Evidence map›Paper›PMID 40720826›Full record

Trial reportJournal of medical Internet research2025

Usage of an App-Based Addiction Prevention Program for German Vocational Students: Secondary Analysis of Data From a Cluster Randomized Controlled Trial.

Diana Guertler, Anne Möhring, Dominic Bläsing, Christian Meyer, Hannah Schmidt, Florian Rehbein, Merten Neumann, Arne Dreißigacker, Anja Bischof, Gallus Bischof and 6 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2025. 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

16 authors.

Diana GuertlerDZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany.ORCID http://orcid.org/0000-0002-2533-5347
Anne MöhringDZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany.ORCID http://orcid.org/0000-0002-5063-0479
Dominic BläsingHelmholtz Institute for One Health, Greifswald, Germany.ORCID http://orcid.org/0000-0003-0326-8574
Christian MeyerDZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany.ORCID http://orcid.org/0000-0003-4722-7109
Hannah SchmidtDepartment of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany.ORCID http://orcid.org/0000-0002-9393-5862
Florian RehbeinDepartment of Social Work, FH (Fachhochschule) Münster University of Applied Sciences, Münster, Germany.ORCID http://orcid.org/0009-0007-2330-0937
Merten NeumannCriminological Research Institute of Lower Saxony (KFN), Hannover, Germany.ORCID http://orcid.org/0000-0003-2761-4152
Arne DreißigackerCriminological Research Institute of Lower Saxony (KFN), Hannover, Germany.ORCID http://orcid.org/0000-0003-4393-0171
Anja BischofDepartment of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany.ORCID http://orcid.org/0000-0003-3176-3329
Gallus BischofDepartment of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany.ORCID http://orcid.org/0000-0003-0432-5497
Svenja SürigDepartment of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany.ORCID http://orcid.org/0000-0001-7006-5502
Lisa HohlsDepartment of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany.ORCID http://orcid.org/0009-0008-6091-2374
Susanne WurmDepartment of Prevention Research and Social Medicine, Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.ORCID http://orcid.org/0000-0001-6924-8299
Stefan BorgwardtDepartment of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany.ORCID http://orcid.org/0000-0002-5792-3987
Severin HaugSwiss Research Institute for Public Health and Addiction, University of Zürich, Zürich, Germany.ORCID http://orcid.org/0000-0002-6539-5045
Hans-Jürgen RumpfDepartment of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany.ORCID http://orcid.org/0000-0001-6848-920X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital interventions have been successfully used to address addictive behaviors in adolescents and young adults. However, maintaining consistent usage remains a challenge. There is limited evidence on the determinants of usage with multiple behavioral interventions among vocational students. Objective: This paper aims to describe how vocational school students used the app-based addiction prevention program "ready4life" and to analyze student characteristics as potential determinants of intervention usage. Methods: A 2-arm cluster randomized trial evaluated "ready4life" among German vocational students aged ≥16 years. After downloading the app during class, students completed an anonymous screening and received individual risks and competencies feedback. Intervention participants (n=1286) received 4 months of individual app-based coaching, with weekly chat contacts with a conversational agent. They were asked to choose 2 of 6 modules: alcohol, tobacco, cannabis, social media and gaming, stress, and social competencies that were delivered sequentially in a random order. In addition to the weekly chats, users could self-initiate chat dialogues at any time. Chats included media (videos, images, or links), quizzes, and contests. Control participants (n=1282) received a link to health behavior information and could access coaching after 12 months. Results: Usage was low among intervention participants who received their assigned intervention (n=1266; females n=569, 44.9%; mean age 19.53, SD 3.57 years). On average, participants started 4.8 (SD 5.1) and completed 4.3 (SD 5.2) of 16 weekly in-app chats. Most students (n=903, 71.3%) completed no self-initiated chats, and 50.2% (n=636) stopped using the app before week 3. Unadjusted negative binomial multilevel regression models showed that females completed significantly more weekly dialogues (P<.001; incidence rate ratio [IRR] 1.55, 95% CI 1.33-1.80), while fewer were completed by individuals with higher self-efficacy (P=.04; IRR 0.96, 95% CI 0.93-0.998), higher social competencies (P<.001; IRR 0.97, 95% CI 0.95-0.98), and individuals engaging in more addictive behaviors (P<.001; IRR 0.87, 95% CI 0.82-0.93). Concerning specific educational tracks, professionals, technicians, associate professionals, and vocational grammar school students had the highest number of completed weekly dialogues. Determinants of completed self-initiated chats and usage time largely aligned with the findings for weekly dialogues. Additionally, those with higher perceived stress completed significantly more self-initiated chats (P<.001; IRR 1.19, 95% CI 1.08-1.31). Age and year of education were not significantly associated with any of the usage parameters. Conclusions: Our study supports the existing evidence that maintaining consistent usage among adolescents and young adults is a major challenge for digital interventions. An important finding was that students with higher needs for support in terms of self-efficacy, social competence, and perceived stress showed higher intervention usage. In terms of health equity, additional efforts should be made to increase intervention usage among males, those with lower levels of education, and those with higher levels of addictive behaviors.

Indexed as

Behavior, AddictiveMobile ApplicationsStudentsAdolescentFemaleGermanyHumansMaleVocational EducationYoung Adultcomputer-tailoringeHealthmobile phonemultiple addictive behaviorsusagevocational students

Identifiers

PMID40720826
PMCPMC12303402

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.