@article{ref1,
title="Use of multimodal technology to identify digital correlates of violence among inpatients with serious mental illness: a pilot study",
journal="Psychiatric services",
year="2017",
author="Ben-Zeev, Dror and Scherer, Emily A. and Brian, Rachel M. and Mistler, Lisa A. and Campbell, Andrew T. and Wang, Rui",
volume="68",
number="10",
pages="1088-1092",
abstract="OBJECTIVE: The study examined multimodal technologies to identify correlates of violence among inpatients with serious mental illness. <br><br>METHODS: Twenty-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. <br><br>RESULTS: Self-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). <br><br>CONCLUSIONS: Identifiable digital correlates may serve as indicators of increased risk of violence.<p /> <p>Language: en</p>",
language="en",
issn="1075-2730",
doi="10.1176/appi.ps.201700077",
url="http://dx.doi.org/10.1176/appi.ps.201700077"
}