Consenting patients for endoscopic retrograde cholangiopancreatography: results of a survey of 182 UK endoscopists and 2059 of their patients
Bibliographic record
Abstract
OBJECTIVES: To describe the endoscopic retrograde cholangiopancreatography (ERCP) consent process. METHOD: A prospective, multicentre study of ERCP, supplemented by questionnaires administered to participating endoscopists and their patients. RESULTS: A total 165 of 182 (91%) endoscopists completed a questionnaire describing personal practice with 140 of 165 (85%) routinely providing written information to patients; 120 of 165 (73%) routinely acquiring verbal consent on the day of ERCP; 23 of 165 (14%) delegating acquisition of consent to another team member and 59 of 165 (36%) usually/always describing alternative treatments to patients. Types of complication disclosed (and percentage of incidence quoted) varied significantly. A total of 2059 of 4561 (45%) patients completed the questionnaire following their first recorded procedure, at a mean of 11 days post-ERCP. Most (1968/2059; 96%) patients were satisfied with the explanation provided; they understood why ERCP was recommended (1935/2059; 94%) and recalled being informed of complications (1745/2059; 85%). Regression analysis of first-ever (nonurgent) ERCP suggested that patients were more likely to recall being informed of risk (odds ratio; 95% confidence interval) if they were younger (1.04 per 5-year decrease, 1.02-1.05), had an American Society of Anesthesiology score of less than 3 (2.0; 1.18-3.4); or had verbally consented more than 1 week in advance of ERCP (2.41, 1.02-5.71, when compared with those who consented on the day of ERCP). After ERCP 964 of 2059 (47%) patients were warned of specific symptoms that could arise. CONCLUSION: The ERCP consent process could be improved by consistent disclosure of risk, acquisition of verbal consent well in advance of the procedure, provision of information after ERCP and increased attention to older and more sick patients.
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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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".