Capturing behavioral indicators of persecutory ideation using mobile technology. Academic Article uri icon

Overview

abstract

  • Most existing measures of persecutory ideation (PI) rely on infrequent in-person visits, and this limits their ability to assess rapid changes or real-world functioning. Mobile health (mHealth) technology may address these limitations. Little is known about passively sensed behavioral indicators associated with PI. In the current study, sixty-two participants with schizophrenia spectrum disorders completed momentary assessments of PI on a smartphone that also passively collected behavioral data for one year. Results suggested that PI was prevalent (n = 50, 82% of sample) but had infrequent incidence (25.2% of EMA responses). PI was also associated with changes in several passively sensed variables, including decreases in distance traveled (Mkilometers = -1.20, SD = 18.88), time spent in a vehicle (Mminutes = -4.15, SD = 49.59), length of outgoing phone calls (Mminutes = -0.79, SD = 13.13), time spent proximal to human speech (Mminutes = -6.26, SD = 153.03), and an increase in time sitting still (Mminutes = 4.04, SD = 94.69). The present study suggests changes associated with PI may be detectable by passive sensors, including reductions in moving or traveling, and time spent around others or in self-initiated phone conversations. These constructs might constitute risk for PI.

publication date

  • June 10, 2019

Research

keywords

  • Ecological Momentary Assessment
  • Mobile Applications
  • Paranoid Disorders
  • Psychotic Disorders
  • Smartphone
  • Telemedicine

Identity

PubMed Central ID

  • PMC6650264

Scopus Document Identifier

  • 85067359030

Digital Object Identifier (DOI)

  • 10.1037/0021-843X.86.2.103

PubMed ID

  • 31226579

Additional Document Info

volume

  • 116