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Toi Même, a Mobile Health Platform for Measuring Bipolar Illness Activity: Protocol for a Feasibility Study.

Aroldo A Dargél1,2,3, Elise Mosconi3, Marc Masson4

  • 1Perception and Memory Unit, Neuroscience Department, Pasteur Institute, Paris, France.

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|July 9, 2020
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Summary

This study explores using the Toi Même app to correlate smartphone data with mood symptoms in bipolar disorder patients. Findings will inform digital phenotyping for improved diagnosis and management of bipolar disorder.

Keywords:
affective responsebig data, machine learningbipolar disordercognitive speeddigital phenotyping, smartphone appecological momentary assessmentmHealthmood instability

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Area of Science:

  • Psychiatry and Digital Health
  • Neuroscience and Behavioral Science

Background:

  • Bipolar disorder diagnosis and management lack objective biomarkers.
  • Mood instability during remission signifies active illness, increasing relapse risk.
  • Digital phenotyping offers potential for objective mood assessment.

Purpose of the Study:

  • To investigate correlations between clinically rated mood symptoms and app-derived data in bipolar disorder patients.
  • To assess the feasibility of the Toi Même app for self-monitoring mood and behavior.
  • To explore digital phenotyping for improved bipolar disorder management.

Main Methods:

  • Open-label, nonrandomized trial enrolling 93 adults with bipolar disorder type I/II.
  • Utilized the Toi Même app for ecological momentary assessment, gamified cognitive/affective tests, and motion sensor data.
  • Clinical evaluations by psychiatrists at baseline and follow-up points over 3 months.

Main Results:

  • Study recruitment initiated in April 2018, with 25 participants enrolled by April 2019.
  • First results anticipated for publication in 2020.
  • The study is funded by the Pasteur Institute and received ethical approval in April 2018.

Conclusions:

  • Results will support integrated approaches for bipolar disorder management using digital phenotyping.
  • Further research is needed to validate smartphone data for longitudinal mood pattern analysis.
  • Prospective studies should establish the reliability and cost-effectiveness of app-based interventions for bipolar disorder.