Improving Identification of Admitted Patients at High Risk for Complicated Alcohol Withdrawal Using the Prediction of Alcohol Withdrawal Severity Scale (PAWSS) Tool
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Author: Dacillo-Curso, Amy
Thesis advisor: Robin Bilan
Committee member: Meg Larson
Degree granting institution: Pennsylvania Western University
Department: Nursing
Abstract
Alcohol use disorder (AUD) has among been reported in 10-32% of hospitalized patients. The evidence suggests the need for screening and early management of alcohol withdrawal syndrome (AWS). Methods: This project included 2 phases - retrospective and prospective chart reviews. Demographic variables (age, gender, race) and length of stay were examined. Statistical tests were conducted to compare data from the phases. The outcome variables examined were the Prediction of Alcohol Withdrawal Severity Scale (PAWSS) and the Clinical Institute Withdrawal Assessment for Alcohol (CIWA) scale.
Date Created
2022
Date Issued
2022
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This material is embargoed for current PennWest student and employee use only.
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Dacillo-Curso, A. (2022). Improving Identification of Admitted Patients at High Risk for Complicated Alcohol Withdrawal Using the Prediction of Alcohol Withdrawal Severity Scale (PAWSS) Tool.
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