Chair of Social Determinants of Health, TUM School of Medicine and Health, Department Health and Sport Sciences, Technical University of Munich, Munich, Germany
Chair of Social Determinants of Health, TUM School of Medicine and Health, Department Health and Sport Sciences, Technical University of Munich, Munich, Germany.
BMJ Open. 2024 Feb 17;14(2):e081390. doi: 10.1136/bmjopen-2023-081390.
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.
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.
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.
DRKS00030818 and DRKS00033080.
许多欧洲国家的精神障碍导致工作能力丧失的比例有所增加。持续的压力会影响个人的身心健康，并逐渐发展为慢性压力。精神障碍或倦怠综合征的症状可能会产生严重后果。导致工作能力丧失的精神障碍给卫生系统带来了沉重负担。预防干预措施可以预防倦怠、抑郁、焦虑和其他心理健康障碍。数字健康是增加有效预防干预措施利用率的一种很有前途的方法。这项混合方法研究评估了一种新开发的、基于应用程序的心理社会预防干预措施，称为“RV Fit Mental Health”，以加强参与工作生活。
该研究采用三阶段平行混合方法设计。该研究伴随着新干预措施的开发（第 1 阶段）、试点（第 2 阶段）和评估（第 3 阶段）。在各个阶段，都有定量和定性的研究部分。将纳入有初期精神障碍的就业人员。此外，还将纳入项目内或相关领域的专家。将使用多因素方差分析在预-后设计中对定量数据进行分析。定性数据将使用定性内容分析进行分析。该研究是一种综合研究方法，旨在调查一种基于应用程序的支持心理社会的基于应用程序的预防干预措施的开发、试点和评估。通过数据三角化来实现研究的严谨性。
所有参与者在数据收集前都将收到详细的研究信息，并签署书面知情同意书。慕尼黑工业大学伦理委员会已批准该研究。所有数据收集都将遵循有关数据保护的所有立法规定，也将遵循《赫尔辛基宣言》。研究结果将在同行评议的期刊上发表，并在国际会议上展示。
DRKS00030818 和 DRKS00033080。
