Mood Monitoring, Mood Tracking, and Ambulatory Assessment Interventions in Depression and Bipolar Disorder: Systematic Review and Meta-Analysis of Randomized Controlled Trials
Astill Wright, Laurence Shajan, Georgina Purewal, Daljit Stone, Jonathan Majid, Madiha Guo, Boliang Morriss, Richard
Astill Wright, Laurence
Shajan, Georgina
Purewal, Daljit
Stone, Jonathan
Majid, Madiha
Guo, Boliang
Morriss, Richard
Affiliation
University of Nottingham; University of Bristol; Avon and Wiltshire Mental Health Partnership NHS Trust; Coventry and Warwickshire Partnership NHS Trust;
Other Contributors
Publication date
2026-01
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Collections
Research Projects
Organizational Units
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Abstract
Background: Mood monitoring is widely used by people with depression and bipolar disorder (BD) to prevent relapse and improve insight into their condition, but it is unclear if these interventions have an impact on symptoms and for whom. As the capacity for passive mood monitoring increases, it is vital to improve our understanding of frequent mood assessment.
Objective: This systematic review and meta-analysis assessed the effect of mood monitoring interventions in people with depression and BD to decrease relapse risk and symptoms of depression and mania.
Methods: We conducted a systematic review and meta-analysis (PROSPERO, International Prospective Register of Systematic Reviews: CRD42023396473) and reported results according to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) guidelines. Randomized controlled trials with clinically important follow-up periods were identified via multiple database searches and rated for risk of bias using the Cochrane Risk of Bias tool. The primary outcomes were symptoms of depression and mania. Available data were pooled to calculate standardized mean differences (SMDs) for the primary outcomes: severity of depression, bipolar depression, and mania/hypomania.
Results: We included 8 trials of 1230 participants and 6 different mood monitoring protocols. In BD, meta-analysis found a small but not statistically significant effect of mood monitoring interventions on decreasing mania symptoms (6 comparisons, n=873; SMD 0.16, 95% CI-0.34 to 0.01; P=.06) and no effect on bipolar depression (6 comparisons, n=873; SMD -0.08, 95% CI -0.31 to 0.15; P=.02). In depression, we found a small effect in decreasing symptoms of depression of borderline statistical significance at 12 months (2 comparisons, n=262; SMD -0.25, 95% CI -0.49 to 0.00; P=.05) but not at 6 months (2 comparisons, n=268; SMD -0.21, 95% CI -0.54 to 0.12; P=.21). There was an absence of evidence on the effect of mood monitoring on decreased relapse rates or readmission rates. Studies had a low risk of bias. There was no evidence on mood monitoring through ecological momentary assessment.
Conclusions: Overall mood monitoring interventions do not increase or decrease mood symptoms in people with BD, nor is there robust evidence of such effects in people with unipolar depression. Further research is merited on different forms of mood monitoring and to determine under what circumstances mood monitoring might have beneficial or adverse effects. These results initially suggest that ambulatory assessment does not induce large placebo effects or significantly negatively or positively affect mood, and thus that mood monitoring may be an appropriate outcome measure for research or for clinical practice.
Citation
Astill Wright L, Shajan G, Purewal D, Stone J, Majid M, Guo B, Morriss R. Mood Monitoring, Mood Tracking, and Ambulatory Assessment Interventions in Depression and Bipolar Disorder: Systematic Review and Meta-Analysis of Randomized Controlled Trials. JMIR Ment Health. 2026 Jan 7;13:e84020. doi: 10.2196/84020. PMID: 41499681; PMCID: PMC12779106.
Type
Article