Effect of Technology-Enhanced Screening in Addition to Standard Targeted Clinician Education on the Duration of Untreated Psychosis: A Cluster Randomized Clinical Trial.

Importance: Reducing the duration of untreated psychosis (DUP) is essential to improving outcomes for people with first-episode psychosis (FEP). Current US approaches are insufficient to reduce DUP to international standards of less than 90 days. Objective: To determine whether population-based electronic screening in addition to standard targeted clinician education increases early detection of psychosis and decreases DUP, compared with clinician education alone. Design, Setting, and Participants: This cluster randomized clinical trial included individuals aged 12 to 30 years presenting for services between March 2015 and September 2017 at participating sites that included community mental health clinics and school support and special education services. Eligible participants were referred to the Early Diagnosis and Preventative Treatment (EDAPT) Clinic. Data analyses were performed in September and October 2019 for the primary and secondary analyses, with the exploratory subgroup analyses completed in May 2021. Interventions: All sites in both groups received targeted education about early psychosis for health care professionals. In the active screening group, clients also completed the Prodromal Questionnaire-Brief using tablets at intake; referrals were based on those scores and clinical judgment. In the group receiving treatment as usual (TAU), referrals were based on clinical judgment alone. Main Outcomes and Measures: Primary outcomes included DUP, defined as the period from full psychosis onset to the date of the EDAPT diagnostic telephone interview, and the number of individuals identified with FEP or a psychosis spectrum disorder. Exploratory analyses examined differences by site type, completion rates between conditions, and days from service entry to telephone interview. Results: Twenty-four sites agreed to participate, and 12 sites were randomized to either the active screening or TAU group. However, only 10 community clinics and 4 school sites were able to fully implement population screening and were included in the final analysis. The total potentially eligible population size within each study group was similar, with 2432 individuals entering at active screening group sites and 2455 at TAU group sites. A total of 303 diagnostic telephone interviews were completed (178 [58.7%] female individuals; mean [SD] age, 17.09 years [4.57]). Active screening sites reported a significantly higher detection rate of psychosis spectrum disorders (136 cases [5.6%], relative to 65 [2.6%]; P < .001) and referred a higher proportion of individuals with FEP and DUP less than 90 days (13 cases, relative to 4; odds ratio, 0.30; 95% CI, 0.10-0.93; P = .03). There was no difference in mean (SD) DUP between groups (active screening group, 239.0 days [207.4]; TAU group 262.3 days [170.2]). Conclusions and Relevance: In this cluster trial, population-based technology-enhanced screening across community settings detected more than twice as many individuals with psychosis spectrum disorders compared with clinical judgment alone but did not reduce DUP. Screening could identify people undetected in US mental health services. Significant DUP reduction may require interventions to reduce time to the first mental health contact. Trial Registration: ClinicalTrials.gov Identifier: NCT02841956.

Item-level endorsement on the Prodromal Questionnaire in a large non-clinical sample.

BACKGROUND: Brief questionnaires, such as the Prodromal Questionnaire (PQ) positive scale, have been used to pre-screen individuals who may be at clinical high-risk (CHR) for psychosis. Despite the apparent utility of the PQ, few studies have examined response styles in non-clinical settings, which this study aimed to assess. METHODS: Response frequencies were examined for PQ positive subscale items in 3584 students (ages 18-35) from a nationally representative, semi-public undergraduate institution. Highly endorsed items were evaluated further in conjunction with established cutoffs and associated symptom ratings from the Structured Interview for Psychosis-risk Syndromes (SIPS) in a smaller subset of participants (n = 162). Positive subscale and distressing item responses were also evaluated by gender, race, and ethnicity using measurement invariance analyses and by comparing the relative proportion of individuals above established cutoffs. RESULTS: Fifteen symptoms were endorsed by over 20 % of the sample with as high as 71 % of respondents endorsing them. Responses to 12 of these items were not associated with ratings on the SIPS. The PQ functioned similarly across demographic characteristics with strong evidence found for gender and race invariance across items and strong ethnicity invariance and partial invariance for positive subscale items and distressing items, respectively. CONCLUSIONS: These findings suggest that a commonly used psychosis-risk questionnaire may not be appropriate for non-clinical samples, with the possibility of high false positive rates of those at CHR for psychosis. Future large-scale epidemiological studies should evaluate if psychosis-risk screeners can be improved to identify CHR individuals in community settings.

Examining self-reported social functioning, sleep quality, and psychotic-like experiences in college students.

