Selina Hiller, Laura Emde, Denise Jais, Soňa Nevická Sikorová, Eduard Bakstein, Filip Španiel, Kateřina Urbanová, Eric Hahn, Marco Zierhut, Daniel Fürstenau, Markus Bühner, Lukas Junker, Isabel Maurus, Oliver Pogarell, Peter Falkai, Wolfgang Strube, Ingrid Bauer, Tobias Skuban-Eiseler, Josef Priller, Peter Brieger, Stephan Heres, Alkomiet Hasan, Kerem Böge, Stefan Leucht
{"title":"ILIA研究:智能手机和网络复发监测精神分裂症或分裂情感性障碍患者的随机对照多中心临床试验方案。","authors":"Selina Hiller, Laura Emde, Denise Jais, Soňa Nevická Sikorová, Eduard Bakstein, Filip Španiel, Kateřina Urbanová, Eric Hahn, Marco Zierhut, Daniel Fürstenau, Markus Bühner, Lukas Junker, Isabel Maurus, Oliver Pogarell, Peter Falkai, Wolfgang Strube, Ingrid Bauer, Tobias Skuban-Eiseler, Josef Priller, Peter Brieger, Stephan Heres, Alkomiet Hasan, Kerem Böge, Stefan Leucht","doi":"10.1007/s00406-025-02089-7","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Discussion: </strong>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.</p><p><strong>Trial registration: </strong>German Clinical Trials Register (ID: DRKS00034991; registration date: 30.08.2024).</p>","PeriodicalId":11822,"journal":{"name":"European Archives of Psychiatry and Clinical Neuroscience","volume":" ","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"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.\",\"authors\":\"Selina Hiller, Laura Emde, Denise Jais, Soňa Nevická Sikorová, Eduard Bakstein, Filip Španiel, Kateřina Urbanová, Eric Hahn, Marco Zierhut, Daniel Fürstenau, Markus Bühner, Lukas Junker, Isabel Maurus, Oliver Pogarell, Peter Falkai, Wolfgang Strube, Ingrid Bauer, Tobias Skuban-Eiseler, Josef Priller, Peter Brieger, Stephan Heres, Alkomiet Hasan, Kerem Böge, Stefan Leucht\",\"doi\":\"10.1007/s00406-025-02089-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Discussion: </strong>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. 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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.
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.
期刊介绍:
The original papers published in the European Archives of Psychiatry and Clinical Neuroscience deal with all aspects of psychiatry and related clinical neuroscience.
Clinical psychiatry, psychopathology, epidemiology as well as brain imaging, neuropathological, neurophysiological, neurochemical and moleculargenetic studies of psychiatric disorders are among the topics covered.
Thus both the clinician and the neuroscientist are provided with a handy source of information on important scientific developments.