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基于应用程序的移动健康干预措施减轻焦虑和抑郁症状的有效性及最小有效剂量:系统评价与荟萃分析

Effectiveness and Minimum Effective Dose of App-Based Mobile Health Interventions for Anxiety and Depression Symptom Reduction: Systematic Review and Meta-Analysis.

作者信息

Lu Sheng-Chieh, Xu Mindy, Wang Mei, Hardi Angela, Cheng Abby L, Chang Su-Hsin, Yen Po-Yin

机构信息

Department of Symptom Research, University of Texas MD Anderson Cancer Center, Houston, TX, United States.

Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.

出版信息

JMIR Ment Health. 2022 Sep 7;9(9):e39454. doi: 10.2196/39454.

Abstract

BACKGROUND

Mobile health (mHealth) apps offer new opportunities to deliver psychological treatments for mental illness in an accessible, private format. The results of several previous systematic reviews support the use of app-based mHealth interventions for anxiety and depression symptom management. However, it remains unclear how much or how long the minimum treatment "dose" is for an mHealth intervention to be effective. Just-in-time adaptive intervention (JITAI) has been introduced in the mHealth domain to facilitate behavior changes and is positioned to guide the design of mHealth interventions with enhanced adherence and effectiveness.

OBJECTIVE

Inspired by the JITAI framework, we conducted a systematic review and meta-analysis to evaluate the dose effectiveness of app-based mHealth interventions for anxiety and depression symptom reduction.

METHODS

We conducted a literature search on 7 databases (ie, Ovid MEDLINE, Embase, PsycInfo, Scopus, Cochrane Library (eg, CENTRAL), ScienceDirect, and ClinicalTrials, for publications from January 2012 to April 2020. We included randomized controlled trials (RCTs) evaluating app-based mHealth interventions for anxiety and depression. The study selection and data extraction process followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We estimated the pooled effect size using Hedge g and appraised study quality using the revised Cochrane risk-of-bias tool for RCTs.

RESULTS

We included 15 studies involving 2627 participants for 18 app-based mHealth interventions. Participants in the intervention groups showed a significant effect on anxiety (Hedge g=-.10, 95% CI -0.14 to -0.06, I2=0%) but not on depression (Hedge g=-.08, 95% CI -0.23 to 0.07, I2=4%). Interventions of at least 7 weeks' duration had larger effect sizes on anxiety symptom reduction.

CONCLUSIONS

There is inconclusive evidence for clinical use of app-based mHealth interventions for anxiety and depression at the current stage due to the small to nonsignificant effects of the interventions and study quality concerns. The recommended dose of mHealth interventions and the sustainability of intervention effectiveness remain unclear and require further investigation.

摘要

背景

移动健康(mHealth)应用程序为以可访问、私密的形式提供精神疾病心理治疗带来了新机遇。此前多项系统评价的结果支持使用基于应用程序的移动健康干预措施来管理焦虑和抑郁症状。然而,尚不清楚移动健康干预措施要达到有效所需的最小治疗“剂量”是多少或持续多长时间。即时自适应干预(JITAI)已被引入移动健康领域以促进行为改变,并旨在指导设计具有更高依从性和有效性的移动健康干预措施。

目的

受JITAI框架启发,我们进行了一项系统评价和荟萃分析,以评估基于应用程序的移动健康干预措施对减轻焦虑和抑郁症状的剂量效果。

方法

我们在7个数据库(即Ovid MEDLINE、Embase、PsycInfo、Scopus、Cochrane图书馆(如CENTRAL)、ScienceDirect和ClinicalTrials)中进行文献检索,以查找2012年1月至2020年4月期间的出版物。我们纳入了评估基于应用程序的移动健康干预措施治疗焦虑和抑郁的随机对照试验(RCT)。研究选择和数据提取过程遵循系统评价和荟萃分析的首选报告项目(PRISMA)指南。我们使用Hedge g估计合并效应量,并使用修订后的Cochrane随机对照试验偏倚风险工具评估研究质量。

结果

我们纳入了15项研究,涉及2627名参与者,进行了18项基于应用程序的移动健康干预。干预组参与者在焦虑方面显示出显著效果(Hedge g = -0.10,95%CI -0.14至-0.06,I² = 0%),但在抑郁方面未显示出显著效果(Hedge g = -0.08,95%CI -0.23至0.07,I² = 4%)。持续至少7周的干预措施对减轻焦虑症状的效应量更大。

结论

由于干预措施的效果较小或不显著以及研究质量问题,目前尚无确凿证据支持将基于应用程序的移动健康干预措施用于临床治疗焦虑和抑郁。移动健康干预措施的推荐剂量以及干预效果的可持续性仍不明确,需要进一步研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e23e/9494214/8124cf37e5e2/mental_v9i9e39454_fig1.jpg

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