedness to be an SDM. The secondary outcome was support for a high school curriculum on the role of SDMs. The effect of socio-demographics, known enablers and barriers to acting as an SDM, and attitudes towards a high school curriculum were assessed using multivariate analysis. RESULTS: Of 1,000 participants, 53.1% felt prepared to be an SDM, and 75.4% stated they understood their loved one's values. However, only 55.6% reported having had a meaningful conversation with their loved one about values and wishes, and only 61.7% reported understanding the SDM role. Engagement in advance care planning for oneself was low (23.1%). Age, experience, training and comfort with communication were associated with preparedness in our multivariate analysis. A high school curriculum was supported by 61.1% of respondents, with 28.3% neutral and 10.6% against it. INTERPRETATION: There is a gap between perceived and actual preparedness to be an SDM. Many report understanding their loved one's values yet have not asked them about wishes in illness or end of life. The majority of respondents support high school education to improve preparedness.
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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 | 0.000 | 0.004 |
| 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 | 0.000 |
| 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".