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Am J Psychiatry 1993; 150:873-879
Copyright © 1993 by American Psychiatric Association
Assessment of insight in psychosis
XF Amador, DH Strauss, SA Yale, MM Flaum, J Endicott and JM Gorman
Department of Clinical Psychobiology, New York State Psychiatric Institute, NY 10032.
OBJECTIVE: It is frequently reported that patients with psychotic disorders
have poor insight into their illness. Previous research has suggested that
poor insight may have considerable power in predicting the long-term course
of chronic mental disorders and an impact on patients' compliance with
treatment plans. The authors, proposing that insight is best viewed as a
multidimensional phenomenon, developed the Scale to Assess Unawareness of
Mental Disorder, which samples discrete and global aspects of insight
across a variety of manifestations of illness. This article reports on a
reliability and validity study of the scale. METHOD: The study subjects
were 43 patients with schizophrenia and schizoaffective disorder. Various
aspects of insight into illness were evaluated with the scale. In addition,
ratings of psychopathology, course of illness, and compliance with
treatment were made. RESULTS: Item variability was high and normally
distributed, supporting the authors' contention that insight can be rated
on a continuous rather than dichotomous scale. Results of the analyses
examining the relations between the various dimensions of insight assessed
and the psychopathology, course, and compliance variables were generally as
hypothesized. Convergent validity with other global measures of insight was
found, and aspects of poor insight were correlated with poorer compliance
and course of illness. Examination of the interrelations among the four
insight subscales revealed that these subscales sample independent
phenomena. CONCLUSIONS: The Scale to Assess Unawareness of Mental Disorder
has good reliability and validity and has certain advantages over previous
measures of insight, suggesting the usefulness of a multidimensional view
of this complex concept.
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