Standardized audiotape versus recorded consultation to enhance informed consent to a clinical trial in breast oncology
Bibliographic record
Abstract
BACKGROUND: The purpose of this study was to systematically compare two audiotape formats for the delivery of information relevant to informed consent to participate in a clinical trial in breast oncology, and to establish the feasibility of adding a consultation recording protocol to a clinical treatment trial. METHOD: Participants were 69 women with newly diagnosed breast cancer and 21 oncologists from 5 Canadian cancer centers. Patients were block randomized to one of three groups: 1. standardized audiotape; 2. consultation audiotape; or 3. both audiotapes. Patients received their tapes immediately following the clinical trial consultation. Patient outcomes included perception of being informed about clinical trials, knowledge of information relevant to providing informed consent to a clinical trial, and satisfaction with communication during the consultation. RESULTS: The consultation audiotapes contained less trial-related information than the standardized audiotape but there were no differences in clinical trial knowledge or perception of being informed across the intervention groups. Patients expressed a marginally significant preference for consultation audiotapes over standardized audiotapes. CONCLUSIONS: Patients tended to prefer receiving an audiotape of their own consultation over a standardized audiotape. The majority of oncologists considered the audiotape intervention feasible but were less enthusiastic about being involved in a larger study given the accrual challenges that arose when trying to "piggy-back" one randomized controlled trial on an existing clinical trial.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.031 | 0.149 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".