Making medical decisions for an incompetent older adult when both a proxy and an advance directive are available: which is more likely to reflect the older adult’s preferences?
Bibliographic record
Abstract
OBJECTIVES: To investigate which of two sources of information about an older adult's wishes-choices made in an advance directive or proxy's opinion-provides better insight into the older adult's preferences measured in hypothetical clinical situations involving decisional incapacity. METHODS: Secondary analyses of data collected from 157 community-dwelling, decisionally competent adults aged 70 years and over who attended a group information session on advance directives with their proxy. Older adults were invited to complete a directive introduced during the session, designed to express healthcare preferences. An average of 3 months later, older adults were asked during an interview whether they would want to receive each of four medical interventions and what their goals of care would be should they develop one of three sudden health events, assuming that they had severe dementia. Proxies were asked to guess the older adult's answers in each of the seven scenarios. RESULTS: Eighty per cent of the older adults completed the directive. Choices they made in the directive were more in line with the preferences they stated during the interview than were their proxies' guesses at their answers. However, concordance was relatively low, with percentages of agreement ranging from 43% to 83% across scenarios. CONCLUSIONS: Findings suggest that a directive might provide better insight into a person's wishes than the person's proxy, although neither source is perfect. A multifaceted decision-making model that includes both sources of information might better serve the interests of older adults who have lost the capacity to make decisions on their own. TRIAL REGISTRATION NUMBER: ISRCTN89993391; Post-results.
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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 | 0.005 | 0.070 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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".