Bjella Thomas D, Collier Høegh Margrethe, Holmstul Olsen Stine, Aminoff Sofie R, Barrett Elizabeth, Ueland Torill, Icick Romain, Andreassen Ole A, Nerhus Mari, Myhre Ihler Henrik, Hagen Marthe, Busch-Christensen Cecilie, Melle Ingrid, Lagerberg Trine Vik
NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Early Intervention in Psychosis Advisory Unit for South East Norway, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
Front Med Technol. 2022 Jul 22;4:910533. doi: 10.3389/fmedt.2022.910533. eCollection 2022.
The illness course of bipolar disorder (BD) is highly heterogeneous with substantial variation between individuals with the same BD subtype and within individuals over time. This heterogeneity is not well-delineated and hampers the development of more targeted treatment. Furthermore, although lifestyle-related behaviors are believed to play a role in the illness course, such mechanisms are poorly understood. To address some of these knowledge gaps, we aimed to develop an app for collection of multi-dimensional longitudinal data on BD-relevant symptoms and lifestyle-related behaviors.
An app named MinDag was developed at the Norwegian Center for Mental Disorders Research in Oslo, Norway. The app was designed to tap into selected areas: mood, sleep, functioning/activities (social, occupational, physical exercise, leisure), substance use, emotional reactivity, and psychotic experiences. Ethical, security and usability issues were highly prioritized throughout the development and for the final app solution. We conducted beta- and pilot testing to eliminate technical problems and enhance usability and acceptability.
The final version of MinDag comprises six modules; three which are presented for the user once daily (the Sleep module in the morning and the Mood and Functoning/Activities modules in the evening) and three which are presented once weekly (Substance Use, Emotional Reactivity, and Psychotic Experiences modules). In general, MinDag was well received in both in the beta-testing and the pilot study, and the participants provided valuable feedback that was taken into account in the final development. MinDag is now in use as part of the research protocol at the NORMENT center and in a specialized treatment unit for BD at Oslo University Hospital in Norway.
We believe that MinDag will generate unique longitudinal data well suited for capturing the heterogeneity of BD and clarifying important unresolved issues such as how life-style related behavior may influence BD symptoms. Also, the experiences and knowledge derived from the development of MinDag may contribute to improving the security, acceptability, and benefit of digital tools in mental health.
双相情感障碍(BD)的病程具有高度异质性,同一BD亚型的个体之间以及个体随时间推移均存在显著差异。这种异质性尚未得到很好的界定,阻碍了更具针对性治疗方法的开发。此外,尽管与生活方式相关的行为被认为在病程中起作用,但此类机制却知之甚少。为了填补这些知识空白,我们旨在开发一款应用程序,用于收集与BD相关症状和生活方式相关行为的多维度纵向数据。
一款名为MinDag的应用程序由挪威奥斯陆的挪威精神障碍研究中心开发。该应用程序旨在涉及选定领域:情绪、睡眠、功能/活动(社交、职业、体育锻炼、休闲)、物质使用、情绪反应和精神病体验。在整个开发过程以及最终的应用程序解决方案中,道德、安全和可用性问题都被高度重视。我们进行了测试版和试点测试,以消除技术问题并提高可用性和可接受性。
MinDag的最终版本包括六个模块;其中三个模块每天向用户展示一次(早上的睡眠模块以及晚上的情绪和功能/活动模块),另外三个模块每周展示一次(物质使用、情绪反应和精神病体验模块)。总体而言,MinDag在测试版测试和试点研究中都受到了好评,参与者提供了宝贵的反馈,这些反馈在最终开发中得到了考虑。MinDag现在作为NORMENT中心研究方案的一部分以及挪威奥斯陆大学医院BD专科治疗单元的一部分投入使用。
我们认为MinDag将生成独特的纵向数据,非常适合捕捉BD的异质性,并阐明重要的未解决问题,例如与生活方式相关的行为如何影响BD症状。此外,从MinDag开发中获得的经验和知识可能有助于提高数字工具在心理健康方面的安全性、可接受性和益处。