Canadian Guidelines on Alcohol Use Disorder Among Older Adults
Bibliographic record
Abstract
BACKGROUND: Alcohol use disorder (AUD) is an increasingly common, under-recognized, and under-treated health concern in older adults. Its prevalence is expected to reach unprecedented levels as the Canadian population ages. In response, Health Canada commissioned the Canadian Coalition of Seniors' Mental Health to create guidelines for the prevention, screening, assessment, and treatment of AUD in older adults. METHODS: A systematic review of English language literature from 2008-2018 regarding AUD in adults was conducted. Previously published guidelines were evaluated using AGREE II, and key guidelines updated using ADAPTE method by drawing on current literature. Recommendations were created and assessed using the GRADE method. RESULTS: Twenty-two recommendations were created. Prevention recommendations: Best advice for older adults who choose to drink is to limit intake to well below the national Low-Risk Alcohol Drinking Guidelines. Screening recommendations: Alcohol consumption should be reviewed and discussed on an annual basis by primary care providers. This type of discussion needs to be normalized and approached in a simple, neutral, straight-forward manner. Assessment recommendations: Positive screens for AUD should be followed by a comprehensive assessment. Once more details are obtained an individualized treatment plan can be recommended, negotiated, and implemented. Treatment recommendations: AUD falls on a spectrum of mild, moderate, and severe. It can also be complicated by concurrent mental health, physical, or social issues, especially in older adults. Naltrexone and Acamprosate pharmacotherapies can be used for the treatment of AUD in older adults, as individually indicated. Psychosocial treatment and support should be offered as part of a comprehensive treatment plan. CONCLUSION: These guidelines provide practical and timely clinical recommendations on the prevention, assessment, and treatment of AUD in older adults within the Canadian context.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.027 | 0.011 |
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".