Multilayered and digitally structured presentation formats of trustworthy recommendations: a combined survey and randomised trial
Bibliographic record
Abstract
OBJECTIVES: To investigate practicing physicians' preferences, perceived usefulness and understanding of a new multilayered guideline presentation format-compared to a standard format-as well as conceptual understanding of trustworthy guideline concepts. DESIGN: Participants attended a standardised lecture in which they were presented with a clinical scenario and randomised to view a guideline recommendation in a multilayered format or standard format after which they answered multiple-choice questions using clickers. Both groups were also presented and asked about guideline concepts. SETTING: Mandatory educational lectures in 7 non-academic and academic hospitals, and 2 settings involving primary care in Lebanon, Norway, Spain and the UK. PARTICIPANTS: 181 practicing physicians in internal medicine (156) and general practice (25). INTERVENTIONS: A new digitally structured, multilayered guideline presentation format and a standard narrative presentation format currently in widespread use. PRIMARY AND SECONDARY OUTCOME MEASURES: Our primary outcome was preference for presentation format. Understanding, perceived usefulness and perception of absolute effects were secondary outcomes. RESULTS: 72% (95% CI 65 to 79) of participants preferred the multilayered format and 16% (95% CI 10 to 22) preferred the standard format. A majority agreed that recommendations (multilayered 86% vs standard 91%, p value=0.31) and evidence summaries (79% vs 77%, p value=0.76) were useful in the context of the clinical scenario. 72% of participants randomised to the multilayered format vs 58% for standard formats reported correct understanding of the recommendations (p value=0.06). Most participants elected an appropriate clinical action after viewing the recommendations (98% vs 92%, p value=0.10). 82% of the participants considered absolute effect estimates in evidence summaries helpful or crucial. CONCLUSIONS: Clinicians clearly preferred a novel multilayered presentation format to the standard format. Whether the preferred format improves decision-making and has an impact on patient important outcomes merits further investigation.
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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 | 0.016 | 0.033 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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".