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Updated: May 7, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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Service Users' Views on Digital Remote Monitoring for Psychosis: Survey Study.

Xiaolong Zhang1, Emily Eisner1,2, Daniela Di Basilio1,3

  • 1Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, 1st Floor, Jean McFarlane Building, 176 Oxford Rd, Manchester, M13 9PY, United Kingdom, 44 1613060422.

JMIR Human Factors
|May 5, 2026
PubMed
Summary
This summary is machine-generated.

Digital remote monitoring for psychosis shows promise, but users are cautious about sharing personal data. Ensuring privacy and user choice is key for trust in mental health apps and wearables.

Keywords:
digital remote monitoringpassive sensingpsychosisservice usersmartphonewearable

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Area of Science:

  • Digital Health
  • Mental Health Technology
  • Psychosis Management

Background:

  • Digital remote monitoring via smartphones and wearables offers a promising approach for psychosis management.
  • Integrating active symptom monitoring (ASM) and passive sensing (PS) can enhance self-management through low-burden, remote monitoring.

Purpose of the Study:

  • To explore user perspectives on data collection using ASM and PS methods in mental health care.
  • To assess comfort levels with different data types collected via these digital tools.
  • To understand ownership and usage patterns of smartphones and wearable devices for mental health.

Main Methods:

  • A cross-sectional survey was conducted with 309 service users with psychosis in the UK.
  • Data were collected between March 2023 and March 2024.

Main Results:

  • Participants held mixed views on ASM and PS for mental health monitoring, with more endorsing than opposing.
  • Data type significantly influenced acceptability; personal information was less acceptable than physical/mental health or environmental data (P<.001).

Conclusions:

  • Users are generally comfortable with digital monitoring tools but express concerns regarding the privacy of personal data.
  • Addressing trust issues and providing end-user control over data collection and sharing are crucial for successful implementation.