Cargando…
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...
Autores principales: | , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1784763179229773824 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9354925 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT bjellathomasd developingmindaganapptocapturesymptomvariationandillnessmechanismsinbipolardisorder AT collierhøeghmargrethe developingmindaganapptocapturesymptomvariationandillnessmechanismsinbipolardisorder AT holmstulolsenstine developingmindaganapptocapturesymptomvariationandillnessmechanismsinbipolardisorder AT aminoffsofier developingmindaganapptocapturesymptomvariationandillnessmechanismsinbipolardisorder AT barrettelizabeth developingmindaganapptocapturesymptomvariationandillnessmechanismsinbipolardisorder AT uelandtorill developingmindaganapptocapturesymptomvariationandillnessmechanismsinbipolardisorder AT icickromain developingmindaganapptocapturesymptomvariationandillnessmechanismsinbipolardisorder AT andreassenolea developingmindaganapptocapturesymptomvariationandillnessmechanismsinbipolardisorder AT nerhusmari developingmindaganapptocapturesymptomvariationandillnessmechanismsinbipolardisorder AT myhreihlerhenrik developingmindaganapptocapturesymptomvariationandillnessmechanismsinbipolardisorder AT hagenmarthe developingmindaganapptocapturesymptomvariationandillnessmechanismsinbipolardisorder AT buschchristensencecilie developingmindaganapptocapturesymptomvariationandillnessmechanismsinbipolardisorder AT melleingrid developingmindaganapptocapturesymptomvariationandillnessmechanismsinbipolardisorder AT lagerbergtrinevik developingmindaganapptocapturesymptomvariationandillnessmechanismsinbipolardisorder |