• 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

基于移动应用程序的双相情感障碍评估与监测自我报告问卷:系统评价

Mobile App-Based Self-Report Questionnaires for the Assessment and Monitoring of Bipolar Disorder: Systematic Review.

作者信息

Chan Eric C, Sun Yuting, Aitchison Katherine J, Sivapalan Sudhakar

机构信息

Department of Psychiatry, University of Alberta, Edmonton, AB, Canada.

出版信息

JMIR Form Res. 2021 Jan 8;5(1):e13770. doi: 10.2196/13770.

DOI:10.2196/13770
PMID:33416510
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7822726/
Abstract

BACKGROUND

Bipolar disorder is a chronic, progressive illness characterized by recurrent episodes of mania and depression. Self-report scales have historically played a significant role in the monitoring of bipolar symptoms. However, these tools rely on episodic memory, which can be unreliable and do not allow the clinician to monitor brief episodic symptoms or the course of symptoms over shorter periods of time. Mobile app-based questionnaires have been suggested as a tool to improve monitoring of patients with bipolar disorder.

OBJECTIVE

This paper aims to determine the feasibility and validity of mobile app-based self-report questionnaires.

METHODS

We performed a systematic review of the literature according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. The PubMed, PsycInfo, Web of Science, Ovid MEDLINE, and EMBASE databases were searched for papers published in English that assessed adherence to and the validity of mobile app-based self-report questionnaires. Relevant studies published from database creation to May 22, 2020, were identified, and results examining the validity of and rates of adherence to app-based self-report questionnaires are reported.

RESULTS

A total of 13 records were identified for inclusion in this review. Of these studies, 4 assessed the concurrent validity of mobile app-based self-report tools, with the majority of findings indicating significant associations between data collected using these tools and the Young Mania Rating Scale, Hamilton Depression Rating Scale-17, or Montgomery-Åsberg Depression Rating Scale (P<.001 to P=.24). Three studies comparing the variability or range of symptoms between patients with bipolar disorder and healthy controls suggested that these data are capable of differentiating between known groups. Two studies demonstrated statistically significant associations between data collected via mobile app-based self-report tools and instruments assessing other clinically important factors. Adherence rates varied across the studies examined. However, good adherence rates (>70%) were observed in all but 1 study using a once-daily assessment. There was a wide range of adherence rates observed in studies using twice-daily assessments (42%-95%).

CONCLUSIONS

These findings suggest that mobile app-based self-report tools are valid in the assessment of symptoms of mania and depression in euthymic patients with bipolar disorder. Data collected using these tools appear to differ between patients with bipolar disorder and healthy controls and are significantly associated with other clinically important measures. It is unclear at this time whether these tools can be used to detect acute episodes of mania or depression in patients with bipolar disorder. Adherence data indicate that patients with bipolar disorder show good adherence to self-report assessments administered daily for the duration of the study periods evaluated.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54fd/7822726/8cd4aa42e22d/formative_v5i1e13770_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54fd/7822726/8cd4aa42e22d/formative_v5i1e13770_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54fd/7822726/8cd4aa42e22d/formative_v5i1e13770_fig1.jpg
摘要

背景

双相情感障碍是一种慢性进行性疾病,其特征为躁狂和抑郁反复发作。自我报告量表在双相情感障碍症状监测中一直发挥着重要作用。然而,这些工具依赖情景记忆,而情景记忆可能不可靠,并且不允许临床医生监测短暂的情景症状或较短时间内的症状过程。基于移动应用程序的问卷已被建议作为改善双相情感障碍患者监测的一种工具。

目的

本文旨在确定基于移动应用程序的自我报告问卷的可行性和有效性。

方法

我们根据PRISMA(系统评价和Meta分析的首选报告项目)指南对文献进行了系统评价。在PubMed、PsycInfo、科学网、Ovid MEDLINE和EMBASE数据库中检索以英文发表的评估基于移动应用程序的自我报告问卷的依从性和有效性的论文。确定了从数据库创建到2020年5月22日发表的相关研究,并报告了检验基于应用程序的自我报告问卷的有效性和依从率的结果。

