Observational studyBMC psychiatry2015
Validation of life-charts documented with the personal life-chart app - a self-monitoring tool for bipolar disorder.
Observational study in BMC psychiatry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 4 of them syntheses that pooled it.
What it found
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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.
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Who cites it
18 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Adverse Events of Mood Monitoring and Ambulatory Assessment in Depression and Bipolar Disorder: Systematic Review and Meta-Analysis.JMIR mental health · 2025Pooled it
- Smartphone-based interventions in bipolar disorder: Systematic review and meta-analyses of efficacy. A position paper from the International Society for Bipolar Disorders (ISBD) Big Data Task Force.Bipolar disorders · 2022Pooled it
- Systematic Review of Symptom Assessment Measures for Use in Measurement-Based Care of Bipolar Disorders.Psychiatric services (Washington, D.C.) · 2019Pooled it
- Electronic self-monitoring of mood using IT platforms in adult patients with bipolar disorder: A systematic review of the validity and evidence.BMC psychiatry · 2016Pooled it
- Mood Monitoring Over One Year for People With Chronic Obstructive Pulmonary Disease Using a Mobile Health System: Retrospective Analysis of a Randomized Controlled Trial.JMIR mHealth and uHealth · 2019Trial
- Differential impact of manic versus depressive episode recurrence on longitudinal gray matter volume changes in bipolar disorder.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Article
- Performance of active and passive ambulatory assessment measures and mood monitoring in bipolar disorder: a systematic review.International journal of bipolar disorders · 2026Review
- National Institute of Mental Health Life Chart Method - Self/Prospective (NIMH-LCM-S/P™): translation and adaptation to Brazilian Portuguese.Trends in psychiatry and psychotherapy · 2022Article
- Process and Outcome Evaluations of Smartphone Apps for Bipolar Disorder: Scoping Review.Journal of medical Internet research · 2022Article
- The Extent of User Involvement in the Design of Self-tracking Technology for Bipolar Disorder: Literature Review.JMIR mental health · 2021Review
- Recommendations for the use of long-term experience sampling in bipolar disorder care: a qualitative study of patient and clinician experiences.International journal of bipolar disorders · 2020Article
- Development of an Emotion-Sensitive mHealth Approach for Mood-State Recognition in Bipolar Disorder.JMIR mental health · 2020Article
- Daily estimates of clinical severity of symptoms in bipolar disorder from smartphone-based self-assessments.Translational psychiatry · 2020Article
- Methods and Measures Used to Evaluate Patient-Operated Mobile Health Interventions: Scoping Literature Review.JMIR mHealth and uHealth · 2020Article
- Clinical Insight Into Latent Variables of Psychiatric Questionnaires for Mood Symptom Self-Assessment.JMIR mental health · 2017Article
- How Do People Experiencing Schizophrenia Spectrum Disorders or Other Psychotic Disorders Use the Internet to Get Information on Their Mental Health? Literature Review and Recommendations.JMIR mental health · 2017Article
- Big data for bipolar disorder.International journal of bipolar disorders · 2016Review
- Daily longitudinal self-monitoring of mood variability in bipolar disorder and borderline personality disorder.Journal of affective disorders · 2016Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLong-term monitoring in bipolar affective disorders constitutes an important therapeutic and preventive method. The present study examines the validity of the Personal Life-Chart App (PLC App), in both German and in English. This App is based on the National Institute of Mental Health's Life-Chart Method, the de facto standard for long-term monitoring in the treatment of bipolar disorders.
methodsMethods have largely been replicated from 2 previous Life-Chart studies. The participants documented Life-Charts with the PLC App on a daily basis. Clinicians assessed manic and depressive symptoms in clinical interviews using the Inventory of Depressive Symptomatology, clinician-rated (IDS-C) and the Young Mania Rating Scale (YMRS) on a monthly basis on average. Spearman correlations of the total scores of IDS-C and YMRS were calculated with both the Life-Chart functional impairment rating and mood rating documented with the PLC App. 44 subjects used the PLC App in German and 10 subjects used the PLC App in English. 118 clinical interviews from the German sub-sample and 97 from the English sub-sample were analysed separately.
resultsThe results in both sub-samples are similar to previous Life-Chart validation studies. Again statistically significant high correlations were found between the Life-Chart function rating assigned through the PLC App and well-established observer-rated methods. Again correlations were weaker for the Life-Chart mood rating than for the Life-Chart function impairment. No relevant correlation was found between the Life-chart mood rating and YMRS in the German sub-sample.
conclusionThis study gives further evidence for the validity of the Life-Chart method as a valid tool for the recognition of both manic and depressive episodes. Documenting Life-Charts with the PLC App (English and German) does not seem to impair the validity of patient ratings.
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