• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

Toi Même,一个用于测量双相情感障碍活动的移动健康平台:可行性研究方案。

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

作者信息

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

机构信息

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

Unité Mixte de Recherche 3571, Centre National de la Recherche Scientifique (CNRS), Paris, France.

出版信息

JMIR Res Protoc. 2020 Aug 18;9(8):e18818. doi: 10.2196/18818.

DOI:10.2196/18818
PMID:32638703
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7463390/
Abstract

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.

摘要

背景

双相情感障碍的诊断和管理因缺乏可用的生物标志物而受到限制。双相情感障碍患者即使在缓解期也经常出现情绪不稳定,这可能与复发风险、功能受损和自杀行为有关,表明疾病仍处于活动状态。

目的

本研究方案旨在调查双相情感障碍患者在不同情绪发作期,临床评定的情绪症状与使用Toi Même应用程序自动收集的情绪/行为数据之间的相关性。本研究还旨在评估该应用程序对这些患者自我监测主观和客观情绪/行为参数的可行性。

方法

这项开放标签、非随机试验将招募93名(31名抑郁发作期、31名心境正常期、31名轻躁狂发作期)被诊断为I/II型双相情感障碍(依据《精神疾病诊断与统计手册》第5版标准)且拥有iPhone的成年人。在基线以及随访期间的第2周、1个月、2个月和3个月,由精神科医生进行临床评估。Toi Même应用程序不仅可以获取每日情绪症状,还通过两项游戏化测试整合生态瞬时评估,以在现实生活情境中评估认知速度(QUiCKBRAIN)和情感反应(PLAYiMOTIONS),使用智能手机的运动传感器持续测量每日运动活动(如步数、距离),并进行每周一次的全面评估。

结果

招募工作于2018年4月开始,预计研究在2021年12月完成。截至2019年4月,已有25名参与者入组。预计2020年提交首批研究结果以供发表。该项目由巴斯德研究所(巴黎)的感知与记忆部门资助,并于2018年4月获得最终伦理/研究批准(ID-RCB:2017-A02450-53)。

结论

我们的研究结果将为探索双相情感障碍管理中更综合方法的其他替代方案提供证据,包括数字表型分析,从而建立一个用于调查、诊断和治疗有双相情感障碍风险或正在经历双相情感障碍的个体的伦理且具有临床意义的框架。需要对自动生成的智能手机数据的有效性进行进一步的前瞻性研究,以更好地了解双相情感障碍患者情绪不稳定的纵向模式,并确定此类应用程序干预对双相情感障碍患者的可靠性、有效性和成本效益。

试验注册

ClinicalTrials.gov NCT03508427;https://clinicaltrials.gov/ct2/show/NCT03508427。

国际注册报告识别码(IRRID):DERR1-10.2196/18818。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10bf/7463390/610f388b5cb6/resprot_v9i8e18818_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10bf/7463390/dfe89645ed3e/resprot_v9i8e18818_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10bf/7463390/50450a63e1ac/resprot_v9i8e18818_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10bf/7463390/610f388b5cb6/resprot_v9i8e18818_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10bf/7463390/dfe89645ed3e/resprot_v9i8e18818_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10bf/7463390/50450a63e1ac/resprot_v9i8e18818_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10bf/7463390/610f388b5cb6/resprot_v9i8e18818_fig3.jpg

