How to make online mood-monitoring in bipolar patients a success? A qualitative exploration of requirements
Abstract Background The Life-Chart Method (LCM) is an effective self-management treatment option in bipolar disorder (BD). There is insufficient knowledge about the consumers’ needs and desires for an e-monitoring solution. The first step towards a new mood monitoring application is an extended inve...
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2021
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oai:doaj.org-article:58b92a91310c4a3e8516c3e5a1676afe2021-12-05T12:09:53ZHow to make online mood-monitoring in bipolar patients a success? A qualitative exploration of requirements10.1186/s40345-021-00244-22194-7511https://doaj.org/article/58b92a91310c4a3e8516c3e5a1676afe2021-12-01T00:00:00Zhttps://doi.org/10.1186/s40345-021-00244-2https://doaj.org/toc/2194-7511Abstract Background The Life-Chart Method (LCM) is an effective self-management treatment option in bipolar disorder (BD). There is insufficient knowledge about the consumers’ needs and desires for an e-monitoring solution. The first step towards a new mood monitoring application is an extended inventory among consumers and professionals. Methods The aim of the current study was: to identify opinions about online mood monitoring of patients with BD and professionals and to identify preferences on design, technical features and options facilitating optimal use and implementation of online mood monitoring. This study used a qualitative design with focus-groups. Participants were recruited among patients and care providers. Three focus-groups were held with eight consumers and five professionals. Results The focus-group meetings reveal a shared consciousness of the importance of using the Life-Chart Method for online mood monitoring. There is a need for personalization, adjustability, a strict privacy concept, an adjustable graphic report, and a link to early intervention strategies in the design. Due to the fact that this is a qualitative study with a relative small number of participants, so it remains unclear whether the results are fully generalizable. We can’t rule out a selection bias. Conclusions This study demonstrates the importance of involving stakeholders in identifying a smartphone-based mood charting applications’ requirements. Personalization, adjustability, privacy, an adjustable graphic report, and a direct link to early intervention strategies are necessary requirements for a successful design. The results of this value specification are included in the follow-up of this project.B. GeerlingS. M. KeldersR. W. KupkaA. W. M. M. StevensE. T. BohlmeijerSpringerOpenarticleBipolar disorderMonitoringFocus-groupDigitalLife ChartNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571Neurophysiology and neuropsychologyQP351-495ENInternational Journal of Bipolar Disorders, Vol 9, Iss 1, Pp 1-10 (2021) |
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Bipolar disorder Monitoring Focus-group Digital Life Chart Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurophysiology and neuropsychology QP351-495 |
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Bipolar disorder Monitoring Focus-group Digital Life Chart Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurophysiology and neuropsychology QP351-495 B. Geerling S. M. Kelders R. W. Kupka A. W. M. M. Stevens E. T. Bohlmeijer How to make online mood-monitoring in bipolar patients a success? A qualitative exploration of requirements |
description |
Abstract Background The Life-Chart Method (LCM) is an effective self-management treatment option in bipolar disorder (BD). There is insufficient knowledge about the consumers’ needs and desires for an e-monitoring solution. The first step towards a new mood monitoring application is an extended inventory among consumers and professionals. Methods The aim of the current study was: to identify opinions about online mood monitoring of patients with BD and professionals and to identify preferences on design, technical features and options facilitating optimal use and implementation of online mood monitoring. This study used a qualitative design with focus-groups. Participants were recruited among patients and care providers. Three focus-groups were held with eight consumers and five professionals. Results The focus-group meetings reveal a shared consciousness of the importance of using the Life-Chart Method for online mood monitoring. There is a need for personalization, adjustability, a strict privacy concept, an adjustable graphic report, and a link to early intervention strategies in the design. Due to the fact that this is a qualitative study with a relative small number of participants, so it remains unclear whether the results are fully generalizable. We can’t rule out a selection bias. Conclusions This study demonstrates the importance of involving stakeholders in identifying a smartphone-based mood charting applications’ requirements. Personalization, adjustability, privacy, an adjustable graphic report, and a direct link to early intervention strategies are necessary requirements for a successful design. The results of this value specification are included in the follow-up of this project. |
format |
article |
author |
B. Geerling S. M. Kelders R. W. Kupka A. W. M. M. Stevens E. T. Bohlmeijer |
author_facet |
B. Geerling S. M. Kelders R. W. Kupka A. W. M. M. Stevens E. T. Bohlmeijer |
author_sort |
B. Geerling |
title |
How to make online mood-monitoring in bipolar patients a success? A qualitative exploration of requirements |
title_short |
How to make online mood-monitoring in bipolar patients a success? A qualitative exploration of requirements |
title_full |
How to make online mood-monitoring in bipolar patients a success? A qualitative exploration of requirements |
title_fullStr |
How to make online mood-monitoring in bipolar patients a success? A qualitative exploration of requirements |
title_full_unstemmed |
How to make online mood-monitoring in bipolar patients a success? A qualitative exploration of requirements |
title_sort |
how to make online mood-monitoring in bipolar patients a success? a qualitative exploration of requirements |
publisher |
SpringerOpen |
publishDate |
2021 |
url |
https://doaj.org/article/58b92a91310c4a3e8516c3e5a1676afe |
work_keys_str_mv |
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