结果

共确定13条记录纳入本综述。在这些研究中,4项评估了基于移动应用程序的自我报告工具的同时效度,大多数研究结果表明,使用这些工具收集的数据与杨氏躁狂评定量表、汉密尔顿抑郁评定量表-17或蒙哥马利-阿斯伯格抑郁评定量表之间存在显著关联(P<0.001至P=0.24)。3项比较双相情感障碍患者与健康对照者症状变异性或范围的研究表明,这些数据能够区分已知组。2项研究表明,通过基于移动应用程序的自我报告工具收集的数据与评估其他临床重要因素的工具之间存在统计学上的显著关联。在所研究的各项研究中,依从率各不相同。然而,除1项采用每日一次评估的研究外,所有研究的依从率均良好(>70%)。在采用每日两次评估的研究中,观察到的依从率范围很广(42%-95%)。

结论

这些发现表明,基于移动应用程序的自我报告工具在评估双相情感障碍心境正常患者的躁狂和抑郁症状方面是有效的。使用这些工具收集的数据在双相情感障碍患者和健康对照者之间似乎有所不同,并且与其他临床重要指标显著相关。目前尚不清楚这些工具是否可用于检测双相情感障碍患者的躁狂或抑郁急性发作。依从性数据表明,双相情感障碍患者在评估所研究的整个时间段内对每日进行的自我报告评估表现出良好的依从性。

相似文献

1
Mobile App-Based Self-Report Questionnaires for the Assessment and Monitoring of Bipolar Disorder: Systematic Review.基于移动应用程序的双相情感障碍评估与监测自我报告问卷:系统评价
JMIR Form Res. 2021 Jan 8;5(1):e13770. doi: 10.2196/13770.
2
Electronic self-monitoring of mood using IT platforms in adult patients with bipolar disorder: A systematic review of the validity and evidence.在双相情感障碍成年患者中使用信息技术平台进行情绪的电子自我监测:有效性和证据的系统评价
BMC Psychiatry. 2016 Jan 15;16:7. doi: 10.1186/s12888-016-0713-0.
3
Validity of the Aktibipo Self-rating Questionnaire for the Digital Self-assessment of Mood and Relapse Detection in Patients With Bipolar Disorder: Instrument Validation Study.Aktibipo自评问卷在双相情感障碍患者情绪数字自我评估和复发检测中的有效性:工具验证研究
JMIR Ment Health. 2021 Aug 9;8(8):e26348. doi: 10.2196/26348.
4
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.
5
Improving Adherence to Web-Based and Mobile Technologies for People With Psychosis: Systematic Review of New Potential Predictors of Adherence.提高精神病患者对基于网络和移动技术的依从性:依从性新潜在预测因素的系统评价
JMIR Mhealth Uhealth. 2017 Jul 20;5(7):e94. doi: 10.2196/mhealth.7088.
6
Smartphone-Based Self-Monitoring, Treatment, and Automatically Generated Data in Children, Adolescents, and Young Adults With Psychiatric Disorders: Systematic Review.基于智能手机的精神疾病儿童、青少年和青年的自我监测、治疗及自动生成数据:系统评价
JMIR Ment Health. 2020 Oct 29;7(10):e17453. doi: 10.2196/17453.
7
Texting and Mobile Phone App Interventions for Improving Adherence to Preventive Behavior in Adolescents: A Systematic Review.短信及手机应用程序干预对提高青少年预防行为依从性的影响:一项系统评价
JMIR Mhealth Uhealth. 2017 Apr 19;5(4):e50. doi: 10.2196/mhealth.6837.
8
Patients' adherence to smartphone apps in the management of bipolar disorder: a systematic review.双相情感障碍管理中患者对智能手机应用程序的依从性:一项系统评价。
Int J Bipolar Disord. 2021 Jun 3;9(1):19. doi: 10.1186/s40345-021-00224-6.
9
Are existing self-ratings of acute manic symptoms in adults reliable and valid?-A systematic review.成人急性躁狂症状自评量表的信度和效度如何?——系统评价。
Bipolar Disord. 2020 Sep;22(6):558-568. doi: 10.1111/bdi.12906. Epub 2020 Apr 13.
10
Enhancing adherence to antipsychotic treatment for bipolar disorders. Comparison of mobile app-based psychoeducation, group psychoeducation, and the combination of both: protocol of a three-arm single-blinded parallel-group multi-centre randomised trial.提高双相情感障碍患者抗精神病药物治疗的依从性。基于移动应用程序的心理教育、团体心理教育以及两者结合的比较:一项三臂单盲平行组多中心随机试验方案
Clin Ter. 2020 Mar-Apr;171(2):e7-e93. doi: 10.7417/CT.2020.2194.

