How prescribing available pharmacotherapies for alcohol use disorder can impact the healthcare system: A retrospective quality improvement study
Bibliographic record
Abstract
Alcohol use disorder is a multifactorial undertreated chronic disorder influenced by genetic, psychological, and environmental factors. Numerous pharmacotherapies are available and effective but are underutilized in healthcare. The purpose of this retrospective quality improvement study is to determine the impact of education sessions on the availability and efficacy of medications (focusing on Naltrexone) to treat alcohol use disorder in the healthcare system. Control charts were implemented to monitor the system change in two comparable urban areas. Dispensing rates increased at three points after a series of presentations. The first increase from baseline was 2.47 times, the second 3.7, and the third 4.81. Coinciding with these, weekly visits to the emergency department also decreased by 35% and stabilized at a 15% reduction. It was also observed that alcohol use disorder hospital admission rates decreased by 21%, but bounced back once the education sessions ended. Combined with counselling, pharmacotherapies can be effective in combating alcohol use disorder, while potentially reducing demands on the healthcare system.
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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 | 0.009 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".