开发一款名为 "MinDag "的应用程序,用于捕捉双相情感障碍的症状变化和疾病机制。

Frontiers in Medical Technology Pub Date : 2022-07-22 eCollection Date: 2022-01-01 DOI:10.3389/fmedt.2022.910533
Thomas D Bjella, Margrethe Collier Høegh, Stine Holmstul Olsen, Sofie R Aminoff, Elizabeth Barrett, Torill Ueland, Romain Icick, Ole A Andreassen, Mari Nerhus, Henrik Myhre Ihler, Marthe Hagen, Cecilie Busch-Christensen, Ingrid Melle, Trine Vik Lagerberg
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引用次数: 0

摘要

导言:双相情感障碍(BD)的病程具有高度异质性,同一 BD 亚型的患者之间以及患者内部随着时间的推移存在很大差异。这种异质性没有得到很好的界定,阻碍了更有针对性治疗的发展。此外,尽管与生活方式相关的行为被认为在病程中起着一定作用,但人们对这种机制还知之甚少。为了填补这些知识空白,我们开发了一款应用程序,用于收集有关 BD 相关症状和生活方式相关行为的多维纵向数据:挪威奥斯陆的挪威精神障碍研究中心开发了一款名为 MinDag 的应用程序。该应用程序的设计旨在对以下选定领域进行调查:情绪、睡眠、功能/活动(社交、职业、体育锻炼、休闲)、药物使用、情绪反应和精神病体验。在整个开发过程中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是高度优先考虑的问题。我们进行了测试和试点测试,以消除技术问题,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(早上的睡眠模块和晚上的情绪和功能/活动模块),另外三个模块每周展示一次(药物使用、情绪反应和精神病体验模块)。总的来说,MinDag 在测试和试点研究中都受到好评,参与者提供了宝贵的反馈意见,这些意见在最终的开发中都得到了考虑。MinDag 现已作为研究方案的一部分,在挪威 NORMENT 中心和奥斯陆大学医院的 BD 专科治疗病房中使用:我们相信,MinDag 将产生独特的纵向数据,非常适合捕捉 BD 的异质性,并澄清重要的未决问题,如与生活方式相关的行为可能如何影响 BD 症状。此外,从 MinDag 开发过程中获得的经验和知识可能有助于提高心理健康数字工具的安全性、可接受性和益处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Developing "MinDag" - an app to capture symptom variation and illness mechanisms in bipolar disorder.

Developing "MinDag" - an app to capture symptom variation and illness mechanisms in bipolar disorder.

Developing "MinDag" - an app to capture symptom variation and illness mechanisms in bipolar disorder.

Developing "MinDag" - an app to capture symptom variation and illness mechanisms in bipolar disorder.

Introduction: 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.

Methods: 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.

Results: 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.

Discussion: 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.

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