The MinDag app for symptom monitoring and feedback to patients and clinicians during the initial treatment of bipolar disorder - a feasibility study

MinDag应用程序用于在双相情感障碍初始治疗期间对患者和临床医生进行症状监测和反馈——一项可行性研究

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Abstract

BACKGROUND: The app "MinDag" (MyDay) was developed as a tool for monitoring mood, symptoms and illness-relevant behaviour in the initial treatment of bipolar disorder. Digital self-monitoring may provide patients and clinicians with valuable data for tailoring treatment interventions. This study aims to evaluate the practical use and clinical implications of integrating MinDag in the early treatment of bipolar disorder from the perspectives of both patients and clinicians. METHODS: The MinDag app includes six content modules covering mood, sleep, functioning/activities, substance use, emotional reactivity, and psychotic symptoms. Patients were asked to use the app for six months, and automated feedback based on the app registrations was delivered to the patients' clinicians biweekly. The study involved quantitative evaluations completed by patients (n = 20), as well as interviews with patients (n = 7) and clinicians (n = 2). RESULTS: Overall, the patients reported that they felt that MinDag was safe, relevant and easy to use, although technical difficulties such as too many automated reminders and need for reinstallations were reported. The patients appreciated the potential for increased awareness of their mental health, but expressed a desire for direct access to their data. Clinicians found the visual reports and feedback useful for tailoring treatment, even though the alert system for high-risk variables needed refinement. The quantitative evaluations indicated a positive general reception, with suggestions for improvement in usability and accessibility. CONCLUSION: The MinDag app shows promise as a tool for enhancing the treatment of bipolar disorder by facilitating self-monitoring and providing actionable data to clinicians. However, technical issues and the need for direct patient access to data must be addressed. Development of digital tools to support the treatment of bipolar disorder and other mental health conditions is resource demanding, and there is a need to clarify criteria to establish proof of concept to guide the selection of tools for upscaling and implementation.

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