The development and evaluation of a provider-focused educational intervention about alcohol use disorder in patients with cirrhosis
Bibliographic record
Abstract
Background: Alcohol use disorder (AUD) is a leading cause of cirrhosis. Insufficient clinician knowledge and comfort managing AUD impacts access to treatment. Using Kern's Framework for Curriculum Development, we aimed to (i) develop and evaluate the effect of an "AUD in cirrhosis" educational intervention on clinicians' knowledge, attitudes, comfort, preparedness, and intention (practice habits) to integrate AUD management into their practice, and (ii) assess clinicians' motivation using Self Determination Theory. Methods: Kern's approach was used for curriculum development. Pilot session feedback informed a three-part flipped-classroom series conducted by interdisciplinary clinicians in hepatology, psychiatry, primary care, and addiction psychology. Participants watched a video followed by a live session focused on (a) withdrawal, (b) screening and brief intervention, and (c) prescribing pharmacotherapy. Questionnaires assessing knowledge and practice habits were adapted from the literature. Attitudes were evaluated using the Short Alcohol and Alcohol Problems Perception Questionnaire (SAAPPQ). Self Determination Theory informed motivation questions. Results: = 229 clinicians; 95 completed questionnaires) revealed significant improvements in preparedness and comfort screening, providing a brief intervention, prescribing pharmacotherapy, and SAAPPQ domains. No significant changes were observed in the intention to prescribe pharmacotherapy. Effect size analysis showed medium to large effects across most topic areas. Conclusions: The developed sessions improved knowledge, attitudes, and practice habits of clinicians caring for this patient population. Given the rise in AUD and significant consequences in cirrhosis, this data offers promise that interactive education may improve practice habits of clinicians interfacing with this patient population.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".