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计算机化听觉言语幻觉二元量表(cbSASH)

Computerized binary scale of auditory speech hallucinations (cbSASH).

作者信息

Stephane Massoud, Pellizzer Giuseppe, Roberts Susan, McClannahan Kate

机构信息

The Domenici Research Center for Mental Illness, VA Medical Center, Minneapolis, and Department of Psychiatry, University of Minnesota, Minneapolis, MN 55417, USA.

出版信息

Schizophr Res. 2006 Dec;88(1-3):73-81. doi: 10.1016/j.schres.2006.05.020. Epub 2006 Aug 9.

DOI:10.1016/j.schres.2006.05.020
PMID:16901679
Abstract

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.

摘要

背景

有证据表明,幻听的神经病理学特征因现象学特点而异。因此,在幻觉研究中,应据此对幻听进行亚组划分。由于对这些特征的评估完全依赖于患者报告,所以获取这些报告可靠性的测量至关重要。

方法

开发了一种计算机化的听觉言语幻觉二元量表(cbSASH)来评估幻听的现象学。它包括两个子量表(不一致性和诈病)以评估患者报告的可靠性。cbSASH与明尼苏达多项人格调查表第二版(MMPI - 2)一起使用,MMPI - 2是一种一般精神病理学量表,包含类似的效度子量表。本研究纳入了34名有幻听病史的精神病患者。

结果

cbSASH的不一致性和诈病子量表得分与MMPI - 2中相应效度子量表得分相关。诈病和不一致性子量表的组合为患者幻觉描述的可靠性和能力提供了有力的测量。

结论

cbSASH为幻听的现象学提供了可靠且全面的评估。因此,有可能根据幻觉特征对患者进行亚组划分。这种对幻听表型的细化可以减少幻听和精神病研究中出现的噪声和不一致性。

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