Characteristics of Older Adults Accessing Medical Assistance in Dying (MAiD): a Descriptive Study
Bibliographic record
Abstract
BACKGROUND: Medical Assistance in Dying (MAiD) is an end-of-life option for Canadians accounting for 2% of all deaths in Canada in 2019. Adults over 80 years old represent a significant proportion of these deaths, yet little is known about how they compare with their younger counterparts. METHODS: This study retrospectively reviewed our tertiary care institution's MAiD database to compare MAiD recipients <65, 65-80, and >80 years of age. Extracted data included basic demographics, illness characteristics, functional status, social living arrangements/contacts, and outcomes of MAiD assessments. RESULTS: Of 267 patients assessed for MAiD, 38.2% were over 80. Compared to the younger groups, those over 80 were more likely to be female, to live alone, and to be widowed; however, they did not self-identify as 'socially isolated'. The majority fit into the illness categories of malignancy, cardiopulmonary or neurologic diseases, but those over 80 were more likely to have other more chronic/subacute conditions leading to the MAiD request. CONCLUSIONS: Older adults accessing MAiD are distinct in that they tend to be increasingly frail and without a predominant underlying diagnosis as compared with younger adults, but rather have an accumulation of losses resulting in global functional decline and subsequent loss of autonomy and independence.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".