Substitute consent practices in the face of uncertainty: a survey of Canadian researchers in aging
Bibliographic record
Abstract
BACKGROUND: In Canada and elsewhere, research policies require researchers to secure consent from a legally authorized representative (LAR) for prospective participants unable to consent. Few jurisdictions, however, offer a clear legislative basis for LAR identification. We investigated Canadian researchers' practices regarding the involvement of decisionally incapacitated participants and tested whether reported practices were associated with (1) researchers' understanding of the law on third-party authorization of research and (2) their comfort with allowing a family member to consent on behalf of an incapacitated relative. METHODS: We surveyed researchers in aging from four Canadian provinces about their practices with prospective participants deemed incapable of consent, their understanding of relevant law, and comfort with family consent for research purposes. Understanding and comfort were measured with research vignettes that briefly described hypothetical studies in which an adult who lacks the capacity to consent was invited to participate. RESULTS: Many respondents reported soliciting consent from a family member (45.7% for low-risk studies and 10.7% for serious risks studies), even in jurisdictions where such authority is uncertain at law. Researchers' tendency to solicit family consent was associated with their comfort in doing so, but not with their understanding of the law on substitute consent for research. CONCLUSIONS: Findings underscore the need to clarify who may authorize an incapacitated adult's participation in research. Meanwhile, people should inform their relatives of their desire to participate or not in research in the event of incapacity, given researchers' tendency to turn to family for consent, even where not supported by law.
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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 | 0.010 | 0.064 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".