ArticlePharmacopsychiatry2023
Longitudinal Digital Mood Charting in Bipolar Disorder: Experiences with ChronoRecord Over 20 Years.
Article in Pharmacopsychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Dropout, Attrition, Adherence, and Compliance in Mood Monitoring and Ambulatory Assessment Studies for Depression and Bipolar Disorder: Systematic Review and Meta-Analysis.JMIR mental health · 2026Pooled it
- Establishing a Specialty Bipolar Clinic: The National Network of Depression Centers Consensus Recommendations.Bipolar disorders · 2026Review
- Sleep fluctuations precede self-reported mood changes in bipolar disorder: results from the BipoSense study.International journal of bipolar disorders · 2026Article
- Validation and Extension of a Risk Calculator to Predict Mood Recurrence in Young People with Bipolar Disorder.medRxiv : the preprint server for health sciences · 2026Article
- Performance of active and passive ambulatory assessment measures and mood monitoring in bipolar disorder: a systematic review.International journal of bipolar disorders · 2026Review
- Investigating behavioral inertia in passively sensed smartphone parameters to differentiate affective episodes in patients with bipolar disorder.Neuroscience applied · 2026Article
- Effect of psychopharmacological combinations on psychopathological symptom burden and BMI trajectories in patients with eating disorders.Frontiers in psychiatry · 2026Article
- Circadian rhythm parameters differentiate euthymic, manic and depressive mood states in bipolar disorders - an explorative pilot study.International journal of bipolar disorders · 2025Article
- Can Sleep Parameters Predict Upcoming Mood Episodes in Bipolar Disorder?Bipolar disorders · 2025Article
- Improving the Utility, Safety, and Ethical Use of a Passive Mood-Tracking App for People With Bipolar Disorder Using Coproduction: Qualitative Focus Group Study.JMIR formative research · 2025Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionLongitudinal study is an essential methodology for understanding disease trajectories, treatment effects, symptom changes, and long-term outcomes of affective disorders. Daily self-charting of mood and other illness-related variables is a commonly recommended intervention. With the widespread acceptance of home computers in the early 2000s, automated tools were developed for patient mood charting, such as ChronoRecord, a software validated by patients with bipolar disorder. The purpose of this study was to summarize the daily mood, sleep, and medication data collected with ChronoRecord, and highlight some of the key research findings. Lessons learned from implementing a computerized tool for patient self-reporting are also discussed.
methodsAfter a brief training session, ChronoRecord software for daily mood charting was installed on a home computer and used by 609 patients with affective disorders.
resultsThe mean age of the patients was 40.3±11.8 years, a mean age of onset was 22±11.2 years, and 71.4% were female. Patients were euthymic for 70.8% of days, 15.1% had mild depression, 6.6% had severe depression, 6.6% had hypomania, and 0.8% had mania. Among all mood groups, 22.4% took 1-2 medications, 37.2% took 3-4 medications, 25.7 took 5-6 medications, 11.6% took 7-8 medications, and 3.1% took >8 medications.
conclusionThe daily mood charting tool is a useful tool for increasing patient involvement in their care, providing detailed patient data to the physician, and increasing understanding of the course of illness. Longitudinal data from patient mood charting was helpful in both clinical and research settings.
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