The patients have a story to tell: Informed consent for people who use illicit opiates
Bibliographic record
Abstract
BACKGROUND: There is a significant discourse in the literature that opines that people who use illicit opiates are unable to provide informed consent due to withdrawal symptoms and cognitive impairment as a result of opiate use. AIMS: This paper discusses the issues related to informed consent for this population. ETHICAL CONSIDERATIONS: Ethical approval was obtained from both the local REB and the university. Written informed consent was obtained from all participants. METHOD: This was a qualitative interpretive descriptive study. 22 participants were interviewed, including 18 nurses, 2 social workers and 2 clinic support workers. The findings were analyzed using thematic analysis, which is a way of systematically reducing the complexity of the information to arrive at generalized explanations. RESULTS: The staff at the clinic were overwhelming clear in their judgment that people who use opiates can and should be able to participate in research and that their drug use is not a barrier to informed consent. CONCLUSIONS: It is important to involve people who use opiates in research. Protectionist concerns about this population may be overstated. Such concerns do not promote the interests of research participants. People who use heroin need to be able to tell their story.
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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 | 0.003 | 0.349 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| 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".