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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。

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.

机构信息

Digital Innovation Group, Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain.

Copenhagen Affective Disorder research Center (CADIC), Psychiatric Center Copenhagen, Copenhagen, Denmark.

出版信息

Bipolar Disord. 2022 Sep;24(6):580-614. doi: 10.1111/bdi.13243. Epub 2022 Aug 11.

Abstract

BACKGROUND

The clinical effects of smartphone-based interventions for bipolar disorder (BD) have yet to be established.

OBJECTIVES

To examine the efficacy of smartphone-based interventions in BD and how the included studies reported user-engagement indicators.

METHODS

We conducted a systematic search on January 24, 2022, in PubMed, Scopus, Embase, APA PsycINFO, and Web of Science. We used random-effects meta-analysis to calculate the standardized difference (Hedges' g) in pre-post change scores between smartphone intervention and control conditions. The study was pre-registered with PROSPERO (CRD42021226668).

RESULTS

The literature search identified 6034 studies. Thirteen articles fulfilled the selection criteria. We included seven RCTs and performed meta-analyses comparing the pre-post change in depressive and (hypo)manic symptom severity, functioning, quality of life, and perceived stress between smartphone interventions and control conditions. There was significant heterogeneity among studies and no meta-analysis reached statistical significance. Results were also inconclusive regarding affective relapses and psychiatric readmissions. All studies reported positive user-engagement indicators.

CONCLUSION

We did not find evidence to support that smartphone interventions may reduce the severity of depressive or manic symptoms in BD. The high heterogeneity of studies supports the need for expert consensus to establish ideally how studies should be designed and the use of more sensitive outcomes, such as affective relapses and psychiatric hospitalizations, as well as the quantification of mood instability. The ISBD Big Data Task Force provides preliminary recommendations to reduce the heterogeneity and achieve more valid evidence in the field.

摘要

背景

基于智能手机的干预措施治疗双相情感障碍(BD)的临床疗效尚未确定。

目的

研究基于智能手机的干预措施在 BD 中的疗效,以及纳入的研究报告用户参与指标的情况。

方法

我们于 2022 年 1 月 24 日在 PubMed、Scopus、Embase、APA PsycINFO 和 Web of Science 上进行了系统检索。我们使用随机效应荟萃分析计算智能手机干预和对照组之间在预-后变化分数上的标准化差异(Hedges'g)。该研究在 PROSPERO(CRD42021226668)上进行了预先注册。

结果

文献检索共确定了 6034 项研究。13 篇文章符合入选标准。我们纳入了 7 项 RCT,并对智能手机干预与对照组之间抑郁和(轻躁狂)症状严重程度、功能、生活质量和感知压力的预-后变化进行了荟萃分析。研究之间存在显著的异质性,没有一项荟萃分析达到统计学意义。关于情感复发和精神科再入院的结果也不确定。所有研究都报告了积极的用户参与指标。

结论

我们没有发现证据支持智能手机干预可以减轻 BD 患者的抑郁或躁狂症状严重程度。研究的高度异质性支持需要专家共识来确定研究应该如何设计,以及使用更敏感的结局,如情感复发和精神病住院,以及量化情绪不稳定。ISBD 大数据工作组提供了初步建议,以减少该领域的异质性并获得更有效的证据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e29d/9804696/f0f694bbd9d5/BDI-24-580-g001.jpg

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