Psychosis-Spectrum Screening and Assessment Within a College Counseling Center: A Pilot Study Exploring Feasibility and Clinical Need.

Evidence supports the use of brief psychosis-spectrum screening tools for identifying individuals at an increased risk of developing a psychotic disorder. Screening has not been well studied in general mental health settings that serve young adults in the age range associated with highest risk for psychosis. This study explored the feasibility of psychosis-risk screening and assessment among help-seeking students at a university counseling center. The PRIME Screen-Revised was administered to students at clinic intake. Participants who screened positively were offered a follow-up assessment using the Structured Interview for Psychosis-risk Syndromes (SIPS). At intake, 510 students completed the PRIME Screen-Revised, with 132 (25.9%) screening positive. Comprehensive psychosis-spectrum evaluations were completed with 38 participants, and 22 met criteria for a psychosis-spectrum disorder, representing 57.9% of this subsample. Findings suggest that psychosis-risk screening in a college clinic is a promising approach to identifying those at high risk for or in the early stages of psychosis.

Sleep quality moderates the association between psychotic-like experiences and suicidal ideation among help-seeking university students.

Suicide is a leading cause of death for young adults, and college-enrolled students are at markedly high risk for suicide. Psychotic-like experiences (PLEs) and sleep difficulties are prevalent among college students and have been linked to increased suicidal ideation (SI). This cross-sectional study examined the relation between PLEs and SI, moderated by sleep quality, in a sample of 442 students at a university counseling center. The Behavioral Health Measure-43 (BHM-43) was used to evaluate mental health symptoms, including sleep quality and SI. The PRIME Screen-Revised was used to measure PLEs. Regression results indicated that higher PRIME scores statistically predicted greater SI. There was a significant interaction between PRIME and sleep quality in predicting SI. Among individuals with greater sleep difficulties, PLEs were positively, significantly associated with SI. The PRIME was not a significant predictor of SI at lower levels of sleep difficulties (i.e. better sleep quality). This interaction effect remained significant when controlling for age and the BHM-43 depression and bipolar subscales. Findings suggest that sleep difficulties may be linked to increased SI for individuals with PLEs, and better sleep may be protective. Further research is needed to explore treatment targeting PLEs and/or sleep to mitigate suicide risk among university students.