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ORIGINAL RESEARCH article

Front. Psychiatry

Sec. Digital Mental Health

Volume 16 - 2025 | doi: 10.3389/fpsyt.2025.1665854

This article is part of the Research TopicPsychopathological and behavioral trajectories in transitional-age youth: Innovative approaches and paradigmsView all 12 articles

The ENTER Study (E-DetectioN Tool for Emerging Mental DisoRders): General Population Recruitment and Data Integrity in Online Screening for Psychosis Risk

Provisionally accepted
  • 1Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
  • 2School of Psychology and Neuroscience, Glasgow, United Kingdom
  • 3Outreach and Support in South-London (OASIS) Service, South London and Maudsley NHS Foundation Trust, London, United Kingdom
  • 4Department of Brain and Behavioral Sciences, Università di Pavia, Pavia, Italy
  • 5Department of Child and Adolescent Psychiatry, Charité - Universitätsmedizin Berlin, Berlin, Germany
  • 6School of Psychology and Neuroscience, University of Glasgow, Glasgow, United Kingdom

The final, formatted version of the article will be published soon.

Introduction: Effective detection of young people at clinical high-risk for psychosis (CHR-P) is one of the rate-limiting steps in improving outcomes through preventive treatment. ENTER (E-DetectioN Tool for Emerging Mental DisoRders) was developed to refine and increase the specificity of e-detection strategies to identify young people in the community who might be exhibiting emerging symptoms of psychosis. The paper aimed to outline the ENTER procedure, data validation process and characteristics of the self-selected sample. Methods: The ENTER study was conducted across sites in London, Glasgow (UK) and Pavia (Italy). Participants aged 12-35 in the general population were recruited through universities, colleges, flyers and social media. The online screener collected data on demographics, cognition, speech, environmental risk and protective factors and frequent subthreshold features which characterise emerging psychotic disorders. Results: A total of 8,009 participants completed the screener over a period of three years. However, only 2,540 responses (32%) were deemed valid. The mean age of participants was 23 years old. The majority were female (77%), identified as white (70%), and had some experience in higher education (82%). Nearly half of the valid sample (48%) scored ≥6 on the Prodromal Questionnaire (PQ-16). Discussion: The proportion of participants scoring ≥6 on the PQ-16 is consistent with findings from other European studies in general population and outpatient mental health settings. The procedures and sample characteristics reported here provide context for further analyses using the ENTER tool. Additionally, the findings highlight the considerable challenge of fraudulent and inauthentic responses in online research—an issue that may have been amplified by the use of financial incentives and recruitment via social media.

Keywords: Clinical high risk (CHR) for psychosis, psychosis risk, Attenuated psychotic symptoms, Online screening, Online fraud detection, data quality

Received: 14 Jul 2025; Accepted: 21 Oct 2025.

Copyright: © 2025 Wallman, Estradé, Azis, Haining, Liang, Spencer, Diederen, Provenzani, Uhlhaas and Fusar-Poli. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Phoebe Wallman, phoebe.e.wallman@kcl.ac.uk

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