1. Validation of a novel Psychosis-Implicit Association Test (P-IAT) as a diagnostic support tool.
- Author
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Kirschenbaum, Michael A., Lopez, Leonardo V., de Filippis, Renato, Ali, Asra F., Millner, Alexander J., Nock, Matthew K., and Kane, John M.
- Subjects
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PSYCHIATRIC rating scales , *PSYCHOSES , *DIAGNOSTIC services - Abstract
• There are no currently available psychosis screening or diagnostic support tools that avoid reliance on self-report • P-IAT may be useful in identifying individuals with psychotic illness in community settings • P-IAT demonstrated promising discriminant performance • The test may be particularly useful in settings with limited access to specialty providers Despite significant advances in early-intervention services for psychosis, delays in identifying patients continue to impede the delivery of prompt and effective treatments. We sought to develop and preliminarily validate a self-administered psychosis implicit association task (P-IAT) as a screening and diagnostic support tool for identifying individuals with psychotic illness in community settings. The P-IAT is a response latency task, designed to measure the extent to which individuals implicitly associate psychosis-related terms with the "self." The P-IAT was administered to 57 participants across 3 groups: healthy controls (N=19), inpatients hospitalized with active psychosis (N=19), and outpatients with psychotic disorders (N=19). Mean D-scores (the output of the task) differed significantly between the illness groups and healthy controls (Mann-Whitney U=138, p<.001). A receiver operating curve was plotted to assess the performance of D-scores in predicting a psychosis diagnosis, yielding an area under the curve of 0.81. When participant D-scores exceeded -0.24, the test achieved a specificity of 100% (sensitivity: 47%), with all 18 participants scoring above this threshold belonging to the illness groups. The discriminant performance of the P-IAT suggests its potential to augment existing screening instruments and inform referral decision making, particularly in settings with limited access to specialist providers. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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