ArticleSchizophrenia bulletin2019
Using Online Screening in the General Population to Detect Participants at Clinical High-Risk for Psychosis.
Article in Schizophrenia bulletin, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
57 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Preventive Treatments for Psychosis: Umbrella Review (Just the Evidence).Frontiers in psychiatry · 2019Pooled it
- Psychosis Polyrisk Score and Polygenic Risk Score to Improve Detection and Prognosis in Individuals at Clinical High Risk for Psychosis: Model Development and Internal Validation.Schizophrenia bulletin · 2026Article
- [Youth mental health: early detection and early intervention of mental disorders].Der Nervenarzt · 2026Review
- Outreach and Support in South London for Bipolar At-Risk States: pilot implementation of a specialist preventive service for adolescents and young adults at risk of developing bipolar disorders.Frontiers in psychiatry · 2026Article
- Observer-Independent Assessment of Content Overlap in Mental Health Questionnaires: Large Language Model-Based Study.JMIR AI · 2025Article
- Digital Tools to Support Post-Secondary Student Mental Health and Wellbeing.Early intervention in psychiatry · 2025Article
- Detecting schizophrenia, bipolar disorder, psychosis vulnerability and major depressive disorder from 5 minutes of online-collected speech.Translational psychiatry · 2025Article
- Digital health technologies in the accelerating medicines Partnership® Schizophrenia Program.Schizophrenia (Heidelberg, Germany) · 2025Article
- Screening the Community for Individuals at Clinical High Risk (CHR) for Psychosis.Early intervention in psychiatry · 2025Article
- Interpersonal difficulties and suicidal ideation in young people at clinical high-risk for psychosis and help-seeking clinical controls.Psychiatry research · 2025Article
- Impacts of risk thresholds and age on clinical high risk for psychosis: a comparative network analysis.European archives of psychiatry and clinical neuroscience · 2025Article
- Addressing the elephant in the screening room: an item response theory analysis of the Prodromal Questionnaire for at-risk symptoms of psychosis.Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999) · 2025Article
- The ENTER study (E-DetectioN Tool for Emerging Mental DisoRders): general population recruitment and data integrity in online screening for psychosis risk.Frontiers in psychiatry · 2025Article
- Negative symptoms and self-reflection increase alienation in individuals at clinical high-risk for psychosis.Frontiers in psychiatry · 2025Article
- Do help-seeking adolescents report more psychotic-like experiences than young adults on the 16-item version of the prodromal questionnaire (PQ-16)?Early intervention in psychiatry · 2025Article
- Psychometric properties of the Spanish version of the measure of insight into cognition-self-report in psychosis-risk and non-clinical Mexican young adults.Early intervention in psychiatry · 2025Article
- Automated movement analysis predicts transition to non-psychotic disorders in individuals at ultra-high risk for psychosis.Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999) · 2025Article
- Digital Mental Health for Schizophrenia and Other Severe Mental Illnesses: An International Consensus on Current Challenges and Potential Solutions.JMIR mental health · 2024Article
- The diagnostic accuracy of screening for psychosis spectrum disorders in behavioral health clinics integrated into primary care.Schizophrenia research · 2024Article
- Clinical and Functional Outcomes of Community-Recruited Individuals at Clinical High-Risk for Psychosis: Results From the Youth Mental Health Risk and Resilience Study (YouR-Study).Schizophrenia bulletin open · 2024Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
introductionIdentification of participants at clinical high-risk (CHR) for the development of psychosis is an important objective of current preventive efforts in mental health research. However, the utility of using web-based screening approaches to detect CHR participants at the population level has not been investigated.
methodsWe tested a web-based screening approach to identify CHR individuals. Potential participants were invited to a website via e-mail invitations, flyers, and invitation letters involving both the general population and mental health services. Two thousand two hundred seventy-nine participants completed the 16-item version of the prodromal questionnaire (PQ-16) and a 9-item questionnaire of perceptual and cognitive aberrations (PCA) for the assessment of basic symptoms (BS) online. 52.3% of participants met a priori cut-off criteria for the PQ and 73.6% for PCA items online. One thousand seven hundred eighty-seven participants were invited for a clinical interview and n = 356 interviews were conducted (response rate: 19.9%) using the Comprehensive Assessment of At-Risk Mental State (CAARMS) and the Schizophrenia Proneness Interview, Adult Version (SPI-A). n = 101 CHR participants and n = 8 first-episode psychosis (FEP) were detected. ROC curve analysis revealed good to moderate sensitivity and specificity for predicting CHR status based on online results for both UHR and BS criteria (sensitivity/specificity: PQ-16 = 82%/46%; PCA = 94%/12%). Selection of a subset of 10 items from both PQ-16 and PCA lead to an improved of specificity of 57% while only marginally affecting sensitivity (81%). CHR participants were characterized by similar levels of functioning and neurocognitive deficits as clinically identified CHR groups.
conclusionThese data provide evidence for the possibility to identify CHR participants through population-based web screening. This could be an important strategy for early intervention and diagnosis of psychotic disorders.
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