Evidence map›Paper›PMID 40460419›Full record

ArticleJMIR research protocols2025

Personalizing mHealth Interventions for Occupational Stress: Protocol for a Randomized Pilot Study.

Beatrix Kunas, Oliver Jung, Christoph Schranz, Mathias Schmoigl-Tonis, Manuela Ploessnig, Anton-Rupert Laireiter

Abstract readClinical Trial Protocol
In one paragraph

Article in JMIR research protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. Review
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

6 authors.

Beatrix KunasDepartment of Psychology, Paris-Lodron University Salzburg, Salzburg, Austria.ORCID 0009-0005-6408-7154
Oliver JungSalzburg Research Forschungsgesellschaft mbH, Salzburg, Austria.ORCID 0009-0002-6012-5182
Christoph SchranzSalzburg Research Forschungsgesellschaft mbH, Salzburg, Austria.ORCID 0000-0002-5786-7807
Mathias Schmoigl-TonisSalzburg Research Forschungsgesellschaft mbH, Salzburg, Austria.ORCID 0009-0002-8672-5768
Manuela PloessnigIndependent Researcher, .ORCID 0009-0002-2459-3392
Anton-Rupert LaireiterDepartment of Psychology, Paris-Lodron University Salzburg, Salzburg, Austria.ORCID 0000-0001-6038-6775

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOccupational stress is associated with detrimental consequences that are addressed by mobile health (mHealth) solutions. Previous developments of apps for occupational stress have not yet fully exploited the potential of multilevel diagnostics through the integration of wearable sensors for interventions. Personalizing mHealth approaches in terms of intervention time and content, which requires the use of artificial intelligence, is the next logical developmental step. The "Relax" approach developed a corresponding prototype of an app-wearable system, which will be evaluated for effectiveness in terms of stress reduction and usability.

objectiveThis study protocol describes an evaluation study used to test the effectiveness and usability of the Relax approach.

methodsThe evaluation study was designed as a 2-arm randomized trial with 2 phases, each with a 3-week intervention period. In both phases, employees were required to use the app to record daily stress and to wear a wearable sensor to measure heart rate variability. The app offered interventions based on algorithms, which altered the probability of their selection after learning from the data, thereby personalizing the user experience. In the second phase of the study, the sample was divided into 2 groups, varying the degree of personalization of the app. To analyze effectiveness, a 2-factorial mixed within-between design will be applied to compare the outcomes between both groups as well as in a pre-post comparison. In addition, exploratory analyses of the usability of the approach are planned.

resultsThe study was conducted during the spring and summer of 2024, with a total of 46 participants enrolled, and is ready for data analysis.

conclusionsThe Relax approach, including a number of factors related to personalization that have not yet been incorporated into mHealth in current research, will provide new insights into the next steps of advanced mHealth solutions. Limitations of the study design, such as the lack of a control group and the sample representativity, have to be addressed.

trial registrationOpen Science Foundation 10.17605/OSF.IO/MYRD9; https://osf.io/myrd9. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/68012.

Indexed as

Occupational StressTelemedicineAdultFemaleHumansMaleMobile ApplicationsPilot ProjectsRandomized Controlled Trials as TopicWearable Electronic Devicesartificial intelligencejust-in-time adaptive interventionmHealthmultilevel diagnosticsoccupational stresspersonalized apps

Identifiers

PMID40460419
PMCPMC12174872

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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.