背景:智能手机提供的注意偏差调整训练(ABMT)干预已成为缓解心理健康问题症状的远程解决方案。然而,现有文献提供了混合的结果,表明智能手机提供的干预措施的影响显着和不显著。
目的:本系统综述和荟萃分析旨在评估智能手机提供的ABMT对注意偏差和心理健康问题症状的影响。具体来说,我们研究了不同的设计方法和管理方法,关注常见的心理健康问题,比如焦虑和抑郁,和设计元素,包括游戏化和刺激类型。
方法:我们的搜索范围从2014年到2023年,涵盖了4个主要数据库:MEDLINE,PsycINFO,PubMed,还有Scopus.研究选择,数据提取,3名作者使用PRISMA(系统评价和荟萃分析的首选报告项目)指南独立进行批判性评估。必要时,我们将标准化平均差与95%CI进行汇总.此外,我们进行了敏感性,子组,和荟萃回归分析,以探索积极和安慰剂ABMT干预对减轻心理健康问题和注意偏差症状的调节变量。
结果:我们的综述包括12篇论文,共有24503人参加,我们能够对来自11篇论文的20个不同的研究样本进行荟萃分析。积极的ABMT在减少心理健康问题的症状方面表现出-0.18(P=0.03)的效应大小(Hedgesg),而整体效果仍然显著。同样,安慰剂ABMT在减轻精神健康问题症状方面的效应大小为-0.38(P=.008)。此外,主动ABMT(对冲g-0.17;P=0.004)对减少注意偏差有显著影响,而安慰剂ABMT没有显著改变注意偏倚(Hedgesg-0.04;P=0.66)。
结论:我们对智能手机提供的ABMT潜力的理解突出了积极和安慰剂干预在精神保健中的价值。主持人分析的见解还表明,针对特定威胁刺激定制智能手机提供的ABMT干预措施并考虑暴露持续时间对于优化其功效至关重要。这项研究强调了ABMT中个性化方法的必要性,以有效减少注意偏差和心理健康问题的症状。
背景:PROSPEROCRD42023460749;https://www.crd.约克。AC.uk/prospro/display_record.php?RecordID=460749。
BACKGROUND: Smartphone-delivered attentional bias modification training (ABMT) intervention has gained popularity as a remote solution for alleviating symptoms of mental health problems. However, the existing literature presents mixed results indicating both significant and insignificant effects of smartphone-delivered interventions.
OBJECTIVE: This systematic review and meta-analysis aims to assess the impact of smartphone-delivered ABMT on attentional bias and symptoms of mental health problems. Specifically, we examined different design approaches and methods of administration, focusing on common mental health issues, such as anxiety and depression, and design elements, including gamification and stimulus types.
METHODS: Our search spanned from 2014 to 2023 and encompassed 4 major databases: MEDLINE, PsycINFO, PubMed, and Scopus. Study selection, data extraction, and critical appraisal were performed independently by 3 authors using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. When necessary, we pooled the standardized mean difference with a 95% CI. In addition, we conducted sensitivity, subgroup, and meta-regression analyses to explore moderator variables of active and placebo ABMT interventions on reducing symptoms of mental health problems and attentional bias.
RESULTS: Our review included 12 papers, involving a total of 24,503 participants, and we were able to conduct a meta-analysis on 20 different study samples from 11 papers. Active ABMT exhibited an effect size (Hedges g) of -0.18 (P=.03) in reducing symptoms of mental health problems, while the overall effect remained significant. Similarly, placebo ABMT showed an effect size of -0.38 (P=.008) in reducing symptoms of mental health problems. In addition, active ABMT (Hedges g -0.17; P=.004) had significant effects on reducing attentional bias, while placebo ABMT did not significantly alter attentional bias (Hedges g -0.04; P=.66).
CONCLUSIONS: Our understanding of smartphone-delivered ABMT\'s potential highlights the value of both active and placebo interventions in mental health care. The insights from the moderator analysis also showed that tailoring smartphone-delivered ABMT interventions to specific threat stimuli and considering exposure duration are crucial for optimizing their efficacy. This research underscores the need for personalized approaches in ABMT to effectively reduce attentional bias and symptoms of mental health problems.
BACKGROUND: PROSPERO CRD42023460749; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=460749.