ArticlePsychiatric services (Washington, D.C.)2017
Use of Multimodal Technology to Identify Digital Correlates of Violence Among Inpatients With Serious Mental Illness: A Pilot Study.
Article in Psychiatric services (Washington, D.C.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 8 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
22 citing papers in PubMed, 8 syntheses or guidelines pooled it.
- Digital phenotyping for mental health conditions: a systematic review of implementation and application.Frontiers in digital health · 2026Pooled it
- Sensing Apps and Public Data Sets for Digital Phenotyping of Mental Health: Systematic Review.Journal of medical Internet research · 2022Pooled it
- Don't Miss the Moment: A Systematic Review of Ecological Momentary Assessment in Suicide Research.Frontiers in digital health · 2022Pooled it
- Use of Ecological Momentary Assessment to Study Suicidal Thoughts and Behavior: a Systematic Review.Current psychiatry reports · 2021Pooled it
- Patients' Health & Well-Being in Inpatient Mental Health-Care Facilities: A Systematic Review.Frontiers in psychiatry · 2021Pooled it
- Aggression on the psychiatric ward: Prevalence and risk factors. A systematic review of the literature.PloS one · 2021Pooled it
- Pooled it
- Digital biomarkers from geolocation data in bipolar disorder and schizophrenia: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2019Pooled it
- Machine Learning Analysis to Identify Digital Behavioral Phenotypes for Engagement and Health Outcome Efficacy of an mHealth Intervention for Obesity: Randomized Controlled Trial.Journal of medical Internet research · 2021Trial
- Digital tools for assessing bipolar disorder: A scoping review of the current landscape.Neuroscience applied · 2026Article
- Passive sensing of anhedonia and amotivation in a transdiagnostic sample.Journal of psychopathology and clinical science · 2025Article
- Acute suicidal ideation in context: highlighting sentiment-based markers through the diary entries of a clinically depressed sample.BMC psychiatry · 2025Article
- Zipper Pattern: An Investigation into Psychotic Criminal Detection Using EEG Signals.Diagnostics (Basel, Switzerland) · 2025Article
- Effectiveness of Artificial Intelligence Methods in Personalized Aggression Risk Prediction within Inpatient Psychiatric Treatment Settings-A Systematic Review.Journal of personalized medicine · 2022Review
- Ecological momentary assessment of mental health in adults at suicide risk: An observational study protocol.Journal of advanced nursing · 2022Article
- Feasibility and acceptability of experience sampling among LGBTQ+ young people with self-harmful thoughts and behaviours.Frontiers in psychiatry · 2022Article
- Wearable, Environmental, and Smartphone-Based Passive Sensing for Mental Health Monitoring.Frontiers in digital health · 2021Review
- Time from the Admission as the Predictor of Aggressive Behavior of Inpatients with Schizophrenia Spectrum Disorder.The Psychiatric quarterly · 2020Article
- Precision Medicine and Suicide: an Opportunity for Digital Health.Current psychiatry reports · 2019Review
- Trashing Property: Characteristics of Psychiatric Patients Who Engage in Domestic Property Damaging.Community mental health journal · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
objectiveThe study examined multimodal technologies to identify correlates of violence among inpatients with serious mental illness.
methodsTwenty-eight high-risk inpatients were provided with smartphones adapted for data collection. Participants recorded their thoughts and behaviors by using self-report software. Sensors embedded in each device (microphone and accelerometers) and throughout the inpatient unit (Bluetooth beacons) captured patients' activity and location.
resultsSelf-reported delusions were associated with violent ideation (odds ratio [OR]=3.08), damaging property (OR=8.24), and physical aggression (OR=12.39). Alcohol and cigarette cravings were associated with violent ideation (OR=5.20 and OR=6.08, respectively), damaging property (OR=3.71 and OR=4.26, respectively), threatening others (OR=3.62 and OR=3.04, respectively), and physical aggression (OR=6.26, and OR=8.02, respectively). Drug cravings were associated with violent ideation (OR=2.76) and damaging property (OR=5.09). Decreased variability in physical activity and noisy ward conditions were associated with violent ideation (OR=.71 and OR=2.82, respectively).
conclusionsIdentifiable digital correlates may serve as indicators of increased risk of violence.
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.