相似文献

1
Toi Même, a Mobile Health Platform for Measuring Bipolar Illness Activity: Protocol for a Feasibility Study.Toi Même,一个用于测量双相情感障碍活动的移动健康平台:可行性研究方案。
JMIR Res Protoc. 2020 Aug 18;9(8):e18818. doi: 10.2196/18818.
2
A Smartphone-Based Self-management Intervention for Individuals With Bipolar Disorder (LiveWell): Empirical and Theoretical Framework, Intervention Design, and Study Protocol for a Randomized Controlled Trial.一项针对双相情感障碍患者的基于智能手机的自我管理干预措施(“活得健康”):随机对照试验的实证与理论框架、干预设计及研究方案
JMIR Res Protoc. 2022 Feb 21;11(2):e30710. doi: 10.2196/30710.
3
Personalized Approach Bias Modification Smartphone App ("SWIPE") to Reduce Alcohol Use Among People Drinking at Hazardous or Harmful Levels: Protocol for an Open-Label Feasibility Study.个性化方法偏差修正智能手机应用程序(“SWIPE”)用于减少处于危险或有害饮酒水平人群的酒精使用:一项开放标签可行性研究的方案
JMIR Res Protoc. 2020 Aug 14;9(8):e21278. doi: 10.2196/21278.
4
Supporting Self-management and Quality of Life in Bipolar Disorder With the PolarUs App (Alpha): Protocol for a Mixed Methods Study.使用PolarUs应用程序(Alpha版)支持双相情感障碍患者的自我管理和生活质量:一项混合方法研究的方案
JMIR Res Protoc. 2022 Aug 4;11(8):e36213. doi: 10.2196/36213.
5
Daily electronic monitoring of subjective and objective measures of illness activity in bipolar disorder using smartphones--the MONARCA II trial protocol: a randomized controlled single-blind parallel-group trial.使用智能手机对双相情感障碍患者的疾病活动主观和客观指标进行每日电子监测——MONARCA II试验方案:一项随机对照单盲平行组试验
BMC Psychiatry. 2014 Nov 25;14:309. doi: 10.1186/s12888-014-0309-5.
6
The Digital Marshmallow Test (DMT) Diagnostic and Monitoring Mobile Health App for Impulsive Behavior: Development and Validation Study.数字棉花糖测试(DMT)诊断和监测冲动行为的移动健康应用程序:开发和验证研究。
JMIR Mhealth Uhealth. 2021 Jan 22;9(1):e25018. doi: 10.2196/25018.
7
Behavioral and Self-reported Data Collected From Smartphones for the Assessment of Depressive and Manic Symptoms in Patients With Bipolar Disorder: Prospective Observational Study.使用智能手机收集的行为和自我报告数据可用于评估双相情感障碍患者的抑郁和躁狂症状:前瞻性观察研究。
J Med Internet Res. 2022 Jan 19;24(1):e28647. doi: 10.2196/28647.
8
The effect of smartphone-based monitoring and treatment including clinical feedback versus smartphone-based monitoring without clinical feedback in bipolar disorder: the SmartBipolar trial-a study protocol for a randomized controlled parallel-group trial.基于智能手机的监测和治疗(包括临床反馈)与单纯基于智能手机的监测对双相障碍的效果:SmartBipolar 试验-一项随机对照平行组试验的研究方案。
Trials. 2023 Sep 12;24(1):583. doi: 10.1186/s13063-023-07625-1.
9
Wearable Sensor and Mobile App-Based mHealth Approach for Investigating Substance Use and Related Factors in Daily Life: Protocol for an Ecological Momentary Assessment Study.基于可穿戴传感器和移动应用程序的移动健康方法用于调查日常生活中的物质使用及相关因素:一项生态瞬时评估研究方案
JMIR Res Protoc. 2023 Apr 11;12:e44275. doi: 10.2196/44275.
10
Examining the Theoretical Framework of Behavioral Activation for Major Depressive Disorder: Smartphone-Based Ecological Momentary Assessment Study.审视重度抑郁症行为激活的理论框架:基于智能手机的生态瞬时评估研究。
JMIR Ment Health. 2021 Dec 6;8(12):e32007. doi: 10.2196/32007.

引用本文的文献

1
App-based self-trainings targeting strain recovery and their effect on concentration.基于应用程序的自我训练,针对应变恢复及其对注意力的影响。
Sci Rep. 2023 Nov 13;13(1):19860. doi: 10.1038/s41598-023-45906-6.
2
Mindcraft, a Mobile Mental Health Monitoring Platform for Children and Young People: Development and Acceptability Pilot Study.Mindcraft,一款面向儿童和青少年的移动心理健康监测平台:开发与可接受性试点研究。
JMIR Form Res. 2023 Jun 26;7:e44877. doi: 10.2196/44877.
3
Developing "MinDag" - an app to capture symptom variation and illness mechanisms in bipolar disorder.

