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The ILIA study: protocol for a randomized-controlled multicenter clinical trial on smartphone- and web-based relapse monitoring for patients with schizophrenia or schizoaffective disorder

. 2025 Aug 19 ; () : . [epub] 20250819

Status Publisher Language English Country Germany Media print-electronic

Document type Journal Article

Links

PubMed 40828423
DOI 10.1007/s00406-025-02089-7
PII: 10.1007/s00406-025-02089-7
Knihovny.cz E-resources

BACKGROUND: Despite the proven efficacy of antipsychotics in relapse prevention in schizophrenia and schizoaffective disorder, every third patient experiences a relapse within less than one year. Relapses can worsen psychosocial and treatment related outcomes and lead to substantial economic costs, primarily due to frequent and prolonged hospitalizations. The aim of this project is to evaluate a smartphone- and web-based digital solution for detecting early warning signs of schizophrenia and schizoaffective disorder to reduce relapses and subsequent hospitalizations. METHODS: This randomized controlled trial compares the add-on use of a smartphone-based app for monitoring relapse warning signs in patients with schizophrenia and schizoaffective disorders (ICD-10 F20/F25) used within the routine psychiatric outpatient treatment against treatment as usual (TAU) without any further study-related intervention. Patients in the intervention group use the app for one year, fill in the weekly ten-item Early Warning Signs Questionnaire (EWSQ-10P) and obtain in-app feedback. Clinicians can access the symptom trajectory via a browser-accessible dashboard. If a threshold is exceeded in the inbuilt automatic algorithm, an alert is sent to both, the clinician and patient, enabling timely contact and, as part of a shared decision-making process, an optional adjustment of treatment decision. A total of 110 outpatients are recruited across eight study sites. DISCUSSION: Continuous monitoring of early warning signs is expected to lead to behavioral changes and to decrease the necessity and duration of psychiatric hospital stays, thereby lowering healthcare costs. Additionally, the intervention could reduce symptom severity, alleviate medication adherence, shared decision-making, patient activation or quality of life. Qualitative data is collected to better understand patient needs and preferences regarding app usage and relapses. Insights gained from this study can be integrated into routine psychiatric care, improving the long-term treatment of patients with schizophrenia or schizoaffective disorder. TRIAL REGISTRATION: German Clinical Trials Register (ID: DRKS00034991; registration date: 30.08.2024).

Analysis and interpretation of biomedical data Faculty of Electrical Engineering Prague Czech Republic

Berlin Institute of Health at Charité Universitätsmedizin Berlin BIH Biomedical Innovation Academy BIH Charité Clinician Scientist Program Berlin Germany

Center for first episodes of SMI National Institute of Mental Health Klecany Czech Republic

Department for Psychiatry and Psychotherapy LMU University Hospital Munich Germany

Department for Psychology Medical University Brandenburg Neuruppin Germany

Department of Psychiatry and Neuroscience Charité Universitätsmedizin Berlin Campus Benjamin Franklin Berlin Germany

Department of Psychiatry Psychotherapy and Psychosomatics Faculty of Medicine University of Augsburg Augsburg Germany

Department of Psychology Faculty of Arts Charles University Prague Czech Republic

Department of Psychology LMU Munich Munich Germany

DZPG partner site Berlin Berlin Germany

DZPG partner site Munich Augsburg Munich Germany

Institute of Medical Informatics Charité Universitätsmedizin BerlinFreie Universität Berlin and Humboldt Universität zu Berlin Berlin Germany

Institute of the History Philosophy and Ethics of Medicine Faculty of Medicine Ulm University Ulm Germany

kbo Isar Amper Klinikum Region München München Haar Germany

Max Planck Institute for Psychiatry Munich Germany

Mindpax me Prague Czech Republic

School of Business and Economics Freie Universität Berlin Berlin Germany

Technical University of Munich TUM School of Medicine and Health Department of Psychiatry and Psychotherapy TUM University Hospital Munich Germany

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