Evidence map›Paper›PMID 41105870›Full record

SynthesisJournal of medical Internet research2025

The User Experience of Ambulatory Assessment and Mood Monitoring in Bipolar Disorder: Systematic Review and Meta-Synthesis of Qualitative Studies.

Laurence Astill Wright, Madiha Majid, Matthew Moore, Goldie Momoh, Renee Patil, Georgina Shajan, Daljit Purewal, Shireen Patel, Richard Morriss

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 5 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

7 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Review
  7. Article
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

9 authors.

Laurence Astill WrightInstitute of Mental Health, University of Nottingham, Jubilee Campus, University of Nottingham Innovation Park, Triumph Road, Nottingham, NG7 2TU, United Kingdom, 44 0115 823 1294.ORCID http://orcid.org/0000-0001-8324-1229
Madiha MajidInstitute of Mental Health, University of Nottingham, Jubilee Campus, University of Nottingham Innovation Park, Triumph Road, Nottingham, NG7 2TU, United Kingdom, 44 0115 823 1294.ORCID http://orcid.org/0000-0003-4954-7798
Matthew MooreNIHR MindTech Medical Technology Collaborative, University of Nottingham, Nottingham, United Kingdom.ORCID http://orcid.org/0000-0002-0774-7743
Goldie MomohInstitute of Mental Health, University of Nottingham, Jubilee Campus, University of Nottingham Innovation Park, Triumph Road, Nottingham, NG7 2TU, United Kingdom, 44 0115 823 1294.ORCID http://orcid.org/0000-0002-7606-2932
Renee PatilInstitute of Mental Health, University of Nottingham, Jubilee Campus, University of Nottingham Innovation Park, Triumph Road, Nottingham, NG7 2TU, United Kingdom, 44 0115 823 1294.ORCID http://orcid.org/0009-0004-8650-4054
Georgina ShajanInstitute of Mental Health, University of Nottingham, Jubilee Campus, University of Nottingham Innovation Park, Triumph Road, Nottingham, NG7 2TU, United Kingdom, 44 0115 823 1294.ORCID http://orcid.org/0009-0005-3812-6148
Daljit PurewalInstitute of Mental Health, University of Nottingham, Jubilee Campus, University of Nottingham Innovation Park, Triumph Road, Nottingham, NG7 2TU, United Kingdom, 44 0115 823 1294.ORCID http://orcid.org/0009-0006-9862-6598
Shireen PatelInstitute of Mental Health, University of Nottingham, Jubilee Campus, University of Nottingham Innovation Park, Triumph Road, Nottingham, NG7 2TU, United Kingdom, 44 0115 823 1294.ORCID http://orcid.org/0000-0002-5537-0717
Richard MorrissInstitute of Mental Health, University of Nottingham, Jubilee Campus, University of Nottingham Innovation Park, Triumph Road, Nottingham, NG7 2TU, United Kingdom, 44 0115 823 1294.ORCID http://orcid.org/0000-0003-2910-4121

Funding

Wellcome Trust
6 · The paper itself

Abstract

Background: Mood monitoring and ambulatory assessment hold promise for supporting self-management and data collection in bipolar disorder (BD), but the effectiveness of these depends crucially on the preferences and perspectives of those who use them. To date, these user experiences have not been systematically synthesized. Objective: This study aimed to explore and synthesize qualitative evidence on the user experience of mood monitoring and ambulatory assessment in BD, with a focus on identifying barriers and facilitators for both individuals with BD and clinicians, as well as the intended purposes of these tools. Methods: We conducted a systematic review and meta-synthesis of qualitative and mixed-methods studies reporting on ambulatory assessment and mood monitoring in BD (PROSPERO CRD42023396473). A total of 8 electronic databases were searched. Studies were appraised using established criteria for qualitative research. First- and second-order constructs were extracted, and a third-order synthesis was developed using the Noblit and Hare meta-ethnographic approach. Results: A total of 20 studies comprising 2365 participants met inclusion criteria. We identified 9 overarching themes: adverse effects, barriers to use, facilitators to use, perceived purpose, sharing with others (positive and negative), clinician concerns, clinician suggestions, and desired features. Users reported both benefits and harms. Some experienced increased insight, behavioral change, and relapse prevention skills, while others reported emotional burden, repetitive content, and worsened mood or anxiety. Preferences varied widely, but a strong, consistent emphasis was placed on personalization, including the ability to control what is tracked, when and how it is shared, and the level of engagement with health care providers. Passive data collection was often seen as less intrusive and more sustainable. Sharing data was sometimes seen as empowering, especially when it enabled communication with trusted individuals or clinicians, but also raised concerns around autonomy, misinterpretation, and privacy. Clinicians echoed many user views but raised additional concerns about liability and interpretability of data. Participants also highlighted the need for onboarding or support to aid comprehension and effective use. Conclusions: This review highlights the complexity and diversity of user experiences with ambulatory assessment and mood monitoring in BD. While many found these tools valuable for fostering insight, self-management, and relapse prevention, others found them burdensome or confronting. User engagement appears closely tied to perceived control, relevance, and personal fit. These findings underscore the need for flexible, user-centered design in future interventions. Customizability should be prioritized-including what is monitored, how feedback is delivered, and whether data is shared externally. Incorporating onboarding and adaptive feedback could help users better understand and apply their data to better self-manage. By aligning interventions more closely with user preferences and lived experience, ambulatory assessment and mood monitoring protocols may achieve greater uptake, engagement, and ultimately, a more effective intervention.

Indexed as

AffectBipolar DisorderMonitoring, AmbulatoryHumansQualitative Researchambulatory assessmentbipolarbipolar disorderdepressionecological momentary assessmentEMAmood-monitoringmood-trackingself-monitoring

Identifiers

PMID41105870
PMCPMC12533931

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.