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Updated: Jun 19, 2025
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Chronic Intermittent Ethanol Vapor Exposure Paired with Two-Bottle Choice to Model Alcohol Use Disorder
Published on: June 23, 2023
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Implementation of an Evidence-Based Treatment Protocol and Order Set for Alcohol Withdrawal Syndrome.
Summary
An updated electronic order set improved alcohol withdrawal syndrome (AWS) management in hospitals. Patients using the order set showed better outcomes and were more likely to receive evidence-based treatment for AWS and alcohol use disorder (AUD).
Area of Science:
- Quality Improvement
- Clinical Informatics
- Addiction Medicine
Background:
- Alcohol withdrawal syndrome (AWS) is common in hospitalized patients.
- Evidence supports phenobarbital and gabapentin for AWS management.
- Screening tools and alcohol use disorder (AUD) treatment are crucial for inpatients.
Purpose of the Study:
- To evaluate clinical outcomes and prescribing patterns after updating an electronic order set for inpatient AWS management.
- To assess the impact of a revised protocol on patient care at an academic hospital.
Main Methods:
- Implementation of an updated electronic order set for AWS.
- Inclusion of the Prediction of Alcohol Withdrawal Severity Scale, phenobarbital and gabapentin protocols.
- Data collection for 10 months pre-implementation and 14 months post-implementation.
Main Results:
- A 2.3% decrease in intensive care unit (ICU) transfer rates was observed.
- Patients treated with the order set had superior ICU transfer and length of stay outcomes.
- Order set use increased the likelihood of receiving evidence-based treatment for AWS and AUD.
Conclusions:
- Electronic order sets effectively promote evidence-based practices for AWS management.
- The updated protocol will be maintained, with future focus on user education and accessibility.
- Enhanced order set utilization is key for improving inpatient AWS care.
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