ArticlePilot and feasibility studies2025
Pilot study of an app-supported psychosocial prevention intervention: a mixed-methods approach.
Article in Pilot and feasibility studies, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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.
Who cites it
3 citing papers in PubMed.
- Digital focus groups in healthcare interventions: A reflexive methodological analysis of how socio-technical and relational factors co-produce qualitative data.BMC medical research methodology · 2026Article
- Measuring eHealth Literacy in the European Economic Area, Switzerland, and the United Kingdom: Scoping Review.Journal of medical Internet research · 2026Article
- Using normalization process theory to evaluate the implementation of a hybrid psychosocial prevention intervention in mental health care - a qualitative interview study.BMC health services research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundWork-related health issues, particularly those affecting mental health, are increasing, leading to significant costs for health systems and impacting individuals' ability to work. Preventive interventions using digital health applications promise to mitigate these issues by promoting mental well-being and reducing risk factors.
objectiveThe study aimed to pilot the new prevention intervention "RV Fit Mental Health" which combines an intensive inpatient phase with an app-supported digital outpatient phase. The primary objectives were to understand the target group, evaluate the acceptability and feasibility of the intervention, and identify areas for optimization based on participant feedback.
methodsA mixed-methods approach was employed, combining qualitative and quantitative data. Qualitative data were gathered from 18 participants through focus groups. Quantitative data were collected from 21 participants using various validated instruments, including the Work Ability Index (WAI), World Health Organization Quality of Life-BREF (WHOQOL-BREF), Depression Anxiety Stress Scale-21 (DASS-21), and eHealth Literacy scales. Data analysis was conducted using descriptive statistics and content analysis.
resultsQualitative results highlighted the acceptability of the intervention and identified several challenges, including the transition between the different phases of the intervention and the diversity of participants' backgrounds and health conditions. Participants appreciated the holistic approach of combining an inpatient and app-supported outpatient phase but suggested further adjustments to enhance usability and integration into daily life. Quantitative findings indicated a heterogeneous group of participants.
conclusionsThe "RV Fit Mental Health" intervention shows promise for addressing work-related mental health issues. The initial results of the pilot study indicate feasibility and good acceptance of the intervention. However, further refinement and a larger-scale evaluation are necessary to confirm its efficacy and optimize its implementation. If successful, this approach could strengthen participation in working life and reduce mental health-related work incapacity.
trial registrationDRKS-ID: DRKS000308188 ( https://drks.de/search/de/trial/DRKS00030818 ).
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Registered trials
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 Socratic graph.