Impairments in social and role functioning have been associated with the prodromal phase of psychosis. Additionally, sleep disturbances impacting daily functioning have been detected across the schizophrenia spectrum. Relationships between social functioning, sleep quality, and psychotic-like experiences (PLEs) in undergraduate-level student populations are less understood. The current project aimed to investigate whether self-reported measures of sleep quality would moderate the relationship between social functioning and PLE endorsement in a community sample of 3042 undergraduate student participants between the ages of 18-35. Participants completed the Social Functioning Scale, the Pittsburgh Sleep Quality Index, and the Prodromal Questionnaire, which indexed PLEs. Bivariate correlations revealed significant associations between social functioning, sleep, and PLEs. As expected, poor sleep and poor social functioning were associated with increased endorsement of PLEs. Contrary to expectation, poor sleep quality was associated with better social functioning. In hierarchical multiple regression models, the interaction between social functioning and sleep was not associated with PLE endorsement. Results indicated that both poor sleep and poor social functioning were significantly associated with PLEs when included in the same model. These findings suggest that poor social functioning and disrupted sleep may act additively to influence PLEs, and that they are both important contributors to psychotic symptoms. Due to deleterious effects of poor sleep on physical and emotional health, these findings provide impetus to further investigate relationships between sleep quality, social functioning, and PLEs using such high-resolution methods as actigraphy, mobile sensing, ecological momentary assessment, and neuroimaging.

Factor Structure, Convergent, and Divergent Validity of the Prodromal Questionnaire-Negative Symptom Subscale.

Negative symptoms such as anhedonia are associated with psychosis risk and poorer outcomes. The Prodromal Questionnaire (PQ) is a self-report questionnaire used to screen for psychosis spectrum symptoms. However, the convergent and divergent validity and underlying factor structure of the PQ-negative symptom subscale (PQ-N) have yet to be examined. Undergraduates (N = 1,556) completed the PQ, Temporal Experience of Pleasure Scale, and measures assessing anxiety, depression, and motivation. An exploratory factor analysis conducted on the PQ-N yielded a two-factor solution, reflecting subdimensions of social expression and dissociative-depressive experiences, contrary to previous research examining the factor structure of negative symptoms. Associations between the PQ-N, its two factors, and measures of negative symptoms and other psychopathology were examined. Results indicated that the PQ-N and its factors were more strongly correlated with measures of depression and anxiety than with measures of negative symptoms relating to motivation and pleasure, suggesting poor convergent and divergent validity.

Clinical and neurodevelopmental correlates of aggression in early psychosis.

BACKGROUND: Although mental illness accounts for only 4% of aggressive behavior in the general population, there remains a modest association between aggressive behavior and psychotic disorders, particularly in the early stages of the illness. However, little is known about the specific factors associated to this increased risk. AIMS: The present study aims to assess the rates, characteristics and risk factors of aggressive behavior in first episode psychosis patients (FEP). METHOD: We conducted a retrospective chart review of 449 FEP patients recruited from an outpatient early psychosis clinic. Aggressive behavior and clinical information were rated based upon information gathered from the chart review of data collected at baseline and after 6 months of follow-up. RESULTS: Rates of aggressive behavior were 54.3% in FEP patients. Aggressive behavior was significantly associated with higher rates of history of birth complications, neurodevelopmental delays, learning difficulties, alcohol use disorders, and the clinical domain of poverty symptoms. In addition to aggressive behavior, 16.7% of FEP patients exhibited suicidal ideation or behaviors and 11.4% exhibited non-suicidal self-injurious behavior (NSSIB). In contrast to baseline, aggressive behaviors at 6 months follow up were almost entirely absent. CONCLUSIONS: Patients at early stages of psychosis have high rates of aggressive and suicidal behavior prior to contact with clinical services. Neurodevelopmental adversities, alcohol use disorders and poverty symptoms are associated to higher risk of aggression in early psychosis. Participation in early psychosis specialty care resulted in a dramatic reduction in aggressive behavior.

Enhancing early psychosis treatment using smartphone technology: A longitudinal feasibility and validity study.

Smartphone applications that promote symptom tracking and self-management may improve treatment of serious mental illness (SMI). Although feasibility has been established in chronic adult outpatient or inpatient SMI samples, no data exist regarding implementation of smartphone technology in adolescent and young adult populations as part of early psychosis (EP) outpatient care. We implemented a smartphone "app" plus clinician Dashboard as an add-on treatment tool in the University of California, Davis Early Psychosis Program. Participants completed daily and weekly surveys examining mood, symptoms, and treatment relevant factors via the app for up to 14 months. Clinicians discussed symptom ratings and surveys during regular treatment sessions using the Dashboard. We report methodological details of the study, feasibility metrics, and analyses of the validity of measuring symptoms via self-report using mobile health (mHealth) technology in comparison to gold-standard clinician-rated interviews based on a comprehensive longitudinal analysis of within-person data. Results demonstrate that integrating mHealth technology into EP care is feasible and self-report assessment of symptoms via smartphone provides symptom data comparable to that obtained via gold-standard clinician-rated assessments.