ReviewCurrent psychiatry reports2014
New measures of mental state and behavior based on data collected from sensors, smartphones, and the Internet.
Review in Current psychiatry reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 3 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
51 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Technological State of the Art of Electronic Mental Health Interventions for Major Depressive Disorder: Systematic Literature Review.Journal of medical Internet research · 2020Pooled it
- IoT-Based Services and Applications for Mental Health in the Literature.Journal of medical systems · 2018Pooled it
- Smartphone-Based Monitoring of Objective and Subjective Data in Affective Disorders: Where Are We and Where Are We Going? Systematic Review.Journal of medical Internet research · 2017Pooled it
- Real-time cognitive performance metrics derived from a digital therapeutic for inattention predict ADHD-related clinical outcomes: Replication across three independent trials of AKL-T01.Translational psychiatry · 2024Trial
- Refining smart healthcare care for mental health and substance use disorders: A patient-centred, evidence-based approach.World journal of psychiatry · 2025Article
- An Observational Pilot Study using a Digital Phenotyping Approach in Patients with Major Depressive Disorder Treated with Trazodone.Frontiers in psychiatry · 2023Article
- Smartphone accelerometer data as a proxy for clinical data in modeling of bipolar disorder symptom trajectory.NPJ digital medicine · 2022Article
- Ethical and Legal Aspects of Technology-Assisted Care in Neurodegenerative Disease.Journal of personalized medicine · 2022Article
- Article
- Estimating longitudinal depressive symptoms from smartphone data in a transdiagnostic cohort.Brain and behavior · 2022Article
- A Mobile Sensing App to Monitor Youth Mental Health: Observational Pilot Study.JMIR mHealth and uHealth · 2021Observational
- Ecological Momentary Assessment of Bipolar Disorder Symptoms and Partner Affect: Longitudinal Pilot Study.JMIR formative research · 2021Article
- Internet of things issues related to psychiatry.International journal of bipolar disorders · 2021Review
- The opportunities and challenges of machine learning in the acute care setting for precision prevention of posttraumatic stress sequelae.Experimental neurology · 2021Review
- Internet of Things for Mental Health: Open Issues in Data Acquisition, Self-Organization, Service Level Agreement, and Identity Management.International journal of environmental research and public health · 2021Review
- Article
- Artificial Intelligence and Health Technology Assessment: Anticipating a New Level of Complexity.Journal of medical Internet research · 2020Article
- Early Detection of Mild Cognitive Impairment With In-Home Sensors to Monitor Behavior Patterns in Community-Dwelling Senior Citizens in Singapore: Cross-Sectional Feasibility Study.Journal of medical Internet research · 2020Article
- A Mobile Technology for Collecting Patient-Reported Physical Activity and Distress Outcomes: Cross-Sectional Cohort Study.JMIR mHealth and uHealth · 2020Article
- Smartphones in mental health: a critical review of background issues, current status and future concerns.International journal of bipolar disorders · 2020Review
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
With the rapid and ubiquitous acceptance of new technologies, algorithms will be used to estimate new measures of mental state and behavior based on digital data. The algorithms will analyze data collected from sensors in smartphones and wearable technology, and data collected from Internet and smartphone usage and activities. In the future, new medical measures that assist with the screening, diagnosis, and monitoring of psychiatric disorders will be available despite unresolved reliability, usability, and privacy issues. At the same time, similar non-medical commercial measures of mental state are being developed primarily for targeted advertising. There are societal and ethical implications related to the use of these measures of mental state and behavior for both medical and non-medical purposes.
Indexed as
Identifiers
25308392What 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.