引用本文的文献

1
The MinDag app for symptom monitoring and feedback to patients and clinicians during the initial treatment of bipolar disorder - a feasibility study.用于双相情感障碍初始治疗期间症状监测及向患者和临床医生反馈的MinDag应用程序——一项可行性研究。
Int J Bipolar Disord. 2025 Apr 3;13(1):14. doi: 10.1186/s40345-025-00382-x.
2
Vaping habits and respiratory symptoms using a smartphone app platform.使用智能手机应用程序平台的 vaping 习惯和呼吸道症状。
BMC Public Health. 2024 Jul 30;24(1):2047. doi: 10.1186/s12889-024-19439-0.
3
Diversity of symptom phenotypes in SARS-CoV-2 community infections observed in multiple large datasets.

本文引用的文献

1
Forecasting Mood in Bipolar Disorder From Smartphone Self-assessments: Hierarchical Bayesian Approach.从智能手机自我评估中预测双相情感障碍的情绪:分层贝叶斯方法。
JMIR Mhealth Uhealth. 2020 Apr 1;8(4):e15028. doi: 10.2196/15028.
2
Use of ecological momentary assessment to detect variability in mood, sleep and stress in bipolar disorder.使用生态瞬时评估来检测双相情感障碍患者情绪、睡眠和压力的变异性。
BMC Res Notes. 2019 Dec 4;12(1):791. doi: 10.1186/s13104-019-4834-7.
3
RoB 2: a revised tool for assessing risk of bias in randomised trials.
在多个大型数据集观察到的 SARS-CoV-2 社区感染中症状表型的多样性。
Sci Rep. 2023 Dec 7;13(1):21705. doi: 10.1038/s41598-023-47488-9.
4
Financial technologies (FinTech) for mental health: The potential of objective financial data to better understand the relationships between financial behavior and mental health.心理健康领域的金融科技:客观金融数据在更好理解金融行为与心理健康之间关系方面的潜力。
Front Psychiatry. 2022 Nov 3;13:810057. doi: 10.3389/fpsyt.2022.810057. eCollection 2022.
5
Smartphone-based interventions in bipolar disorder: Systematic review and meta-analyses of efficacy. A position paper from the International Society for Bipolar Disorders (ISBD) Big Data Task Force.基于智能手机的双相情感障碍干预措施:疗效的系统评价和荟萃分析。国际双相障碍学会(ISBD)大数据工作组的立场文件。
Bipolar Disord. 2022 Sep;24(6):580-614. doi: 10.1111/bdi.13243. Epub 2022 Aug 11.
6
Pictorial Assessment of Health-Related Quality of Life. Development and Pre-Test of the PictoQOL Questionnaire.健康相关生活质量的图像评估。PictoQOL 问卷的制定和预测试。
Int J Environ Res Public Health. 2022 Jan 31;19(3):1620. doi: 10.3390/ijerph19031620.
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.
《随机对照试验偏倚风险评估工具2:修订版》
BMJ. 2019 Aug 28;366:l4898. doi: 10.1136/bmj.l4898.
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
The association between mixed symptoms, irritability and functioning measured using smartphones in bipolar disorder.双相障碍患者中使用智能手机测量的混合症状、易激惹和功能之间的关联。
Acta Psychiatr Scand. 2019 May;139(5):443-453. doi: 10.1111/acps.13021. Epub 2019 Mar 28.
6
Mobile Phone and Wearable Sensor-Based mHealth Approaches for Psychiatric Disorders and Symptoms: Systematic Review.基于手机和可穿戴传感器的精神疾病及症状移动健康方法:系统评价
JMIR Ment Health. 2019 Feb 20;6(2):e9819. doi: 10.2196/mental.9819.
7
Smartphone-based self-monitoring in bipolar disorder: evaluation of usability and feasibility of two systems.基于智能手机的双相情感障碍自我监测:两种系统的可用性和可行性评估。
Int J Bipolar Disord. 2019 Jan 4;7(1):1. doi: 10.1186/s40345-018-0134-8.
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
Thresholds for severity, remission and recovery using the functioning assessment short test (FAST) in bipolar disorder.使用功能评估简短测试(FAST)评估双相障碍严重程度、缓解和康复的阈值。
J Affect Disord. 2018 Nov;240:57-62. doi: 10.1016/j.jad.2018.07.045. Epub 2018 Jul 17.
10
Best Practices for Developing and Validating Scales for Health, Social, and Behavioral Research: A Primer.健康、社会和行为研究量表开发与验证的最佳实践:入门指南。
Front Public Health. 2018 Jun 11;6:149. doi: 10.3389/fpubh.2018.00149. eCollection 2018.