本文引用的文献

1
Allostatic load, emotional hyper-reactivity, and functioning in individuals with bipolar disorder.双相障碍个体的应激负荷、情绪高反应性和功能。
Bipolar Disord. 2020 Nov;22(7):711-721. doi: 10.1111/bdi.12927. Epub 2020 May 16.
2
Mobile Phone and Smartphone Use by People With Serious Mental Illness.患有严重精神疾病的人使用手机和智能手机。
Psychiatr Serv. 2020 Mar 1;71(3):280-283. doi: 10.1176/appi.ps.201900203. Epub 2019 Nov 20.
3
Reporting guidelines on remotely collected electronic mood data in mood disorder (eMOOD)-recommendations.
开发“MinDag”——一款用于捕捉双相情感障碍症状变化和发病机制的应用程序。
Front Med Technol. 2022 Jul 22;4:910533. doi: 10.3389/fmedt.2022.910533. eCollection 2022.
4
Wearable, Environmental, and Smartphone-Based Passive Sensing for Mental Health Monitoring.用于心理健康监测的可穿戴、环境及基于智能手机的被动传感
Front Digit Health. 2021 Apr 7;3:662811. doi: 10.3389/fdgth.2021.662811. eCollection 2021.
5
Conceptual Ambiguity Surrounding Gamification and Serious Games in Health Care: Literature Review and Development of Game-Based Intervention Reporting Guidelines (GAMING).概念模糊性围绕游戏化和严肃游戏在医疗保健:文献综述和发展基于游戏的干预措施报告指南(GAMING)。
J Med Internet Res. 2021 Sep 10;23(9):e30390. doi: 10.2196/30390.
6
Digital Phenotyping in Bipolar Disorder: Which Integration with Clinical Endophenotypes and Biomarkers?双相障碍的数字化表型:与临床内表型和生物标志物的哪种整合?
Int J Mol Sci. 2020 Oct 16;21(20):7684. doi: 10.3390/ijms21207684.
报告心境障碍(eMOOD)中远程采集电子心境数据的指南——建议。
Transl Psychiatry. 2019 Jun 7;9(1):162. doi: 10.1038/s41398-019-0484-8.
4
Is smartphone-based mood instability associated with stress, quality of life, and functioning in bipolar disorder?基于智能手机的情绪不稳定是否与双相情感障碍中的压力、生活质量和功能有关?
Bipolar Disord. 2019 Nov;21(7):611-620. doi: 10.1111/bdi.12796. Epub 2019 May 27.
5
Real-time Mobile Monitoring of the Dynamic Associations Among Motor Activity, Energy, Mood, and Sleep in Adults With Bipolar Disorder.实时移动监测双相情感障碍成人的运动活动、能量、情绪和睡眠之间的动态关联。
JAMA Psychiatry. 2019 Feb 1;76(2):190-198. doi: 10.1001/jamapsychiatry.2018.3546.
6
Daily and weekly mood ratings using a remote capture method in high-risk offspring of bipolar parents: Compliance and symptom monitoring.使用远程采集方法对双相父母的高危子女进行日常和每周情绪评分:依从性和症状监测。
Bipolar Disord. 2019 Mar;21(2):159-167. doi: 10.1111/bdi.12721. Epub 2018 Dec 12.
7
Activation Levels, Cardiovascular Risk, and Functional Impairment in Remitted Bipolar Patients: Clinical Relevance of a Dimensional Approach.缓解期双相情感障碍患者的激活水平、心血管风险及功能损害:维度方法的临床相关性
Psychother Psychosom. 2019;88(1):45-47. doi: 10.1159/000493690. Epub 2018 Oct 11.
8
OpenSIMPLe: A real-world implementation feasibility study of a smartphone-based psychoeducation programme for bipolar disorder.OpenSIMPLe:基于智能手机的双相情感障碍心理教育方案的真实世界实施可行性研究。
J Affect Disord. 2018 Dec 1;241:436-445. doi: 10.1016/j.jad.2018.08.048. Epub 2018 Aug 14.
9
Emotional hyper-reactivity and cardiometabolic risk in remitted bipolar patients: a machine learning approach.缓解期双相情感障碍患者的情绪过度反应与心血管代谢风险:一种机器学习方法。
Acta Psychiatr Scand. 2018 Oct;138(4):348-359. doi: 10.1111/acps.12901. Epub 2018 May 15.
10
Longitudinal mood monitoring in bipolar disorder: Course of illness as revealed through a short messaging service.双相情感障碍的纵向情绪监测:通过短信服务揭示的疾病进程。
J Affect Disord. 2017 Dec 1;223:139-145. doi: 10.1016/j.jad.2017.07.029. Epub 2017 Jul 10.