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
Status Publisher Language English Country Germany Media print-electronic
Document type Journal Article
PubMed
40828423
DOI
10.1007/s00406-025-02089-7
PII: 10.1007/s00406-025-02089-7
Knihovny.cz E-resources
- Keywords
- App, Digital monitoring, Outpatient treatment, Relapse, Schizophrenia, Shared-decision making,
- Publication type
- Journal Article MeSH
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).
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 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
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
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