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基于应用程序的精神障碍辅助干预措施的累加效应——随机对照试验的系统评价与荟萃分析

Additive effects of adjunctive app-based interventions for mental disorders - A systematic review and meta-analysis of randomised controlled trials.

作者信息

Fuhrmann Lukas M, Weisel Kiona K, Harrer Mathias, Kulke Jennifer K, Baumeister Harald, Cuijpers Pim, Ebert David D, Berking Matthias

机构信息

Department of Clinical Psychology and Psychotherapy, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.

Department of Psychology and Digital Mental Health Care, Technical University Munich, Munich, Germany.

出版信息

Internet Interv. 2023 Dec 18;35:100703. doi: 10.1016/j.invent.2023.100703. eCollection 2024 Mar.

Abstract

BACKGROUND

It is uncertain whether app-based interventions add value to existing mental health care.

OBJECTIVE

To examine the incremental effects of app-based interventions when used as adjunct to mental health interventions.

METHODS

We searched PubMed, PsycINFO, Scopus, Web of Science, and Cochrane Library databases on September 15th, 2023, for randomised controlled trials (RCTs) on mental health interventions with an adjunct app-based intervention compared to the same intervention-only arm for adults with mental disorders or respective clinically relevant symptomatology. We conducted meta-analyses on symptoms of different mental disorders at postintervention. PROSPERO, CRD42018098545.

RESULTS

We identified 46 RCTs (4869 participants). Thirty-two adjunctive app-based interventions passively or actively monitored symptoms and behaviour, and in 13 interventions, the monitored data were sent to a therapist. We found additive effects on symptoms of depression ( = 0.17; 95 % CI 0.02 to 0.33;  = 7 comparisons), anxiety ( = 0.80; 95 % CI 0.06 to 1.54;  = 3), mania ( = 0.2; 95 % CI 0.02 to 0.38;  = 4), smoking cessation ( = 0.43; 95 % CI 0.29 to 0.58;  = 10), and alcohol use ( = 0.23; 95 % CI 0.08 to 0.39;  = 7). No significant effects were found on symptoms of depression within a bipolar disorder ( = -0.07; 95 % CI -0.37 to 0.23,  = 4) and eating disorders ( = -0.02; 95 % CI -0.44 to 0.4,  = 3). Studies on depression, mania, smoking, and alcohol use had a low heterogeneity between the trials. For other mental disorders, only single studies were identified. Only ten studies had a low risk of bias, and 25 studies reported insufficient statistical power.

DISCUSSION

App-based interventions may be used to enhance mental health interventions to further reduce symptoms of depression, anxiety, mania, smoking, and alcohol use. However, the effects were small, except for anxiety, and limited due to study quality. Further high-quality research with larger sample sizes is warranted to better understand how app-based interventions can be most effectively combined with established interventions to improve outcomes.

摘要

背景

基于应用程序的干预措施是否能为现有的心理健康护理增添价值尚不确定。

目的

研究基于应用程序的干预措施作为心理健康干预辅助手段时的增量效果。

方法

我们于2023年9月15日在PubMed、PsycINFO、Scopus、Web of Science和Cochrane图书馆数据库中检索了关于心理健康干预的随机对照试验(RCT),这些试验将基于应用程序的辅助干预与仅进行相同干预的对照组进行比较,针对患有精神障碍或具有相应临床相关症状的成年人。我们对干预后不同精神障碍的症状进行了荟萃分析。国际前瞻性系统评价注册库(PROSPERO)注册号:CRD42018098545。

结果

我们纳入了46项随机对照试验(4869名参与者)。32项基于应用程序的辅助干预措施被动或主动监测症状和行为,13项干预措施将监测数据发送给治疗师。我们发现,这些干预措施对抑郁症症状(标准化均数差[SMD]=0.17;95%置信区间[CI]为0.02至0.33;纳入7项比较)、焦虑症症状(SMD=0.80;95%CI为0.06至1.54;纳入3项)、躁狂症症状(SMD=0.2;95%CI为0.02至0.38;纳入4项)、戒烟(SMD=0.43;95%CI为0.29至0.58;纳入10项)和饮酒(SMD=0.23;95%CI为0.08至0.39;纳入7项)有相加效应。对于双相情感障碍中的抑郁症症状(SMD=-0.07;95%CI为-0.37至0.23,纳入4项)和饮食失调症症状(SMD=-0.02;95%CI为-0.44至0.4,纳入3项),未发现显著效果。关于抑郁症、躁狂症、吸烟和饮酒的研究在各试验之间的异质性较低。对于其他精神障碍,仅识别出单项研究。只有10项研究的偏倚风险较低,25项研究报告统计效力不足。

讨论

基于应用程序的干预措施可用于增强心理健康干预,以进一步减轻抑郁症、焦虑症、躁狂症、吸烟和饮酒的症状。然而,除焦虑症外,效果较小,且由于研究质量的原因受到限制。有必要开展进一步的大样本高质量研究,以更好地了解如何将基于应用程序的干预措施与既定干预措施最有效地结合起来以改善治疗效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d17/10788289/98ff744ec93c/gr1.jpg

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