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移动评估在青少年心理健康监测中的应用:伞式综述。

The Use of Mobile Assessments for Monitoring Mental Health in Youth: Umbrella Review.

机构信息

Lee Kum Sheung Center for Health and Happiness, Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, United States.

Dana Farber Cancer Institute, Boston, MA, United States.

出版信息

J Med Internet Res. 2023 Sep 19;25:e45540. doi: 10.2196/45540.

Abstract

BACKGROUND

Improving mental health in youth is a major concern. Future approaches to monitor and intervene in youth mental health problems should rely on mobile tools that allow for the daily monitoring of mental health both actively (eg, using ecological momentary assessments [EMAs]) and passively (eg, digital phenotyping) by capturing individuals' data.

OBJECTIVE

This umbrella review aims to (1) report the main characteristics of existing reviews on mental health and young people, including mobile approaches to mental health; (2) describe EMAs and trace data and the mental health conditions investigated; (3) report the main results; and (4) outline promises, limitations, and directions for future research.

METHODS

A systematic literature search was carried out in 9 scientific databases (Communication & Mass Media Complete, Psychology and Behavioral Sciences Collection, PsycINFO, CINAHL, ERIC, MEDLINE, the ProQuest Sociology Database, Web of Science, and PubMed) on January 30, 2022, coupled with a hand search and updated in July 2022. We included (systematic) reviews of EMAs and trace data in the context of mental health, with a specific focus on young populations, including children, adolescents, and young adults. The quality of the included reviews was evaluated using the AMSTAR (Assessment of Multiple Systematic Reviews) checklist.

RESULTS

After the screening process, 30 reviews (published between 2016 and 2022) were included in this umbrella review, of which 21 (70%) were systematic reviews and 9 (30%) were narrative reviews. The included systematic reviews focused on symptoms of depression (5/21, 24%); bipolar disorders, schizophrenia, or psychosis (6/21, 29%); general ill-being (5/21, 24%); cognitive abilities (2/21, 9.5%); well-being (1/21, 5%); personality (1/21, 5%); and suicidal thoughts (1/21, 5%). Of the 21 systematic reviews, 15 (71%) summarized studies that used mobile apps for tracing, 2 (10%) summarized studies that used them for intervention, and 4 (19%) summarized studies that used them for both intervention and tracing. Mobile tools used in the systematic reviews were smartphones only (8/21, 38%), smartphones and wearable devices (6/21, 29%), and smartphones with other tools (7/21, 33%). In total, 29% (6/21) of the systematic reviews focused on EMAs, including ecological momentary interventions; 33% (7/21) focused on trace data; and 38% (8/21) focused on both. Narrative reviews mainly focused on the discussion of issues related to digital phenotyping, existing theoretical frameworks used, new opportunities, and practical examples.

CONCLUSIONS

EMAs and trace data in the context of mental health assessments and interventions are promising tools. Opportunities (eg, using mobile approaches in low- and middle-income countries, integration of multimodal data, and improving self-efficacy and self-awareness on mental health) and limitations (eg, absence of theoretical frameworks, difficulty in assessing the reliability and effectiveness of such approaches, and need to appropriately assess the quality of the studies) were further discussed.

TRIAL REGISTRATION

PROSPERO CRD42022347717; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=347717.

摘要

背景

改善青少年的心理健康是一个主要关注点。未来监测和干预青少年心理健康问题的方法应该依赖于移动工具,这些工具可以通过主动(例如,使用生态瞬时评估[EMA])和被动(例如,数字表型)来日常监测心理健康,从而捕获个体数据。

目的

本伞式综述旨在:(1) 报告关于心理健康和年轻人的现有综述的主要特征,包括移动心理健康方法;(2) 描述 EMA 和跟踪数据以及调查的心理健康状况;(3) 报告主要结果;(4) 概述承诺、限制和未来研究方向。

方法

于 2022 年 1 月 30 日在 9 个科学数据库(传播与大众媒体完整记录、心理学和行为科学收藏、PsycINFO、CINAHL、ERIC、MEDLINE、ProQuest 社会学数据库、Web of Science 和 PubMed)中进行了系统文献检索,并结合了手工检索和 2022 年 7 月的更新。我们纳入了 EMA 和跟踪数据在心理健康背景下的(系统)综述,特别关注儿童、青少年和年轻人等年轻人群体。使用 AMSTAR(多系统评价评估)清单评估纳入综述的质量。

结果

经过筛选过程,共纳入了 30 篇综述(发表于 2016 年至 2022 年之间),其中 21 篇(70%)为系统综述,9 篇(30%)为叙述性综述。纳入的系统综述主要关注抑郁症状(5/21,24%);双相情感障碍、精神分裂症或精神病(6/21,29%);一般不适(5/21,24%);认知能力(2/21,9.5%);幸福感(1/21,5%);人格(1/21,5%);和自杀念头(1/21,5%)。在 21 篇系统综述中,15 篇(71%)总结了使用移动应用程序进行追踪的研究,2 篇(10%)总结了使用移动应用程序进行干预的研究,4 篇(19%)总结了同时进行干预和追踪的研究。系统综述中使用的移动工具仅为智能手机(8/21,38%)、智能手机和可穿戴设备(6/21,29%)和智能手机与其他工具(7/21,33%)。总的来说,29%(6/21)的系统综述重点关注 EMA,包括生态瞬时干预;33%(7/21)重点关注跟踪数据;38%(8/21)重点关注两者。叙述性综述主要侧重于与数字表型相关的问题讨论、使用的现有理论框架、新机会和实际示例。

结论

EMA 和跟踪数据在心理健康评估和干预方面是有前途的工具。进一步讨论了机会(例如,在低收入和中等收入国家使用移动方法、整合多模态数据以及提高心理健康方面的自我效能感和自我意识)和限制(例如,缺乏理论框架、难以评估此类方法的可靠性和有效性,以及需要适当评估研究的质量)。

试验注册

PROSPERO CRD42022347717;https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=347717.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/481b/10548333/dce71261e5fd/jmir_v25i1e45540_fig1.jpg

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