| Autor: |
Matthias Richter, Laura Hoffmann, Frank Gabel, Johannes Stephan, Jan Gehrmann, Ananda Stullich, Olaf Ballaschke, Sylvia Berlin, Florian Finke, Anastasia Grossmann, Claudia Gruhner, Kathleen Kaminski, Andreas Seemann |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
BMJ Open, Vol 14, Iss 2 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2044-6055 |
| DOI: |
10.1136/bmjopen-2023-081390 |
| Popis: |
Introduction Rates of incapacity to work due to mental disorders have increased in many European countries. The consequences of persistent stress can impact individuals’ physical and psychological well-being and gradually develop into chronic stress. Mental disorders or symptoms of burn-out syndrome can have severe consequences. Mental disorders leading to work incapacity significantly burden the health system. Prevention interventions can protect against burn-out, depression, anxiety and other mental health disorders. Digital health is a promising approach to increase the utilisation of effective prevention interventions. This mixed-methods study evaluates a newly developed app-supported psychosocial prevention intervention called ‘RV Fit Mental Health’ to strengthen participation in working life.Methods and analysis The study uses a three-stage parallel mixed-methods design. This study accompanies the development (stage 1), piloting (stage 2) and evaluation (stage 3) of the new intervention. Within the stages, there is a quantitative as well as a qualitative research strand. Employed persons with an incipient mental disorder will be included. Additionally, experts within the project or connected areas will be included. Quantitative data will be analysed using multifactorial variance analyses in a pre–post design. Qualitative data will be analysed using qualitative content analysis. The study is a comprehensive research approach to investigate the development, piloting and evaluation of an app-supported psychosocial app-based prevention intervention. The rigour of the study will be achieved through data triangulation.Ethics and dissemination All participants will receive detailed study information and give written informed consent before data collection. Ethical approval was obtained from the Technical University of Munich Ethics Committee. All data collection will follow all legislative rules regarding data protection, also following the Declaration of Helsinki. The study results will be disseminated in peer-reviewed journals and presented at international conferences.Trial registration numbers DRKS00030818 and DRKS00033080. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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