Evidence map›Paper›PMID 42800797›Full record

Trial reportTranslational psychiatry2026

A machine learning-based ecological momentary intervention for mental health promotion in youth: a micro-randomized trial.

Christian Rauschenberg, Frederike Schirmbeck, Janik Fechtelpeter, Eva Wierzba, Selina Hiller, Katharina Kahr, Anna Kessler, Lale Hornbacher, Christian Goetzl, Anita Schick and 4 more

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Translational psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Christian RauschenbergDepartment of Public Mental Health, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.ORCID http://orcid.org/0000-0002-6050-3297
Frederike SchirmbeckDepartment of Public Mental Health, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Janik FechtelpeterDepartment of Theoretical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Eva WierzbaDepartment of Public Mental Health, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Selina HillerTechnical University of Munich, School of Medicine and Health, Department of Psychiatry and Psychotherapy, TUM University Hospital, Munich, Germany.ORCID http://orcid.org/0000-0003-0041-7722
Katharina KahrDepartment of Public Mental Health, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Anna KesslerDepartment of Public Mental Health, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.ORCID http://orcid.org/0009-0000-8756-8210
Lale HornbacherDepartment of Public Mental Health, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Christian GoetzlDepartment of Forensic Psychiatry and Psychotherapy, University of Ulm and BKH Guenzburg, Ulm, Germany.ORCID http://orcid.org/0000-0003-1557-3525
Anita SchickDepartment of Public Mental Health, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Daniel DurstewitzGerman Center for Mental Health (DZPG), partner site Mannheim-Heidelberg-Ulm, Mannheim, Germany.ORCID http://orcid.org/0000-0002-9340-3786
Silvia KrummDepartment of Psychiatry and Psychotherapy, University of Leipzig Medical Center (ULMC), Medical Faculty, University of Leipzig, Leipzig, Germany.
Georgia Koppe *Department of Theoretical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Ulrich Reininghaus *Department of Public Mental Health, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany. ulrich.reininghaus@zi-mannheim.de.ORCID http://orcid.org/0000-0002-9227-5436

Funding

Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg (Ministry of Science, Research and Art Baden-Württemberg) 31-7547.223-7/3/2
6 · The paper itself

Abstract

Ecological Momentary Interventions (EMIs) using machine learning (ML)-based assignment algorithms may improve mental health outcomes by delivering more person-tailored content, but evidence is pending. The study aimed to determine whether ML-based assignment of EMI components augments effects on momentary mental health outcomes when compared to random assignment in youth from the general population and psychological counselling services. A within-subject micro-randomized trial was conducted. Participants were randomly assigned up to seven times daily (1:1 ratio; up to 210 decision points) to either an ML-based (experimental condition) or a random (active control condition) assignment of EMI components. Proximal outcomes were time-lagged changes in positive affect, momentary resilience, and negative affect at t

Indexed as

Ecological Momentary AssessmentHealth PromotionMachine LearningMental HealthAdolescentEmotional RegulationFeasibility StudiesFemaleHumansMalePsychological DistressResilience, Psychological

Identifiers

PMID42800797

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.