ArticleFrontiers in psychiatry2019
Smartphones and Wearables as a Method for Understanding Symptom Mechanisms.
Article in Frontiers in psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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
13 citing papers in PubMed.
- Personalized Insights Derived from Wearable Device Data and Large Language Models to Improve Well-Being.medRxiv : the preprint server for health sciences · 2026Article
- Mental health monitoring in 5G Edge-Enabled Cognitive IoT with Temporal Shift Transformer and integrated Stackelberg Game Theory and Nomadic People Optimizer.Scientific reports · 2025Article
- Utility of Digital Phenotyping Based on Wrist Wearables and Smartphones in Psychosis: Observational Study.JMIR mHealth and uHealth · 2025Observational
- Longitudinal single-subject neuroimaging study reveals effects of daily environmental, physiological, and lifestyle factors on functional brain connectivity.PLoS biology · 2024Article
- Characterizing Longitudinal Patterns in Cognition, Mood, And Activity in Depression With 6-Week High-Frequency Wearable Assessment: Observational Study.JMIR mental health · 2024Observational
- A Serious Game for Patients With Eating Disorders (Maze Out): Pilot User Experience and Acceptance Study.JMIR formative research · 2023Article
- A commentary on the potential of smartphones and other wearable devices to be used in the identification and monitoring of mental illness.Annals of translational medicine · 2022Article
- Real-world behavioral dataset from two fully remote smartphone-based randomized clinical trials for depression.Scientific data · 2022Article
- Detecting Mental Health Behaviors Using Mobile Interactions: Exploratory Study Focusing on Binge Eating.JMIR mental health · 2022Article
- Digital Phenotyping in Livestock Farming.Animals : an open access journal from MDPI · 2021Review
- Article
- Mobile Sensing Apps and Self-management of Mental Health During the COVID-19 Pandemic: Web-Based Survey.JMIR formative research · 2021Article
- Prediction of viral symptoms using wearable technology and artificial intelligence: A pilot study in healthcare workers.PloS one · 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
While psychological treatments have been shown to be effective in treating psychiatric disorders, the mechanism of their therapeutic effect is less well understood. An improved mechanistic understanding of psychiatric disorders and their treatments would enable refinement of existing interventions, and more targeted intervention and the development of new treatments. A major limitation in understanding the mechanism of effect in psychological treatments has been the challenge of capturing what happens outside of the clinical setting. The development of new digital technologies such as smartphones and wearables enables much more inter-session data to be collected. The rapid evolution of smartphones and wearable technologies, combined with the ubiquity of mobile networks means that is possible for patients to provide regular, longitudinal, and high-resolution data. This allows a previously inaccessible and untapped stream of a specific patient's behaviours, moods, activities, and thoughts to be quantified. Monitoring through such technologies may be of therapeutic value, improving self-awareness and promoting mentalization. Smartphones and wearable technologies can also be used to delivered therapies remotely. Digital technologies enable new insights to be gained into the lived experience of mental disorder enabling current treatments to be refined and personalised, as well as generating new targets for future treatment development. In this article we discuss how such technologies are improving our understanding of psychiatric disorder, informing psychological treatments before considering the future potential of such technologies. We will also consider the challenges and ethical concerns of such approaches.
Indexed as
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.