Patient Engagement and Multidisciplinary Involvement Has an Impact on Clinical Guideline Development and Decisions: A Comparison of Two Irritable Bowel Syndrome Guidelines Using the Same Data
Bibliographic record
Abstract
BACKGROUND AND AIM: The value of a multidisciplinary group and patient engagement in guideline groups is uncertain. We compared the recommendations of two guidelines that used the same data during the same time frame but with different participants to obtain a "real world" perspective on influence of the composition of guideline groups. METHODS: The Canadian Association of Gastroenterology (CAG) and the American College of Gastroenterology (ACG) recently updated their clinical practice guidelines for the management of Irritable Bowel Syndrome (IBS). Both the CAG and ACG used the same methodology and methodologist and were presented with the same data for interpretation. The ACG group consisted of predominantly academic gastroenterologists, while the CAG group also included general practitioners, a psychiatrist, a psychologist and a patient representative. The CAG group were also asked what components of the group were valuable. RESULTS: There were 14 statements with the same or similar recommendations. There were 10 statements in the CAG guideline not addressed by the ACG guideline and five recommendations where the opposite was the case. There was one statement that the two groups both addressed, but each group came to different conclusions. CAG members were in 100% agreement that involving a patient and having a multidisciplinary team was valuable and may have played a role in these differing interpretations of the same data in an IBS guideline. CONCLUSIONS: There has been little uptake of patient involvement and multidisciplinary teams in guideline groups. However, this study provides a unique example of added benefit through broader group representation.
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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 | 0.065 | 0.284 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".