Computerized binary scale of auditory speech hallucinations (cbSASH)

Massoud Stephane, Giuseppe Pellizzer, Susan Roberts, Kate McClannahan

Research output: Contribution to journalArticlepeer-review

18 Scopus citations


Background: Evidence indicates that the neuropathology of auditory verbal hallucinations (AVH) varies according to their phenomenological characteristics. Therefore, AVH should be subgrouped accordingly in hallucinations research. As evaluation of these characteristics depends entirely on the patient report, obtaining measurement of the reliability of these reports is crucial. Method: A computerized binary scale of auditory speech hallucinations (cbSASH) was developed to evaluate the phenomenology of AVH. It includes two subscales (inconsistency and malingering) to assess the reliability of the patient report. The cbSASH was administered along with MMPI-2, a general psychopathology scale, which includes similar validity subscales. Thirty-four psychotic patients with history of AVH were enrolled in this study. Results: The scores on the inconsistency and malingering subscales of the cbSASH were correlated with the scores on the corresponding validity subscales in the MMPI-2. The combination of the malingering and inconsistency subscales provided robust measures of the reliability and ability of the patients' descriptions of their hallucinations. Conclusion: The cbSASH provides a reliable and comprehensive evaluation of the phenomenology of AVH. Consequently, it is possible to subgroup patients according to the characteristics of their hallucinations. This refinement of AVH phenotypes could reduce the noise and inconsistency noted in AVH and psychosis research.

Original languageEnglish
Pages (from-to)73-81
Number of pages9
JournalSchizophrenia research
Issue number1-3
StatePublished - Dec 2006


  • AVH
  • Endophenotype
  • Phenotype
  • Schizophrenia
  • Validity measures


Dive into the research topics of 'Computerized binary scale of auditory speech hallucinations (cbSASH)'. Together they form a unique fingerprint.

Cite this