Evidence map›Paper›PMID 40300160›Full record

ArticleJMIR mHealth and uHealth2025

Health-Promoting Effects and Everyday Experiences With a Mental Health App Using Ecological Momentary Assessments and AI-Based Ecological Momentary Interventions Among Young People: Qualitative Interview and Focus Group Study.

Selina Hiller, Christian Götzl, Christian Rauschenberg, Janik Fechtelpeter, Georgia Koppe, Eva Wierzba, Julia Sauter, Sina Dietrich, Daniel Durstewitz, Ulrich Reininghaus and 1 more

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

11 authors.

Selina HillerDepartment of Psychiatry II, University of Ulm and BKH Guenzburg, Guenzburg, Germany.ORCID 0000-0003-0041-7722
Christian GötzlDepartment of Psychiatry II, University of Ulm and BKH Guenzburg, Guenzburg, Germany.ORCID 0000-0003-1557-3525
Christian RauschenbergDepartment of Public Mental Health, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.ORCID 0000-0002-6050-3297
Janik FechtelpeterInterdisciplinary Center for Scientific Computing, Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany.ORCID 0000-0003-4424-1685
Georgia KoppeInterdisciplinary Center for Scientific Computing, Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany.ORCID 0000-0003-2941-9238
Eva WierzbaDepartment of Public Mental Health, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.ORCID 0009-0008-4642-7954
Julia SauterDepartment of Psychiatry II, University of Ulm and BKH Guenzburg, Guenzburg, Germany.ORCID 0009-0003-4415-9371
Sina DietrichDepartment of Psychiatry II, University of Ulm and BKH Guenzburg, Guenzburg, Germany.ORCID 0009-0006-9337-6307
Daniel DurstewitzInterdisciplinary Center for Scientific Computing, Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany.ORCID 0000-0002-9340-3786
Ulrich ReininghausDepartment of Public Mental Health, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.ORCID 0000-0002-9227-5436
Silvia KrummDepartment of Psychiatry II, University of Ulm and BKH Guenzburg, Guenzburg, Germany.ORCID 0000-0002-5263-8212

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConsidering the high prevalence of mental health conditions among young people and the technological advancements of artificial intelligence (AI)-based approaches in health services, mobile health (mHealth) apps for mental health are a promising way for low-threshold and large-scale mental health promotion, prevention, and intervention strategies, especially for young people. However, insufficient evidence on health-promoting effects and deficient user-centric designs emphasize the necessity for participatory methods in the interventions' development processes.

objectiveThis study aimed to explore young people's everyday experiences using an AI-based mHealth app for mental health promotion based on ecological momentary assessments and ecological momentary interventions. Our analysis of qualitative data focused on exploring young people's use patterns in daily life and mental health-promoting effects.

methodsWe conducted problem-centered interviews and focus groups with a subsample of 27 young people aged 14 to 25 years, who were among the participants of 2 microrandomized trials testing and evaluating an AI-based mHealth app (AI4U training). Our study used a participatory approach, with "co- and peer researchers" from the dialogue population actively engaged in research processes and data analysis. Structural content analysis guided the qualitative analysis.

resultsParticipants reported enhanced emotional self-awareness and regulation in daily life through the ecological momentary assessments and ecological momentary interventions. Young people appreciated the AI4U training for managing emotions and stress. They had no trust issues regarding disclosing their mental health via the AI4U training in daily life. Some faced challenges integrating it into their daily routines and highlighted the value of autonomy in use decision-making processes.

conclusionsOur findings reveal that young people benefited from enhanced emotional awareness and management through the use of the AI4U training, appreciating its anonymity for facilitating emotional disclosure. The results suggest that enhanced self-directed use may improve daily life integration, although participants noted that they sometimes avoided using the AI4U training during distress despite recognizing its potential benefits. These findings indicate the importance of balancing directed use and autonomy in digital interventions to harmonize compliance with effectiveness in daily life. We highlight the importance of participatory research for tailored digital mental health solutions.

Indexed as

Artificial IntelligenceEcological Momentary AssessmentHealth PromotionMobile ApplicationsAdolescentAdultFemaleFocus GroupsHumansInterviews as TopicMaleMental HealthQualitative ResearchYoung Adultadolescentartificial intelligencecocreationdigital healthdigital interventiondigital trainingecological momentary assessmentecological momentary interventionfocus groupinterviewjust-in-time adaptive interventionmental health promotionmHealthmobile health appparticipatory approachparticipatory research methodsself-awarenessuser experiencesyoung peopleyouth

Identifiers

PMID40300160
PMCPMC12076033

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.