Understanding Nurse Perceptions of Caring for Patients With Alcohol Use Disorder
Bibliographic record
Abstract
BACKGROUND: Alcohol use disorder (AUD), the problematic consumption of alcohol, affects 107 million people worldwide. Individuals with AUD experience high morbidity and increased mortality. Nurses practicing in acute care are ideally positioned to deliver quality interventions to patients with AUD, including screening and brief intervention; formal training and assessment of baseline knowledge, attitudes, and perceptions are necessary. AIMS AND OBJECTIVES: The aim of this study was to explore the knowledge, attitudes, and perceptions of acute care nurses caring for patients with AUD. DESIGN: This study used a cross-sectional survey design. METHODS: The Survey of Attitudes and Perceptions was completed by 93 nurses working in six acute care centers (seven medicine units) across Alberta. Data were analyzed using descriptive and inferential statistics. RESULTS: Few participants reported receiving any prior structured training on AUD, with the majority reporting limited knowledge of alcohol and the effects of alcohol consumption. Although most participants said that caring for patients with AUD was a part of their professional role, few felt satisfied or motivated to work with this group of patients. Responses to individual questions or subdomains of the survey did not significantly differ by length of time in professional role, employment status, or sex. CONCLUSION: Our results indicate that nurses need to learn more about caring for patients with AUD. Developing tailored educational interventions that are mindful of the importance of knowledge, support, satisfaction, and motivation is necessary to improve the quality of care for patients with AUD.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".