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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, a...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9354925/
https://www.ncbi.nlm.nih.gov/pubmed/35935144
http://dx.doi.org/10.3389/fmedt.2022.910533
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author 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
author_facet 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
author_sort Bjella, Thomas D.
collection PubMed
description 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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spelling pubmed-93549252022-08-06 Developing “MinDag” – an app to capture symptom variation and illness mechanisms in bipolar disorder 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 Front Med Technol Medical Technology 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. Frontiers Media S.A. 2022-07-22 /pmc/articles/PMC9354925/ /pubmed/35935144 http://dx.doi.org/10.3389/fmedt.2022.910533 Text en Copyright © 2022 Bjella, Collier Høegh, Holmstul Olsen, Aminoff, Barrett, Ueland, Icick, Andreassen, Nerhus, Myhre Ihler, Hagen, Busch-Christensen, Melle and Lagerberg. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medical Technology
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
Developing “MinDag” – an app to capture symptom variation and illness mechanisms in bipolar disorder
title Developing “MinDag” – an app to capture symptom variation and illness mechanisms in bipolar disorder
title_full Developing “MinDag” – an app to capture symptom variation and illness mechanisms in bipolar disorder
title_fullStr Developing “MinDag” – an app to capture symptom variation and illness mechanisms in bipolar disorder
title_full_unstemmed Developing “MinDag” – an app to capture symptom variation and illness mechanisms in bipolar disorder
title_short Developing “MinDag” – an app to capture symptom variation and illness mechanisms in bipolar disorder
title_sort developing “mindag” – an app to capture symptom variation and illness mechanisms in bipolar disorder
topic Medical Technology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9354925/
https://www.ncbi.nlm.nih.gov/pubmed/35935144
http://dx.doi.org/10.3389/fmedt.2022.910533
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