Evidence map›Paper›PMID 34851456›Full record

ArticleInternational journal of bipolar disorders2021

How to make online mood-monitoring in bipolar patients a success? A qualitative exploration of requirements.

B Geerling, S M Kelders, R W Kupka, A W M M Stevens, E T Bohlmeijer

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Article in International journal of bipolar disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

B GeerlingDimence Mental Health Institute, Centre for Bipolar Disorder, SCBS Bipolaire Stoonissen, Pikeursbaan 3, 7411 GT, Deventer, The Netherlands. b.geerling@dimence.nl.ORCID http://orcid.org/0000-0001-6809-7222
S M KeldersDepartment of Psychology, Health and Technology, Centre for eHealth and Wellbeing Research, University of Twente, Enschede, The Netherlands.
R W KupkaDepartment Psychiatry, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
A W M M StevensDimence Mental Health Institute, Centre for Bipolar Disorder, SCBS Bipolaire Stoonissen, Pikeursbaan 3, 7411 GT, Deventer, The Netherlands.
E T BohlmeijerDepartment of Psychology, Health and Technology, Centre for eHealth and Wellbeing Research, University of Twente, Enschede, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

methodsThe 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.

resultsThe 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.

conclusionsThis 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.

Indexed as

Bipolar disorderDigitalFocus-groupLife ChartMonitoring

Identifiers

PMID34851456
PMCPMC8636552

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.