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Toi Même, a Mobile Health Platform for Measuring Bipolar Illness Activity: Protocol for a Feasibility Study
BACKGROUND: The diagnosis and management of bipolar disorder are limited by the absence of available biomarkers. Patients with bipolar disorder frequently present with mood instability even during remission, which is likely associated with the risk of relapse, impaired functioning, and suicidal beha...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7463390/ https://www.ncbi.nlm.nih.gov/pubmed/32638703 http://dx.doi.org/10.2196/18818 |
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author | Dargél, Aroldo A Mosconi, Elise Masson, Marc Plaze, Marion Taieb, Fabien Von Platen, Cassandra Buivan, Tan Phuc Pouleriguen, Guillaume Sanchez, Marie Fournier, Stéphane Lledo, Pierre-Marie Henry, Chantal |
author_facet | Dargél, Aroldo A Mosconi, Elise Masson, Marc Plaze, Marion Taieb, Fabien Von Platen, Cassandra Buivan, Tan Phuc Pouleriguen, Guillaume Sanchez, Marie Fournier, Stéphane Lledo, Pierre-Marie Henry, Chantal |
author_sort | Dargél, Aroldo A |
collection | PubMed |
description | BACKGROUND: The diagnosis and management of bipolar disorder are limited by the absence of available biomarkers. Patients with bipolar disorder frequently present with mood instability even during remission, which is likely associated with the risk of relapse, impaired functioning, and suicidal behavior, indicating that the illness is active. OBJECTIVE: This research protocol aimed to investigate the correlations between clinically rated mood symptoms and mood/behavioral data automatically collected using the Toi Même app in patients with bipolar disorder presenting with different mood episodes. This study also aimed to assess the feasibility of this app for self-monitoring subjective and objective mood/behavior parameters in those patients. METHODS: This open-label, nonrandomized trial will enroll 93 (31 depressive, 31 euthymic, and 31 hypomanic) adults diagnosed with bipolar disorder type I/II (Diagnostic and Statistical Manual of Mental Disorders, 5th edition criteria) and owning an iPhone. Clinical evaluations will be performed by psychiatrists at the baseline and after 2 weeks, 1 month, 2 months, and 3 months during the follow-up. Rather than only accessing the daily mood symptoms, the Toi Même app also integrates ecological momentary assessments through 2 gamified tests to assess cognition speed (QUiCKBRAIN) and affective responses (PLAYiMOTIONS) in real-life contexts, continuously measures daily motor activities (eg, number of steps, distance) using the smartphone’s motion sensors, and performs a comprehensive weekly assessment. RESULTS: Recruitment began in April 2018 and the completion of the study is estimated to be in December 2021. As of April 2019, 25 participants were enrolled in the study. The first results are expected to be submitted for publication in 2020. This project has been funded by the Perception and Memory Unit of the Pasteur Institute (Paris) and it has received the final ethical/research approvals in April 2018 (ID-RCB: 2017-A02450-53). CONCLUSIONS: Our results will add to the evidence of exploring other alternatives toward a more integrated approach in the management of bipolar disorder, including digital phenotyping, to develop an ethical and clinically meaningful framework for investigating, diagnosing, and treating individuals at risk of developing bipolar disorder or currently experiencing bipolar disorder. Further prospective studies on the validity of automatically generated smartphone data are needed for better understanding the longitudinal pattern of mood instability in bipolar disorder as well as to establish the reliability, efficacy, and cost-effectiveness of such an app intervention for patients with bipolar disorder. TRIAL REGISTRATION: ClinicalTrials.gov NCT03508427; https://clinicaltrials.gov/ct2/show/NCT03508427 INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/18818 |
format | Online Article Text |
