ReviewInternational journal of bipolar disorders2018
Smartphone-based objective monitoring in bipolar disorder: status and considerations.
Review in International journal of bipolar disorders, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 7 of them syntheses that pooled 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.
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.
Who cites it
38 citing papers in PubMed, 7 syntheses or guidelines pooled it, 109 citations in OpenAlex.
- Automated Digital Interventions and Smoking Cessation: Systematic Review and Meta-analysis Relating Efficiency to a Psychological Theory of Intervention Perspective.Journal of medical Internet research · 2022Pooled 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
- Remote Monitoring Systems for Patients With Chronic Diseases in Primary Health Care: Systematic Review.JMIR mHealth and uHealth · 2021Pooled it
- Smartphone-Based Interventions and Internalizing Disorders in Youth: Systematic Review and Meta-analysis.Journal of medical Internet research · 2021Pooled it
- Digital biomarkers from geolocation data in bipolar disorder and schizophrenia: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2019Pooled it
- Methodological Challenges in Randomized Controlled Trials on Smartphone-Based Treatment in Psychiatry: Systematic Review.Journal of medical Internet research · 2019Pooled it
- Passive Sensing of Health Outcomes Through Smartphones: Systematic Review of Current Solutions and Possible Limitations.JMIR mHealth and uHealth · 2019Pooled it
- Mood states recognition based on Mandarin speech and deep learning in patients with bipolar disorder.BMC psychiatry · 2025Article
- Digital phenotyping in bipolar disorder: Using longitudinal Fitbit data and personalized machine learning to predict mood symptomatology.Acta psychiatrica Scandinavica · 2025Article
- Multimodal Digital Phenotyping Study in Patients With Major Depressive Episodes and Healthy Controls (Mobile Monitoring of Mood): Observational Longitudinal Study.JMIR mental health · 2025Observational
- Acceptability of Personal Sensing Among People With Alcohol Use Disorder: Observational Study.JMIR mHealth and uHealth · 2023Observational
- Speech as a promising biosignal in precision psychiatry.Neuroscience and biobehavioral reviews · 2023Review
- Detecting Mental Health Behaviors Using Mobile Interactions: Exploratory Study Focusing on Binge Eating.JMIR mental health · 2022Article
- Loneliness and Social Isolation Detection Using Passive Sensing Techniques: Scoping Review.JMIR mHealth and uHealth · 2022Article
- Mobile phone enabled mental health monitoring to enhance diagnosis for severity assessment of behaviours: a review.PeerJ. Computer science · 2022Article
- [Digitalized psychiatry : Critical considerations on a new paradigm].Der Nervenarzt · 2021Review
- Ecological Momentary Assessment of Bipolar Disorder Symptoms and Partner Affect: Longitudinal Pilot Study.JMIR formative research · 2021Article
- Clinical Utility of Wearable Sensors and Patient-Reported Surveys in Patients With Schizophrenia: Noninterventional, Observational Study.JMIR mental health · 2021Article
- Clinical Risk Constellations for the Development of Bipolar Disorders.Medicina (Kaunas, Lithuania) · 2021Review
- "How Come You Don't Call Me?" Smartphone Communication App Usage as an Indicator of Loneliness and Social Well-Being across the Adult Lifespan during the COVID-19 Pandemic.International journal of environmental research and public health · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In 2001, the WHO stated that: "The use of mobile and wireless technologies to support the achievement of health objectives (mHealth) has the potential to transform the face of health service delivery across the globe". Within mental health, interventions and monitoring systems for depression, anxiety, substance abuse, eating disorder, schizophrenia and bipolar disorder have been developed and used. The present paper presents the status and findings from studies using automatically generated objective smartphone data in the monitoring of bipolar disorder, and addresses considerations on the current literature and methodological as well as clinical aspects to consider in the future studies.
Identifiers
What OpenQuestion holds
Registered trials
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.