Evidence map›Paper›PMID 40828423›Full record

ArticleEuropean archives of psychiatry and clinical neuroscience2026

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.

Selina Hiller, Laura Emde, Denise Jais, Soňa Nevická Sikorová, Eduard Bakstein, Filip Španiel, Kateřina Urbanová, Eric Hahn, Marco Zierhut, Daniel Fürstenau and 14 more

Abstract readClinical Trial Protocol
In one paragraph

Article in European archives of psychiatry and clinical neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Letter to the Editor, European archives of psychiatry and clinical neuroscience 31st May 2026.European archives of psychiatry and clinical neuroscience · 2026
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors.

Selina HillerTechnical University of Munich, TUM School of Medicine and Health, Department of Psychiatry and Psychotherapy, TUM University Hospital, Munich, Germany. selina.hiller@tum.de.ORCID http://orcid.org/0000-0003-0041-7722
Laura EmdeDepartment of Psychiatry and Neuroscience, Charité - Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany.
Denise JaisDepartment of Psychiatry and Neuroscience, Charité - Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany.
Soňa Nevická SikorováMindpax.me, Prague, Czech Republic.
Eduard BaksteinMindpax.me, Prague, Czech Republic.
Filip ŠpanielCenter for first episodes of SMI, National Institute of Mental Health, Klecany, Czech Republic.
Kateřina UrbanováMindpax.me, Prague, Czech Republic.
Eric HahnDepartment of Psychiatry and Neuroscience, Charité - Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany.
Marco ZierhutDepartment of Psychiatry and Neuroscience, Charité - Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany.
Daniel FürstenauSchool of Business & Economics, Freie Universität Berlin, Berlin, Germany.
Markus BühnerDepartment of Psychology, LMU Munich, Munich, Germany.
Lukas JunkerDepartment of Psychology, LMU Munich, Munich, Germany.
Isabel MaurusDepartment for Psychiatry and Psychotherapy, LMU University Hospital, Munich, Germany.
Oliver PogarellDepartment for Psychiatry and Psychotherapy, LMU University Hospital, Munich, Germany.
Peter FalkaiDepartment for Psychiatry and Psychotherapy, LMU University Hospital, Munich, Germany.
Wolfgang StrubeDepartment of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, University of Augsburg, Augsburg, Germany.
Ingrid BauerDepartment of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, University of Augsburg, Augsburg, Germany.
Tobias Skuban-Eiselerkbo-Isar-Amper-Klinikum Region München, München-Haar, Germany.
Josef PrillerTechnical University of Munich, TUM School of Medicine and Health, Department of Psychiatry and Psychotherapy, TUM University Hospital, Munich, Germany.
Peter Briegerkbo-Isar-Amper-Klinikum Region München, München-Haar, Germany.
Stephan Hereskbo-Isar-Amper-Klinikum Region München, München-Haar, Germany.
Alkomiet HasanDZPG (German Center for Mental Health), partner site Munich/Augsburg, Munich, Germany.
Kerem BögeDepartment of Psychiatry and Neuroscience, Charité - Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany.
Stefan LeuchtTechnical University of Munich, TUM School of Medicine and Health, Department of Psychiatry and Psychotherapy, TUM University Hospital, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite 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.

methodsThis 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 registrationGerman Clinical Trials Register (ID: DRKS00034991; registration date: 30.08.2024).

Indexed as

InternetMobile ApplicationsPsychotic DisordersSchizophreniaSecondary PreventionSmartphoneAdultFemaleHumansMaleMulticenter Studies as TopicRandomized Controlled Trials as TopicRecurrenceTelemedicineAppDigital monitoringOutpatient treatmentRelapseSchizophreniaShared-decision making

Identifiers

PMID40828423
PMCPMC12953440

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.