Diagnostic Reliability and Validity of the Semi-Structured Assessment for Drug Dependence and Alcoholism (SSADDA) Chinese Version

  • Bao Zhu Yang
  • , Liang Jen Wang
  • , Ming Chyi Huang
  • , Sheng Chang Wang
  • , Meng Chang Tsai
  • , Yu Chi Huang
  • , Yaira Z. Nunez
  • , Mei Hing Ng
  • , Henry R. Kranzler
  • , Joel Gelernter
  • , Chih Ken Chen*
  • *Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

3 Scopus citations

Abstract

The Semi-Structured Assessment for Drug Dependence and Alcoholism (SSADDA) is a polydiagnostic instrument for substance use and psychiatric disorders. We translated the SSADDA English version into Chinese (SSADDA-Chinese) and report here our examination of the diagnostic reliability and validity of DSM-IV substance dependence (SD) diagnoses in a Mandarin-speaking sample in Taiwan. We recruited 125 subjects who underwent an assessment of lifetime SD diagnoses using both the SSADDA-Chinese and the Structured Clinical Interview for DSM-IV, Clinician Version (SCIDChinese). Thirty-one subjects were retested with the SSADDA-Chinese. Cohen's k statistic, which measures chance-corrected agreement, was used to measure the test-retest reliability and concurrent validity of the individual SD diagnoses. There was a high degree of concordance between SD diagnoses made using the SSADDA-Chinese and the SCIDChinese, including those for dependence on alcohol (k = 0.83), ketamine (k = 0.97), methamphetamine (k = 0.93), and opioids (k = 0.95). The test-retest reliability of dependence diagnoses for ketamine (k = 0.95), methamphetamine (k = 0.80), and opioids (k = 1.00) obtained using the SSADDA Chinese was excellent, while that for alcohol dependence (k = 0.63) and nicotine dependence (k = 0.65) was good. We conclude that the SSADDA-Chinese is a reliable and valid instrument for the diagnosis of major SD traits in Mandarinspeaking populations.

Original languageEnglish
Pages (from-to)62-67
Number of pages6
JournalComplex Psychiatry
Volume6
Issue number3-4
DOIs
StatePublished - 01 02 2021

Bibliographical note

Publisher Copyright:
© 2020 The Author(s) Published by S. Karger AG, Basel.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Chinese Semi-Structured Assessment for Drug Dependence and Alcoholism
  • Diagnostic instrument
  • Ketamine dependence
  • Semi-structured interview
  • Test-retest reliability

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