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Psychometric Properties of the Chinese Version of the Michigan Alcoholism Screening Test (MAST-C) for Patients With Alcoholism

Authors

  • Yu-Jung Hsueh MS, RN,

    Graduate Student
    1. Graduate Institute of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan
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  • Hsin Chu PhD, MD,

    Assistant Professor, Doctor
    1. Institute of Aerospace and Undersea Medicine, School of Medicine, National Defense Medical Center, Taipei, Taiwan
    2. Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
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  • Chang-Chih Huang MD,

    Psychiatrist
    1. Department of Psychiatry, Taoyuan Armed Forces General Hospital, Taoyuan, Taiwan
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  • Keng-Liang Ou PhD, MD,

    Professor
    1. Graduate Institute of Biomedical Materials and Tissue Engineering, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan
    2. Research Center for Biomedical Devices and Prototyping Production, Taipei Medical University, Taipei, Taiwan
    3. Research Center for Biomedical Implants and Microsurgery Devices, Taipei Medical University, Taipei, Taiwan
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  • Chiung-Hua Chen PhD, RN,

    Assistant Professor
    1. Department of Nursing, Meiho University, Pingtung, Taiwan
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  • Kuei-Ru Chou PhD, RN

    Professor, Corresponding author
    1. Graduate Institute of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan
    2. Psychiatric Research Center, Taipei Medical University Hospital, Taipei, Taiwan
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  • Conflict of Interest Statement

    The authors declare that they have no conflict of interest.

Abstract

Purpose

The aim of this study was to examine the psychometric properties of the Chinese version of the Michigan Alcoholism Screening Test (MAST-C).

Design & Methods

The sensitivity, specificity, and positive and negative predictive values for the MAST-C were examined in this study.

Findings

The MAST-C had an internal consistency of 0.83 and a test–retest reliability of 0.89. It had a good content validity index of 0.92. Factor analysis identified four factors and the optimal cutoff point for the MAST-C was a score of 6/7, which yielded a sensitivity of 0.92, a specificity of 0.83, a positive predictive value of 0.92, and a negative predictive value of 0.83.

Practice Implications

The MAST-C provides a fast, accurate, and sensitive method for clinically diagnosing alcoholism and clinical management.

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