id | pubmed-7463390 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-74633902020-09-17 Toi Même, a Mobile Health Platform for Measuring Bipolar Illness Activity: Protocol for a Feasibility Study Dargél, Aroldo A Mosconi, Elise Masson, Marc Plaze, Marion Taieb, Fabien Von Platen, Cassandra Buivan, Tan Phuc Pouleriguen, Guillaume Sanchez, Marie Fournier, Stéphane Lledo, Pierre-Marie Henry, Chantal JMIR Res Protoc Protocol BACKGROUND: The diagnosis and management of bipolar disorder are limited by the absence of available biomarkers. Patients with bipolar disorder frequently present with mood instability even during remission, which is likely associated with the risk of relapse, impaired functioning, and suicidal behavior, indicating that the illness is active. OBJECTIVE: This research protocol aimed to investigate the correlations between clinically rated mood symptoms and mood/behavioral data automatically collected using the Toi Même app in patients with bipolar disorder presenting with different mood episodes. This study also aimed to assess the feasibility of this app for self-monitoring subjective and objective mood/behavior parameters in those patients. METHODS: This open-label, nonrandomized trial will enroll 93 (31 depressive, 31 euthymic, and 31 hypomanic) adults diagnosed with bipolar disorder type I/II (Diagnostic and Statistical Manual of Mental Disorders, 5th edition criteria) and owning an iPhone. Clinical evaluations will be performed by psychiatrists at the baseline and after 2 weeks, 1 month, 2 months, and 3 months during the follow-up. Rather than only accessing the daily mood symptoms, the Toi Même app also integrates ecological momentary assessments through 2 gamified tests to assess cognition speed (QUiCKBRAIN) and affective responses (PLAYiMOTIONS) in real-life contexts, continuously measures daily motor activities (eg, number of steps, distance) using the smartphone’s motion sensors, and performs a comprehensive weekly assessment. RESULTS: Recruitment began in April 2018 and the completion of the study is estimated to be in December 2021. As of April 2019, 25 participants were enrolled in the study. The first results are expected to be submitted for publication in 2020. This project has been funded by the Perception and Memory Unit of the Pasteur Institute (Paris) and it has received the final ethical/research approvals in April 2018 (ID-RCB: 2017-A02450-53). CONCLUSIONS: Our results will add to the evidence of exploring other alternatives toward a more integrated approach in the management of bipolar disorder, including digital phenotyping, to develop an ethical and clinically meaningful framework for investigating, diagnosing, and treating individuals at risk of developing bipolar disorder or currently experiencing bipolar disorder. Further prospective studies on the validity of automatically generated smartphone data are needed for better understanding the longitudinal pattern of mood instability in bipolar disorder as well as to establish the reliability, efficacy, and cost-effectiveness of such an app intervention for patients with bipolar disorder. TRIAL REGISTRATION: ClinicalTrials.gov NCT03508427; https://clinicaltrials.gov/ct2/show/NCT03508427 INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/18818 JMIR Publications 2020-08-18 /pmc/articles/PMC7463390/ /pubmed/32638703 http://dx.doi.org/10.2196/18818 Text en ©Aroldo A Dargél, Elise Mosconi, Marc Masson, Marion Plaze, Fabien Taieb, Cassandra Von Platen, Tan Phuc Buivan, Guillaume Pouleriguen, Marie Sanchez, Stéphane Fournier, Pierre-Marie Lledo, Chantal Henry. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 18.08.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on http://www.researchprotocols.org, as well as this copyright and license information must be included. |
spellingShingle | Protocol Dargél, Aroldo A Mosconi, Elise Masson, Marc Plaze, Marion Taieb, Fabien Von Platen, Cassandra Buivan, Tan Phuc Pouleriguen, Guillaume Sanchez, Marie Fournier, Stéphane Lledo, Pierre-Marie Henry, Chantal Toi Même, a Mobile Health Platform for Measuring Bipolar Illness Activity: Protocol for a Feasibility Study |
title | Toi Même, a Mobile Health Platform for Measuring Bipolar Illness Activity: Protocol for a Feasibility Study |
title_full | Toi Même, a Mobile Health Platform for Measuring Bipolar Illness Activity: Protocol for a Feasibility Study |
title_fullStr | Toi Même, a Mobile Health Platform for Measuring Bipolar Illness Activity: Protocol for a Feasibility Study |
title_full_unstemmed | Toi Même, a Mobile Health Platform for Measuring Bipolar Illness Activity: Protocol for a Feasibility Study |
title_short | Toi Même, a Mobile Health Platform for Measuring Bipolar Illness Activity: Protocol for a Feasibility Study |
title_sort | toi même, a mobile health platform for measuring bipolar illness activity: protocol for a feasibility study |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7463390/ https://www.ncbi.nlm.nih.gov/pubmed/32638703 http://dx.doi.org/10.2196/18818 |
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