Are subjects satisfied with the informed consent process? A survey of research participants.
Bibliographic record
Abstract
OBJECTIVE: Letters of information (LOI) for clinical trials are becoming longer and more complicated. We investigated patients' perspectives of their ability to understand the information presented during a clinical trial. Satisfaction with and motivation for participation in clinical trials were also ascertained. Perceptions from various treatment disciplines were compared. METHODS: Participants were chosen from 14 clinical trials (departments of rheumatology, ophthalmology, and cardiology) conducted at the same university. Subjects were asked to complete a written questionnaire that assessed demographic information, recall and understanding of information, subjects' decisions to participate, and perceptions/opinions of the study. The response rate was 75% (rheumatology, n = 74; ophthalmology, n = 32; cardiology, n = 84). RESULTS: The majority of respondents (98%) indicated that they were satisfied with the informed consent process and with their involvement in a trial (97%). Subjects who reported having understood the LOI had better recall of placebo/active drug comparator (p < 0.03), and better understanding of why placebo was used (p < 0.04). No differences were found between those who reported understanding and those who did not on understanding the concept of concealed allocation (blinding). Subjects who felt they had received "the right amount of information" were more likely not to understand concealed allocation. The most frequent reason for trial participation was to help medical science (80%). Subjects with higher education were more likely to understand the reason for placebo use (p < 0.0003), but were not more likely to understand concealed allocation (p < 0.08). CONCLUSION: Subjects reported that they were satisfied with the informed consent process and their experience in a clinical trial, and that they understood trial concepts. Subjects may be able to self-assess their own level of understanding for trial concepts that intrinsically make sense within the context of their beliefs about medical care, but other trial concepts may be misunderstood/misinterpreted regardless of self-assessment of understanding or education level (i.e., concealed allocation). Subjects may prefer to believe that investigators know which treatment they are receiving, and have made a good treatment decision specific to their case, despite having being told about concealed allocation and placebo use.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.025 | 0.290 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".