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Improving Identification of Admitted Patients at High Risk for Complicated Alcohol Withdrawal Using the Prediction of Alcohol Withdrawal Severity Scale (PAWSS) Tool Edit

Summary

Identifier
190 - 01 - 04 - Improving Identification of Adm

Dates

  • 2022 (Creation)

Extents

  • 1 Files (Whole)

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Notes

  • Physical Characteristics and Technical Requirements

    Available only in electronic format.

  • Scope and Contents

    Publisher: Place of publication not identified : Pennsylvania Western University

    Publication Date: 2022

    Format: 1 online resource (31 pages) text file PDF

    Description:

    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.

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