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Related Experiment Video

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ReMind, a smartphone application for psychotic relapse prediction: A longitudinal study protocol.

Christy Lai-Ming Hui1, Bertha Sze-Ting Lam1, Andreas Kar-Hin Wong1

  • 1Department of Psychiatry, University of Hong Kong, Hong Kong.

Early Intervention in Psychiatry
|December 28, 2020
PubMed
Summary

The ReMind app monitors psychosis relapse predictors, including cognitive and social factors. Early detection of these signs can improve patient outcomes and relapse prevention strategies.

Keywords:
appmhealthpsychosisrelapsesmartphone

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Area of Science:

  • Psychiatry
  • Neuroscience
  • Digital Health

Background:

  • Psychotic disorders have high relapse rates, influenced by medication non-adherence, psychosocial factors, and cognitive impairments.
  • Early warning signs of relapse are often missed in clinical settings.
  • The ReMind app is designed for enhanced relapse monitoring and prediction.

Purpose of the Study:

  • To determine if working memory predicts psychosis relapse within one year.
  • To assess the predictive value of social factors (stressful life events, expressed emotion, medication adherence) on psychosis relapse.
  • To validate the ReMind app for psychosis relapse prediction.

Main Methods:

  • A one-year prospective follow-up study with 176 remitted schizophrenia or non-affective psychosis patients.
  • Monthly assessments using the ReMind app, including neurocognitive tasks and psychosocial questionnaires.
  • Ongoing recruitment since August 2017.

Main Results:

  • Preliminary user feedback indicates a positive experience with the ReMind app.
  • Recruitment is ongoing, with data collection for relapse prediction underway.

Conclusions:

  • The ReMind app shows promise for identifying reliable psychosis relapse predictors.
  • It may offer a novel method for monitoring relapse, particularly for Chinese-speaking populations.