Objective: The study examined multimodal technologies to identify correlates of violence among inpatients with serious mental illness. 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. 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 andOR=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 noisyward conditions were associated with violent ideation (OR=.71 and OR=2.82, respectively). Conclusions: Identifiable digital correlates may serve as indicators of increased risk of violence.
CITATION STYLE
Ben-Zeev, D., Scherer, E. A., Brian, R. M., Mistler, L. A., Campbell, A. T., & Wang, R. (2017). Use of multimodal technology to identify digital correlates of violence among inpatients with serious mental illness: A pilot study. Psychiatric Services, 68(10), 1088–1092. https://doi.org/10.1176/appi.ps.201700077
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